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A Cross-Layer Approach to Managing Risk in Autonomous Systems

ORFAS (Operational Risk Framework for Autonomous Systems) is a structured reference model for defining, propagating, and validating operational risk across autonomous system lifecycles. It establishes a shared language for expressing failure modes, trust boundaries, and control behavior in systems that operate under real-time, intermittent, or isolated conditions.

Coeus Network Insights, Avery Allen (Researcher) • 2026-06-21

Operational Risk & Control Framework for Autonomous Systems Draft 1.2 (ORFAS)

SEE IT . UNDERSTAND IT . TRUST IT . OPERATE IT

ORFAS Responsibility Model

Defines the allocation of authority, execution responsibility, and trust boundaries across the ORFAS lifecycle. This model separates governance (what is allowed) from execution (what is observed and acted upon), clarifying ownership between customer-controlled systems and Coeus-managed capabilities.

ORFAS is:

  • Vendor-neutral
  • Robot-agnostic
  • Runtime-focused
  • Mission-oriented
  • Compatible with existing cybersecurity frameworks
  • Technology-agnostic
01
CONTROL PLANE
Owned by: Customer
  • Defines governance, identity, policy, and authorization structure
  • Sets system-wide operational boundaries and risk tolerance
  • Determines permission models and trust delegation rules
  • Establishes authority hierarchy and escalation paths

Coeus enforces constraints derived from this plane but does not define authority.

02
PREVENT
Owned by: Customer
  • Implements secure architecture and baseline hardening
  • Defines allowed system configurations and invariants
  • Maintains preventive controls against known risk classes
  • Ensures deployment-time safety and configuration correctness

Coeus assumes preventive controls exist and evaluates adherence and drift.

03
DETECT
Owned by: Coeus (Execution Layer)
  • Continuously monitors system state and behavioral signals
  • Detects anomalies, drift, and trust degradation events
  • Correlates multi-layer signals across runtime, identity, and network
  • Maintains runtime state model for deviation analysis
04
RESPOND
Shared Responsibility
  • Coeus generates alerts, recommendations, and automated response options
  • Automated actions execute under policy and control-plane constraints
  • Human operators approve or override high-impact actions
  • Response actions are bounded by containment and safety rules
05
RECOVER
Shared Responsibility
  • Coeus provides recovery validation, forensic visibility, and trust reconstruction support
  • Customer owns final restoration and re-entry decisions
  • SOC or operators coordinate remediation execution
  • System integrity must be revalidated before production re-entry
06
ATTACK SURFACE
Referenced Across All Layers
  • Software and firmware execution surfaces
  • Network and communication boundaries
  • Identity and access surfaces
  • Supply chain and dependency surfaces
  • Human interaction and operational surfaces

Used as contextual input for Detect, Respond, and Recover reasoning layers.

07
HUMAN-IN-THE-LOOP BOUNDARIES
Owned by: Customer
  • Defines when automation is allowed to execute independently
  • Defines escalation thresholds requiring human approval
  • Specifies override authority and emergency control paths
  • Controls autonomy limits for high-risk operations

Coeus enforces these boundaries but does not define them.

08
SUPPLY CHAIN PROVENANCE
Owned by: Customer
  • Defines trust requirements for artifacts, models, and dependencies
  • Establishes firmware and hardware integrity expectations
  • Controls CI/CD and build pipeline trust assumptions
  • Defines acceptable provenance and verification depth

Coeus validates and observes provenance signals but does not guarantee external integrity.

01

CONTROL PLANE
02

PREVENT

 03

DETECT

 04

RESPOND
05

RECOVER
06

ATTACK SURFACE
07

HUMAN-IN-THE-LOOP
08

SUPPLY CHAIN

CONTROL PLANE

Defines system-wide governance, policy enforcement, trust authorization, and operational constraints that regulate behavior across Prevent, Detect, Respond, and Recover. The control plane is the authoritative decision layer for system safety, risk, and autonomy.

GOVERNANCE & POLICY

  • Operational boundary definition and enforcement
  • Risk acceptance and tolerance thresholds
  • Kill-switch authority and activation rules
  • Deployment approval constraints
  • Safety certification requirements
  • Policy versioning and epoch control

TRUST & ACCESS CONTROL

  • Zero-trust enforcement model
  • Role-based and attribute-based access governance
  • Human-in-the-loop boundary enforcement
  • Privilege escalation constraints and validation
  • Cross-system trust delegation rules
  • Session trust and identity binding policies

CONTROL EFFECTIVENESS & SCORING

  • Prevent effectiveness scoring
  • Detect confidence scoring and signal quality
  • Response latency and containment speed metrics
  • Recovery success probability estimation
  • Residual risk quantification
  • Control coverage completeness index

ASSURANCE & VALIDATION

  • Continuous control verification against policy intent
  • Configuration drift detection vs declared state
  • Policy-to-implementation consistency mapping
  • Attestation integrity validation across layers
  • Pre-attack indicator monitoring and validation

SUPPLY CHAIN & DEPENDENCY TRUST

  • Dependency provenance tracking enforcement
  • Build artifact trust validation rules
  • Model and dataset lineage verification
  • Third-party risk scoring and gating
  • CI/CD trust boundary enforcement policies

Linked Systems:

RUNTIME STATE GOVERNANCE

  • System state definitions (Normal / Degraded / Contained / Recovery)
  • State transition rules across PDRR lifecycle
  • Containment level authorization policies
  • Safe-mode operational constraints
  • Recovery exit validation conditions
  • Autonomy level control (human vs system authority split)

CROSS-LAYER COUPLING MODEL

Defines dependency propagation, cascading failure relationships, and trust transitivity across system layers including identity, supply chain, runtime, and attack surface.

  • Dependency graph integrity validation
  • Cross-layer state consistency enforcement
  • Trust inheritance and delegation rules
  • Blast radius modeling under compromise conditions
  • Cascading failure path prediction

System Function:

  • Maps failure propagation from Attack Surface → Detect → Respond → Recover
  • Enforces trust relationships between system layers
  • Provides structural constraints for system-wide resilience modeling

Linked Systems:

TEMPORAL DIMENSION MODEL

Introduces time-aware governance for policy validity, trust decay, and operational sequencing across all system layers.

  • Trust decay modeling for identity, sessions, and devices
  • Policy expiry windows and validity constraints
  • Temporal sequencing rules for deployment and recovery
  • Early warning indicator lifecycle validation
  • Configuration drift over time tracking

Temporal Controls:

  • Time-bounded authorization for sensitive operations
  • Dynamic trust revalidation intervals
  • State transition timing constraints

SAFETY & REGULATORY BINDING

Enforces external regulatory, safety, and compliance requirements as non-bypassable system constraints across all operational layers.

  • Safety constraint enforcement validation
  • Security policy implementation consistency checks
  • Regulatory mapping (NIST, ISO, OWASP, CMMC)
  • Hard gating for Prevent, Detect, Respond, Recover transitions
  • Non-bypassable constraints for critical systems

Binding Scope:

  • Regulatory-to-system control mapping
  • Compliance-driven execution constraints
  • Physical system safety enforcement boundaries

PREVENT

Reduce the likelihood of operational failure by establishing trust, integrity, safety, and security controls before deployment.

  • Agent Isolation & Execution Control
  • Safety Validation & Risk Mitigation
  • Hardware Root of Trust & Secure Key Storage
  • Device Identity & Attestation
  • Secure Platform Integration
  • Secure Operating Environment
  • Secure Software Update Management
  • Embedded System Hardening

Example Technologies:

Technology Comparison Table:

Security Control Enforcement Layer

3.1

Access Control

Implementation

  • RBAC / ABAC policies
  • Least privilege enforcement
  • Session management
  • Device and operator authorization

Human-in-the-Loop

  • Approve privileged access
  • Review role assignments
  • Override emergency restrictions
3.2

Awareness & Training

Implementation

  • Security training programs
  • Operator certification
  • Simulation exercises

Human-in-the-Loop

  • Validate competency
  • Review simulation outcomes
  • Approve operational readiness
3.3

Audit & Accountability

Implementation

  • Event logging
  • Tamper-resistant records
  • Telemetry retention

Human-in-the-Loop

  • Review audit trails
  • Investigate anomalies
  • Authorize corrective actions
3.4

Assessment, Authorization & Monitoring

Implementation

  • Continuous monitoring
  • Control validation
  • Risk assessments

Human-in-the-Loop

  • Approve deployment decisions
  • Validate monitoring results
  • Accept residual risk
3.5

Configuration Management

Implementation

  • Baseline configurations
  • Version control
  • Change management

Human-in-the-Loop

  • Approve changes
  • Review baselines
  • Authorize production updates
3.6

Contingency Planning

Implementation

  • Recovery procedures
  • Backup operations
  • Mission continuity plans

Human-in-the-Loop

  • Initiate recovery
  • Approve fallback modes
  • Validate restoration success
3.7

Identification & Authentication

Implementation

  • Multi-factor authentication
  • Identity lifecycle management
  • Certificate and key management
  • Device and operator verification

Human-in-the-Loop

  • Approve privileged identities
  • Review authentication failures
  • Validate credential issuance
3.8

Incident Response

Implementation

  • Incident detection and triage
  • Containment procedures
  • Recovery workflows
  • Post-incident analysis

Human-in-the-Loop

  • Validate incident severity
  • Approve containment actions
  • Authorize system restoration
3.9

Maintenance

Implementation

  • Preventive maintenance schedules
  • Remote maintenance controls
  • Patch and update management
  • Maintenance logging

Human-in-the-Loop

  • Approve maintenance windows
  • Review maintenance activities
  • Validate operational readiness
3.10

Media Protection

Implementation

  • Encryption of storage media
  • Media access restrictions
  • Secure transport procedures
  • Media sanitization and disposal

Human-in-the-Loop

  • Approve media release
  • Verify destruction procedures
  • Review data handling practices
3.11

Physical & Environmental Protection

Implementation

  • Facility access controls
  • Environmental monitoring
  • Equipment protection
  • Power and safety systems

Human-in-the-Loop

  • Authorize facility access
  • Review environmental alerts
  • Respond to physical incidents
3.12

Planning

Implementation

  • Security planning
  • Operational procedures
  • Mission and contingency planning
  • System documentation maintenance

Human-in-the-Loop

  • Approve strategic plans
  • Validate operational assumptions
  • Review plan effectiveness
3.13

Program Management

Implementation

  • Governance structures
  • Policy management
  • Resource allocation
  • Performance measurement

Human-in-the-Loop

  • Approve policies
  • Set strategic priorities
  • Review program effectiveness
3.14

Personnel Security

Implementation

  • Background screening
  • Role-based assignments
  • Termination procedures
  • Insider threat safeguards

Human-in-the-Loop

  • Approve personnel access
  • Review insider threat indicators
  • Validate onboarding/offboarding
3.15

PII Processing & Transparency

Implementation

  • Privacy impact assessments
  • Data minimization controls
  • Consent management
  • Transparency mechanisms

Human-in-the-Loop

  • Approve privacy practices
  • Review data usage requests
  • Validate compliance requirements
3.16

Risk Assessment

Implementation

  • Threat identification
  • Vulnerability analysis
  • Risk scoring
  • Risk monitoring

Human-in-the-Loop

  • Validate risk assessments
  • Accept residual risk
  • Prioritize mitigation efforts
3.17

System & Services Acquisition

Implementation

  • Security requirements definition
  • Vendor evaluation
  • Secure development practices
  • Acquisition lifecycle controls

Human-in-the-Loop

  • Approve acquisitions
  • Review supplier risk
  • Validate security requirements
3.18

System & Communications Protection

Implementation

  • Network segmentation
  • Encryption in transit
  • Boundary protection
  • Secure communications channels

Human-in-the-Loop

  • Approve communication policies
  • Review network anomalies
  • Authorize architecture changes
3.19

System & Information Integrity

Implementation

  • Integrity monitoring
  • Malware protection
  • Patch management
  • Unauthorized change detection

Human-in-the-Loop

  • Review integrity violations
  • Approve remediation actions
  • Validate corrective measures
3.20

Supply Chain Risk Management

Implementation

  • Supplier assessments
  • Component provenance tracking
  • Third-party risk monitoring
  • Supply chain integrity validation

Human-in-the-Loop

  • Approve critical suppliers
  • Review provenance evidence
  • Accept supply chain risk

Safety Control Enforcement Layer

ASSURANCE / VERIFICATION LAYER

Continuously validates that security, safety, and operational controls defined by the Control Plane are correctly implemented, remain effective, and have not drifted, degraded, or been bypassed across Prevent, Detect, and system runtime behavior.

CONTROL EFFECTIVENESS VALIDATION

  • Prevent Control Enforcement Verification
  • Security Policy Implementation Consistency
  • Configuration Drift vs Intended State
  • Runtime Control Activation Status
  • Safety Constraint Enforcement Validation

SYSTEM INTEGRITY ASSURANCE

  • Cross-Layer Integrity Consistency
  • Secure Boot & Chain-of-Trust Validation
  • Firmware / OS / Model Consistency Checks
  • Artifact & Build Reproducibility Validation
  • Attestation Chain Verification

DETECT RELIABILITY VALIDATION

  • Telemetry Authenticity Verification
  • Signal Integrity vs Noise Ratio Validation
  • Anomaly Detection Calibration Accuracy
  • Sensor Fusion Consistency Checks
  • False Positive / False Negative Drift Tracking

TRUST & IDENTITY ASSURANCE

  • Device Identity Consistency Validation
  • Certificate Chain Integrity Checks
  • Role / Permission Drift Detection
  • Fleet Identity Synchronization Validation
  • Authentication State Consistency

SUPPLY CHAIN & DEPENDENCY ASSURANCE

  • Dependency Graph Integrity Validation
  • Artifact Provenance Verification
  • CI/CD Build Reproducibility Checks
  • Third-Party Behavior Consistency Monitoring
  • Model / Dataset Integrity Validation

More:

PRE-ATTACK SIGNAL VALIDATION

  • Early Warning Indicator Confirmation
  • Reconnaissance Pattern Detection Validation
  • Slow-Burn Anomaly Progression Tracking
  • Pre-Exploit Behavioral Drift Detection
  • Trust Degradation Signal Verification

More:

Example Function:

  • Continuously verifies that Prevent, Detect, and Control Plane assumptions remain true in real time.

ECONOMIC / OPERATIONAL CONSTRAINTS

Models how cost, latency, and operational tradeoffs degrade or shape preventive security strength.

  • Embedded System Hardening
  • Secure Operating Environment
  • Secure Software Update Management
  • Hardware Root of Trust & Secure Key Storage

Constraint effects:

  • Reduced sensor redundancy under cost pressure
  • Delayed patch cycles increasing exposure window
  • Compute-limited detection downgrades
  • Fleet-wide security simplification under scaling pressure

DETECT

Continuously identify deviations from expected secure state by validating system integrity, trust posture, behavior consistency, and environmental signals across all layers of the system. Detect operates as the real-time deviation and trust degradation sensing layer of ASDR.

CORE SYSTEM INTEGRITY

  • Configuration drift detection
  • Secure boot status validation
  • Firmware version consistency checks
  • Update integrity verification
  • Model integrity validation

IDENTITY & TRUST

  • Device identity verification drift
  • Certificate expiration monitoring
  • Role and permission drift detection
  • Fleet identity consistency checks

RUNTIME BEHAVIOR

  • Process integrity anomaly detection
  • Runtime execution deviations
  • Resource usage anomaly detection
  • Control flow deviation tracking

NETWORK & COMMUNICATION

  • Network traffic anomaly detection
  • Unauthorized endpoint communication detection
  • API and service call deviation monitoring
  • Cross-node communication inconsistency tracking

SUPPLY CHAIN INTEGRITY

  • Artifact provenance validation failures
  • Dependency integrity violations (containers, models, libraries)
  • CI/CD pipeline trust inconsistencies
  • Signature chain validation breaks

SENSOR & EDGE INTEGRITY

  • Sensor spoofing and manipulation detection
  • Sensor security posture degradation
  • Environmental data inconsistency detection
  • Edge-device telemetry reliability validation

Example Technologies:

ADVERSARIAL INTENT MODELING

Extends detection beyond anomaly identification into behavioral inference, adversarial strategy reconstruction, and temporal intent evolution modeling.

  • Reconnaissance pattern detection and validation
  • Slow-burn anomaly progression tracking
  • Pre-exploit behavioral drift detection
  • Telemetry authenticity verification
  • Signal integrity vs noise ratio validation

Cross-layer dependency: Attack Surface + Identity + Network + Control Plane

  • Threat behavior classification across system boundaries
  • Intent drift modeling over time windows
  • Correlation of distributed low-signal probing events

RUNTIME STATE MODEL

Defines the continuously evaluated live system state used as the ground truth input for detection, response, and recovery decisions across hardware, software, and network layers.

EXECUTION STATE TRACKING

  • Process lifecycle state monitoring
  • Privilege transition and escalation detection
  • Execution flow consistency validation
  • Runtime memory integrity snapshots

TRUST & ATTESTATION STATE

  • Live device attestation monitoring
  • Certificate validity and trust chain continuity
  • Identity binding consistency across services
  • Session trust decay detection

SYSTEM BEHAVIOR MODEL

  • Expected vs observed behavior drift detection
  • Resource usage baseline deviation tracking
  • Control flow anomaly detection signals
  • Inter-process communication stability analysis

ENVIRONMENTAL & NETWORK STATE

  • Network topology consistency validation
  • Latency variance and jitter anomaly detection
  • External dependency stability monitoring
  • Sensor-to-system synchronization drift detection

SAFETY & CONTROL STATE SYNTHESIS

  • Real-time safety system activation monitoring
  • Fail-safe readiness and threshold tracking
  • Autonomous vs human control authority state mapping
  • Emergency shutdown and containment readiness state

The Runtime State Model serves as the authoritative live reference layer for system behavior, continuously feeding validated state into Detect, Respond, and Recover control decisions.

OBSERVABILITY GAP MODEL

Detects absence of expected signals, degraded telemetry fidelity, and blind spots in system visibility that may indicate silent failures or adversarial evasion.

  • Telemetry authenticity verification
  • Signal integrity degradation detection
  • False positive / false negative drift tracking
  • Cross-layer observability blind spot detection

Gap types:

  • Silent failure (no logs, no alerts, no telemetry)
  • Partial observability collapse (missing subsystem visibility)
  • Sensor trust degradation (data present but unreliable)
  • Uninstrumented attack surface exposure

RESPOND

Detect, contain, and mitigate active incidents through coordinated automated and human-supervised actions that reduce impact, preserve system safety, and restore controlled operation across autonomous systems and distributed environments.

  • Automated Response Execution
  • Fleet-Level Coordinated Response
  • Human-in-the-Loop Control & Approval
  • Advisory Alerts & Risk-Based Recommendations
  • Continuous Adaptation from Incident Feedback

Example Technologies:

CONTAINMENT GRANULARITY

Defines the scope and depth of response actions used to isolate compromise, reduce blast radius, and maintain safe system operation during active incidents. Containment operates across layered system boundaries from process to fleet scale.

PROCESS LEVEL CONTAINMENT

  • Isolate or terminate anomalous process execution
  • Enforce runtime sandbox restrictions
  • Memory and execution flow containment
  • Process-level resource throttling
  • Immediate execution interruption on violation

SERVICE LEVEL CONTAINMENT

  • Disable or isolate compromised service endpoints
  • Revoke service credentials and access tokens
  • Restart service in controlled safe state
  • Redirect traffic to fallback or degraded services
  • Quarantine dependent service interactions

NODE / DEVICE LEVEL CONTAINMENT

  • Isolate device from network and external communication
  • Disable non-essential hardware interfaces
  • Force safe-mode or restricted operational state
  • Lock down local execution environment
  • Trigger on-device integrity containment policies

FLEET LEVEL CONTAINMENT

  • Propagate containment policies across distributed fleet
  • Revoke shared credentials or trust relationships
  • Block compromised update or OTA channels
  • Enforce synchronized safe-state transitions
  • Isolate affected system clusters at scale

ADAPTIVE CONTAINMENT MODES

  • Graceful Degradation Mode (reduced functionality retained)
  • Safe Mode Execution (restricted operational scope)
  • Hard Isolation Mode (full containment of compromised components)
  • Quarantine Mode (isolated but observable execution state)
  • Emergency Shutdown Mode (complete system halt)

CONTAINMENT POLICY ENGINE

  • Automatic blast radius estimation and limitation
  • Risk-driven escalation thresholds
  • Cross-layer containment propagation rules
  • Human authorization gating for high-impact actions
  • Safety override constraints for critical systems

Core Principle: containment actions must minimize operational disruption while maximizing isolation accuracy and preserving system safety under active compromise conditions.

RECOVER

Restores trusted system operation following failure, compromise, or degradation by re-establishing system integrity, validating state consistency, and ensuring safe re-entry into production environments. Recovery is treated as a controlled trust reconstruction process, not a simple restart.

  • Fleet Operations Continuity
  • Incident Classification & State Containment
  • Service Failover & Workload Reassignment
  • System Rollback & Controlled Restoration
  • Firmware / Model Reimaging & Re-provisioning
  • Dependency Remediation & Update Enforcement
  • Identity & Certificate Trust Re-establishment
  • Post-Recovery Validation & Release Gate

RECOVERY INTEGRITY VALIDATION

Ensures that restored systems are consistent with expected secure state before resuming operational execution.

SYSTEM STATE VERIFICATION

  • Boot integrity validation (secure boot chain)
  • Firmware and image checksum verification
  • Configuration baseline reconciliation
  • Runtime and kernel integrity re-validation

IDENTITY & TRUST RE-ESTABLISHMENT

  • Certificate chain re-validation
  • Device identity re-attestation
  • Role and privilege synchronization
  • Session and token invalidation verification

RECOVERY TRUST RECONSTRUCTION DEPTH

Defines the minimum required trust reconstruction level before a system can re-enter production operation after an incident.

  • L1: Service restart validation (local health + logs)
  • L2: Identity and session revalidation
  • L3: Dependency + supply chain integrity verification
  • L4: Full system re-attestation (hardware → application stack)

DEPENDENCY & SUPPLY CHAIN RE-VALIDATION

  • Dependency graph integrity verification
  • Container and artifact provenance validation
  • CI/CD pipeline trust re-verification
  • Third-party integration state auditing

OPERATIONAL SAFETY CONFIRMATION

  • Sensor and input consistency validation
  • Mission state reconciliation
  • Actuator safety readiness checks
  • Telemetry consistency after restoration

Re-entry into production is only permitted once integrity, identity, dependency, and safety validations meet or exceed defined trust thresholds for the system’s recovery level.

ATTACK SURFACE

The attack surface defines all entry points, interfaces, dependencies, and system boundaries through which an autonomous system can be influenced, compromised, or degraded across hardware, software, network, and operational layers.

Blast Radius

Third-Party Components
↓
CI/CD Pipeline
↓
Identity & Access
↓
Secrets Management
↓
Boot Chain
↓
Firmware
↓
Middleware / ROS2
↓
AI Models
↓
Mission Software
↓
Navigation Systems
↓
Cloud APIs
VPN
Cellular
WiFi
Ethernet
Fleet Management
Bluetooth
Sattellite
Telemetry
Field Buses (CAN / Modbus / Serial)
↓
Telemetry
↓
Safety Systems

Autonomy Ontology

Perception
↓
Mapping
↓
Localization
↓
Understanding
↓
Planning
↓
Control
↓
Locomotion
↓
Manipulation
↓
Deployment

Attack Surface

TRUST BOUNDARY LEGEND

Core / Hardware
OS Layer
Virtualization
Human
Network
External
Compute
Middleware
Supply Chain
Cyber Physical
Identity
Data Plane
USB
RISK LEVEL HIGH
TRUST BOUNDARY hardware
ATTACK SURFACE CONTEXT Physical peripheral interface enabling direct hardware interaction with the system
INDICATORS OF COMPROMISE
  • New HID device class detected without enrollment
  • USB storage mount events outside maintenance window
  • Unknown vendor/product ID in dmesg or system logs
  • Unexpected keyboard/mouse input injection patterns
  • Autorun or removable media execution traces
Why
  • Physical entry point into system
  • Common malware delivery vector
  • Human-accessible interface
How
  • Malicious HID emulation devices
  • Bootable media exploitation
  • Firmware-level device spoofing
Prevent
  • Disable unused ports at firmware level
  • Device allowlisting
  • Physical port control in secure deployments
Detect
  • Unexpected device enumeration
  • HID behavioral anomalies
  • Kernel USB insertion logs
Respond
  • Auto-disable port class
  • Isolate host node
  • Revoke device trust
Recover
  • Reimage system
  • Restore trusted device baseline
  • Revalidate firmware integrity
Debug Ports
RISK LEVEL CRITICAL
TRUST BOUNDARY hardware
ATTACK SURFACE CONTEXT Low-level hardware diagnostic interfaces exposing system internals
INDICATORS OF COMPROMISE
  • JTAG/UART handshake signatures outside manufacturing phase
  • Unexpected debug mode flags enabled in firmware state
  • Memory dump access patterns in hardware logs
  • Bootloader read/write operations from external interface
  • Secure boot bypass indicators in early boot logs
Why
  • Direct low-level system access interface
  • Bypasses OS-level security controls
  • Designed for development and diagnostics
How
  • Unauthorized JTAG/UART access
  • Firmware extraction and modification
  • Bootloader manipulation
Prevent
  • Disable debug interfaces in production hardware
  • Fuse-lock or hardware lockout
  • Physical shielding of ports
Detect
  • Unexpected debug handshake signals
  • Firmware integrity mismatch
  • Boot sequence anomalies
Respond
  • Immediate system isolation
  • Disable debug subsystem
  • Trigger hardware trust reset
Recover
  • Reflash firmware from trusted image
  • Re-lock debug interfaces
  • Full attestation re-run
SD Card
RISK LEVEL HIGH
TRUST BOUNDARY hardware
ATTACK SURFACE CONTEXT Removable storage interface enabling offline data injection and boot manipulation
INDICATORS OF COMPROMISE
  • New or modified boot sectors on removable media
  • Unsigned binaries executed from SD mount path
  • Filesystem checksum mismatches on insertion
  • Unexpected auto-mount systemd/udev events
  • Hidden partitions or re-partitioning artifacts
Why
  • Removable storage with direct OS access
  • Easy offline data injection vector
How
  • Malicious file payloads
  • Boot partition modification
  • Data exfiltration via removable media
Prevent
  • Disable external storage mounting
  • Read-only mounting policies
  • Media scanning enforcement
Detect
  • Unexpected mount events
  • File integrity violations
  • Boot config changes
Respond
  • Unmount storage immediately
  • Quarantine affected system
  • Block device identifier
Recover
  • Restore clean filesystem state
  • Rebuild boot partition
  • Revalidate storage integrity baseline
NVMe
RISK LEVEL HIGH
TRUST BOUNDARY hardware
ATTACK SURFACE CONTEXT Persistent storage layer containing OS, data, and firmware-level control surfaces
INDICATORS OF COMPROMISE
  • Sudden SMART reallocation or wear spikes
  • Unexpected NVMe firmware version changes
  • Partition table inconsistencies
  • Unexplained read/write amplification patterns
  • Bootloader hash mismatch from disk image
Why
  • Persistent storage layer containing OS and data
  • Firmware-level manipulation potential
How
  • Firmware corruption attacks
  • Direct memory access abuse
  • Boot partition tampering
Prevent
  • Drive firmware signing enforcement
  • Secure boot chain validation
  • Hardware encryption enablement
Detect
  • SMART attribute anomalies
  • Unexpected partition changes
  • Boot integrity mismatch
Respond
  • Isolate storage device
  • Disable system boot
  • Lock read/write operations
Recover
  • Reimage drive
  • Restore firmware baseline
  • Rebuild encrypted volumes
JTAG/UART
RISK LEVEL CRITICAL
TRUST BOUNDARY hardware
ATTACK SURFACE CONTEXT Direct hardware debugging interfaces providing memory and firmware access
INDICATORS OF COMPROMISE
  • Repeated low-level memory access bursts on debug interface
  • Unauthorized firmware readout sequences
  • Device entering unintended debug state
  • Boot ROM access outside manufacturing environment
  • Clock or signal anomalies on debug pins
Why
  • Low-level hardware debugging interface
  • Direct memory and firmware access
How
  • Memory dumping via debug pins
  • Firmware rewriting
  • Secure boot bypass
Prevent
  • Physically disable debug pins
  • Production fuse locking
  • Epoxy or shielding of headers
Detect
  • Debug port activation signals
  • Unexpected firmware read patterns
  • Bootloader anomalies
Respond
  • Immediate hardware isolation
  • Disable debug subsystem
  • Invalidate device trust state
Recover
  • Full firmware reflash
  • Hardware re-attestation
  • Secure boot re-enrollment
Sensor Interfaces
RISK LEVEL HIGH
TRUST BOUNDARY hardware
ATTACK SURFACE CONTEXT Physical-world input layer feeding autonomous perception and decision systems
INDICATORS OF COMPROMISE
  • Sudden divergence between redundant sensor streams
  • Repeated outlier spikes in single sensor channel
  • Time-sync drift between correlated sensors
  • Impossible physical readings (out-of-range values)
  • Unexpected calibration parameter changes
Why
  • Input layer feeding physical-world data
  • Direct influence on autonomous decisions
How
  • Signal spoofing
  • Data injection or manipulation
  • Sensor desynchronization attacks
Prevent
  • Sensor redundancy validation
  • Encrypted sensor pipelines
  • Hardware integrity checks
Detect
  • Inconsistent sensor fusion outputs
  • Outlier signal patterns
  • Timing desynchronization
Respond
  • Switch to redundant sensor stream
  • Isolate compromised sensor
  • Fallback to safe mode
Recover
  • Recalibrate sensor systems
  • Revalidate sensor trust baseline
  • Restore fusion model integrity
Linux Kernel
RISK LEVEL CRITICAL
TRUST BOUNDARY os
ATTACK SURFACE CONTEXT Core operating system execution layer enforcing privilege and memory isolation
INDICATORS OF COMPROMISE
  • Unexpected kernel module insertion
  • Syscall table modification evidence
  • Hidden process or PID anomalies
  • Kernel taint flags without admin action
  • Integrity mismatch in vmlinuz or modules
Why
  • Core OS execution layer controlling entire system
  • Privilege boundary enforcement point
How
  • Kernel exploits and privilege escalation
  • Rootkit injection
  • Module tampering
Prevent
  • Kernel hardening (SELinux/AppArmor)
  • Signed module enforcement
  • Minimal attack surface configuration
Detect
  • Kernel integrity violations
  • Unexpected syscalls
  • Rootkit behavioral signatures
Respond
  • System isolation
  • Kernel panic trigger containment mode
  • Block privileged execution paths
Recover
  • Reboot into trusted kernel
  • Reimage system
  • Restore verified kernel modules
Drivers
RISK LEVEL HIGH
TRUST BOUNDARY os
ATTACK SURFACE CONTEXT Hardware abstraction layer bridging kernel and physical devices
INDICATORS OF COMPROMISE
  • Unexpected driver load without signature validation
  • Kernel crash linked to device I/O patterns
  • DMA access outside assigned memory regions
  • Driver version mismatch with known baseline
  • Unsigned kernel extension attempts
Why
  • Bridge between hardware and OS
  • High privilege execution context
How
  • Driver exploitation via malformed inputs
  • Unsigned driver injection
  • DMA abuse through device drivers
Prevent
  • Signed driver enforcement
  • Driver whitelist policy
  • Memory access restrictions
Detect
  • Driver crash anomalies
  • Unsigned module loading attempts
  • Hardware communication irregularities
Respond
  • Unload compromised driver
  • Isolate hardware interface
  • Disable affected subsystem
Recover
  • Reinstall trusted drivers
  • Revalidate driver signatures
  • Restore hardware bindings
Services
RISK LEVEL MEDIUM
TRUST BOUNDARY os
ATTACK SURFACE CONTEXT Background runtime processes exposed to system and network interaction
INDICATORS OF COMPROMISE
  • Service restart loops without admin action
  • Unexpected listening ports opened
  • Binary hash change in service executable
  • Unrecognized API endpoint invocation patterns
  • Privilege escalation traces in service logs
Why
  • Background processes exposed to network or system inputs
  • Persistent execution surface
How
  • Service hijacking
  • Privilege escalation via misconfigurations
  • Injection into exposed APIs
Prevent
  • Least privilege execution
  • Service isolation
  • Input validation hardening
Detect
  • Unexpected service restarts
  • Anomalous resource usage
  • Unauthorized API calls
Respond
  • Restart or kill service
  • Isolate service container
  • Revoke service credentials
Recover
  • Redeploy clean service instance
  • Restore configuration baseline
  • Audit service dependencies
Containers
RISK LEVEL MEDIUM
TRUST BOUNDARY virtualization
ATTACK SURFACE CONTEXT Isolated execution environments sharing kernel-level resources
INDICATORS OF COMPROMISE
  • Container escape attempt signatures in kernel logs
  • Unexpected root-level access inside container namespace
  • Modified image layer hashes
  • Abnormal syscall patterns (mount, ptrace, nsenter)
  • Unauthorized registry pull events
Why
  • Shared kernel environment with isolation boundaries
  • Common deployment unit in cloud systems
How
  • Container escape exploits
  • Image poisoning
  • Privilege escalation within runtime
Prevent
  • Secure container runtime configuration
  • Image signing and verification
  • Minimal base images
Detect
  • Unexpected syscalls from containers
  • Runtime policy violations
  • Image integrity mismatch
Respond
  • Terminate container instance
  • Quarantine node
  • Rotate credentials
Recover
  • Redeploy from trusted image registry
  • Restore orchestration state
  • Revalidate runtime policies
Local Users
RISK LEVEL MEDIUM
TRUST BOUNDARY human
ATTACK SURFACE CONTEXT Human identity layer providing credential-based system access
INDICATORS OF COMPROMISE
  • Login from new geolocation/device fingerprint
  • Multiple failed authentication bursts
  • Concurrent session reuse anomalies
  • Sudden privilege elevation without workflow trigger
  • Credential use outside expected time window
Why
  • Human-controlled system access layer
  • Credential-based entry point
How
  • Credential theft
  • Privilege escalation
  • Session hijacking
Prevent
  • Multi-factor authentication
  • Least privilege roles
  • Credential rotation
Detect
  • Unusual login patterns
  • Privilege escalation attempts
  • Session anomalies
Respond
  • Force logout sessions
  • Revoke credentials
  • Lock account
Recover
  • Reset credentials
  • Re-establish identity trust
  • Audit access logs
Ethernet
RISK LEVEL HIGH
TRUST BOUNDARY network
ATTACK SURFACE CONTEXT Wired network interface enabling direct system-to-system communication across trusted and untrusted segments
INDICATORS OF COMPROMISE
  • Unexpected ARP cache changes
  • Spikes in broadcast traffic volume
  • Unknown MAC addresses on trusted ports
  • Sudden routing table modifications
  • Repeated packet retransmissions or spoofed responses
Why
  • Primary data transport layer in most systems
  • Bridge between internal and external networks
  • High-volume lateral movement channel
How
  • ARP spoofing and MITM attacks
  • MAC flooding
  • Packet injection or replay
Prevent
  • Network segmentation and VLAN isolation
  • MAC filtering and port security
  • Encrypted transport (TLS/IPsec)
Detect
  • ARP table inconsistencies
  • Unusual traffic flows
  • Duplicate MAC address detection
Respond
  • Isolate affected network segment
  • Block suspicious MAC/IP addresses
  • Reset switch port states
Recover
  • Restore network configuration baseline
  • Revalidate segmentation rules
  • Rotate network credentials and keys
WiFi
RISK LEVEL HIGH
TRUST BOUNDARY network
ATTACK SURFACE CONTEXT Wireless communication interface enabling over-the-air access to system networks
INDICATORS OF COMPROMISE
  • Device connecting to unauthorized access points
  • Repeated disassociation/reassociation cycles
  • RSSI anomalies indicating spoofed AP proximity
  • Unexpected DHCP server responses
  • New MAC addresses joining trusted SSID
Why
  • Remote access without physical connection
  • Shared medium vulnerable to interception
  • Entry point into internal networks
How
  • Evil twin access points
  • Deauthentication attacks
  • Handshake capture and cracking
Prevent
  • WPA3 encryption enforcement
  • Hidden SSIDs and network segmentation
  • Rogue AP detection systems
Detect
  • Unknown SSID proximity
  • Frequent reconnection events
  • Authentication handshake anomalies
Respond
  • Disconnect affected clients
  • Block rogue access points
  • Rotate WiFi credentials
Recover
  • Re-establish trusted network map
  • Reset wireless credentials
  • Revalidate AP integrity
Cellular
RISK LEVEL HIGH
TRUST BOUNDARY network
ATTACK SURFACE CONTEXT Mobile communication interface relying on carrier infrastructure and base station trust
INDICATORS OF COMPROMISE
  • Connection to unknown cell tower identifiers
  • Sudden downgrade from LTE/5G to 2G
  • SIM re-provisioning without user action
  • Unexpected SMS interception delays
  • Repeated network re-registration events
Why
  • Wide-area remote connectivity
  • Dependent on external carrier trust
  • Potential interception via base stations
How
  • IMSI catchers (stingrays)
  • SS7 protocol exploitation
  • SIM swapping attacks
Prevent
  • SIM authentication hardening
  • End-to-end encrypted communications
  • Carrier-level anomaly detection
Detect
  • Unexpected base station handoffs
  • Sudden signal degradation patterns
  • SIM profile changes
Respond
  • Disable cellular interface
  • Revoke SIM credentials
  • Notify carrier security layer
Recover
  • Issue new SIM profile
  • Revalidate device identity with carrier
  • Restore secure communication channel
VPN
RISK LEVEL CRITICAL
TRUST BOUNDARY network
ATTACK SURFACE CONTEXT Encrypted tunneling layer providing secure remote access to internal networks
INDICATORS OF COMPROMISE
  • VPN login from unfamiliar device fingerprint
  • Multiple simultaneous sessions using same identity
  • Unexpected cipher suite downgrade events
  • Abnormal post-authentication traffic spikes
  • Repeated authentication failures followed by success
Why
  • Bypasses perimeter network defenses
  • Concentrates high-privilege traffic
  • Trusted tunnel into internal systems
How
  • Credential theft
  • VPN gateway exploitation
  • Tunnel hijacking or downgrade attacks
Prevent
  • Multi-factor authentication
  • Certificate-based VPN auth
  • Strict endpoint compliance checks
Detect
  • Concurrent sessions from different geographies
  • Unusual traffic volume through tunnel
  • Handshake negotiation anomalies
Respond
  • Terminate active VPN sessions
  • Revoke VPN credentials
  • Block source IP ranges
Recover
  • Rotate VPN certificates
  • Rebuild authentication policies
  • Audit all tunnel activity logs
Cloud APIs
RISK LEVEL CRITICAL
TRUST BOUNDARY external
ATTACK SURFACE CONTEXT Externally exposed service interfaces enabling programmatic access to cloud resources
INDICATORS OF COMPROMISE
  • Spike in API calls outside normal usage baseline
  • Access to restricted endpoints without prior pattern
  • New API keys created unexpectedly
  • Data exfiltration via bulk API responses
  • Cross-region API access anomalies
Why
  • Direct control over cloud infrastructure
  • High-value data access layer
  • Automation-friendly attack surface
How
  • API key leakage
  • Broken authentication/authorization
  • Request forgery or abuse
Prevent
  • Least-privilege API keys
  • Rate limiting and request validation
  • Signed requests (HMAC/OAuth)
Detect
  • Unusual API call volume
  • Access from unknown IP ranges
  • Privilege escalation via API
Respond
  • Revoke compromised API keys
  • Throttle or disable endpoints
  • Isolate affected cloud project
Recover
  • Rotate all credentials
  • Re-establish IAM policies
  • Audit cloud audit logs
AI Models
RISK LEVEL CRITICAL
TRUST BOUNDARY compute
ATTACK SURFACE CONTEXT Machine learning inference and training systems exposed to adversarial inputs and data manipulation
INDICATORS OF COMPROMISE
  • Sudden drift in model prediction confidence
  • Repeated edge-case triggering inputs
  • Unexplained bias shift in outputs
  • Query patterns resembling model extraction attempts
  • Out-of-distribution input spikes
Why
  • Decision-making layer in autonomous systems
  • Data-driven control surface
  • Vulnerable to adversarial manipulation
How
  • Adversarial input attacks
  • Data poisoning
  • Model extraction or inversion
Prevent
  • Input sanitization and filtering
  • Robust training pipelines
  • Model watermarking
Detect
  • Confidence score anomalies
  • Distribution shift detection
  • Unexpected inference outputs
Respond
  • Disable model endpoint
  • Fallback to safe baseline model
  • Block malicious input sources
Recover
  • Retrain model on verified dataset
  • Revalidate model integrity
  • Restore approved model checkpoint
ROS2
RISK LEVEL CRITICAL
TRUST BOUNDARY middleware
ATTACK SURFACE CONTEXT Robotics middleware framework enabling distributed communication between robotic components
INDICATORS OF COMPROMISE
  • Unknown ROS nodes appearing in graph
  • Unexpected topic subscription changes
  • Message injection outside expected QoS patterns
  • DDS handshake anomalies
  • Node identity mismatches
Why
  • Core communication layer in robotics systems
  • Controls distributed robotic behavior
  • Message-passing architecture exposure
How
  • Topic spoofing
  • Node injection
  • DDS layer exploitation
Prevent
  • DDS security plugins
  • Node authentication
  • Network segmentation for robotics systems
Detect
  • Unexpected topic publishers
  • Message frequency anomalies
  • Node graph inconsistencies
Respond
  • Kill compromised nodes
  • Reset ROS graph state
  • Isolate robotics network
Recover
  • Rebuild node graph from trusted config
  • Revalidate DDS security policies
  • Restart distributed system cleanly
Middleware
RISK LEVEL HIGH
TRUST BOUNDARY software
ATTACK SURFACE CONTEXT Abstraction layer enabling communication between distributed services and system components
INDICATORS OF COMPROMISE
  • Unexpected message schema changes
  • Unknown service endpoints joining bus
  • Message replay patterns across queues
  • Broker authentication failures
  • Serialization/deserialization exceptions spikes
Why
  • Central message routing layer
  • Cross-service communication dependency
  • High integration exposure
How
  • Message interception
  • Broker exploitation
  • Serialization attacks
Prevent
  • Encrypted messaging channels
  • Strict schema validation
  • Authentication between services
Detect
  • Unexpected message patterns
  • Queue backlog anomalies
  • Schema mismatch errors
Respond
  • Restart middleware layer
  • Block compromised service endpoints
  • Flush message queues
Recover
  • Reinitialize service mesh
  • Restore message schema registry
  • Revalidate service topology
Navigation
RISK LEVEL CRITICAL
TRUST BOUNDARY cyber physical
ATTACK SURFACE CONTEXT Localization and positioning system used for autonomous movement and decision-making
INDICATORS OF COMPROMISE
  • Sudden jumps in estimated position
  • Conflicting GPS vs inertial navigation data
  • Route deviation without command input
  • Repeated satellite signal inconsistencies
  • Map graph inconsistencies or corruption
Why
  • Direct influence on movement and trajectory
  • Core dependency for autonomy
  • Safety-critical decision input
How
  • GPS spoofing
  • Map data poisoning
  • Sensor fusion manipulation
Prevent
  • Multi-source navigation validation
  • Encrypted GNSS augmentation
  • Redundant localization systems
Detect
  • Position drift inconsistencies
  • Impossible velocity readings
  • Map mismatch anomalies
Respond
  • Switch to fallback localization system
  • Enter safe navigation mode
  • Disable external navigation inputs
Recover
  • Recalibrate navigation system
  • Restore trusted map dataset
  • Revalidate positioning pipeline
Mission Software
RISK LEVEL CRITICAL
TRUST BOUNDARY application
ATTACK SURFACE CONTEXT High-level operational logic controlling autonomous mission execution and decision flow
INDICATORS OF COMPROMISE
  • Mission state transitions without trigger events
  • Unauthorized modification of task sequence
  • Execution of deprecated or unsigned mission scripts
  • Repeated rollback or replay of mission states
  • Conflict between planned vs executed actions
Why
  • Defines system behavior and objectives
  • Direct control over mission execution
  • High-level decision authority
How
  • Logic manipulation
  • Command injection
  • State machine corruption
Prevent
  • Signed mission plans
  • Strict execution sandboxing
  • State validation guards
Detect
  • Unexpected mission state transitions
  • Command sequence anomalies
  • Policy violations in execution flow
Respond
  • Abort mission execution
  • Enter safe hold state
  • Revoke mission authority
Recover
  • Reload validated mission plan
  • Rebuild execution state machine
  • Revalidate mission constraints
OTA Updates
RISK LEVEL CRITICAL
TRUST BOUNDARY supply chain
ATTACK SURFACE CONTEXT Remote software update mechanism used to modify system firmware and software in deployed environments
INDICATORS OF COMPROMISE
  • Firmware/software version changes outside scheduled release window
  • Update signature verification failures
  • Unexpected rollback or forced downgrade events
  • Partial update application with inconsistent state
  • Update source mismatch (unrecognized server endpoint)
Why
  • Direct injection point into deployed systems
  • High privilege system modification path
  • Trusted update channel
How
  • Update server compromise
  • Signed update bypass
  • Man-in-the-middle update injection
Prevent
  • Cryptographically signed updates
  • Secure update channels (TLS + pinning)
  • Staged rollout verification
Detect
  • Unexpected update triggers
  • Version rollback anomalies
  • Unsigned update attempts
Respond
  • Block update channel
  • Rollback to last known good version
  • Isolate affected devices
Recover
  • Reinstall verified firmware/software image
  • Re-establish trusted update channel
  • Revalidate update signing chain
Dependencies
RISK LEVEL HIGH
TRUST BOUNDARY supply chain
ATTACK SURFACE CONTEXT Transitive software dependencies, third-party libraries, and external packages that influence build-time and runtime behavior
INDICATORS OF COMPROMISE
  • Unexpected package version installed compared to lockfile
  • New transitive dependency appearing without approval
  • Build artifacts containing unknown or unsigned modules
  • Dependency origin mismatch (registry/domain anomaly)
  • Sudden behavior changes after dependency update
  • CI logs showing unresolved or replaced packages
Why
  • Indirect trust path into core system execution
  • Large and often opaque external code surface
  • Frequent upstream updates introduce risk
  • Hidden transitive dependencies expand attack surface
How
  • Malicious package injection or takeover
  • Dependency confusion attacks
  • Compromised upstream maintainers or repositories
  • Typosquatting in package registries
  • Transitive dependency poisoning
Prevent
  • Dependency pinning with lockfiles
  • Signed artifact and package verification
  • Private registry mirroring
  • Minimal dependency footprint
  • Automated dependency review and policy enforcement
Detect
  • Unexpected dependency graph changes
  • New or modified transitive dependencies
  • Hash mismatches during build verification
  • Unapproved version upgrades in CI logs
Respond
  • Rollback to last known good dependency graph
  • Quarantine build pipeline
  • Block affected package versions
  • Rotate build and signing credentials
Recover
  • Rebuild system from locked dependency manifest
  • Re-verify full dependency tree integrity
  • Restore trusted package registry state
  • Re-run security validation across build artifacts
CI/CD
RISK LEVEL CRITICAL
TRUST BOUNDARY supply chain
ATTACK SURFACE CONTEXT Automated build, test, and deployment pipeline with privileged production access
INDICATORS OF COMPROMISE
  • Unplanned pipeline execution events
  • Modified build scripts without commit traceability
  • Unexpected dependency injection during build
  • New or altered CI runners appearing in logs
  • Secrets appearing in build artifacts or logs
Why
  • Direct path into production systems
  • Automation layer with elevated privileges
  • Centralized software delivery control point
How
  • Pipeline injection
  • Compromised build runners
  • Secret leakage through logs/artifacts
Prevent
  • Isolated build environments
  • Signed commits and artifacts
  • Least privilege pipeline execution
Detect
  • Unexpected pipeline triggers
  • Artifact hash mismatches
  • Unauthorized build configuration changes
Respond
  • Halt pipeline execution immediately
  • Revoke CI/CD credentials
  • Isolate build infrastructure
Recover
  • Rebuild pipeline from trusted state
  • Rotate all CI/CD secrets
  • Revalidate deployment chain integrity
Third-party
RISK LEVEL HIGH
TRUST BOUNDARY external
ATTACK SURFACE CONTEXT External vendors, APIs, and services integrated into internal systems
INDICATORS OF COMPROMISE
  • Sudden schema or response structure changes in external APIs
  • Unexpected authentication failures from trusted vendors
  • Data anomalies originating from third-party systems
  • New endpoints appearing in integration traffic
  • Unauthorized privilege expansion in external service accounts
Why
  • Indirect access to internal systems via trusted integrations
  • Lower security visibility compared to internal assets
How
  • Vendor compromise
  • API abuse via trusted integrations
  • Malicious updates from upstream providers
Prevent
  • Vendor risk assessments
  • Scoped API permissions
  • Continuous integration monitoring
Detect
  • Behavioral changes in external API responses
  • Unexpected data patterns from integrations
  • Latency or reliability anomalies
Respond
  • Disable third-party integration
  • Revoke external tokens
  • Isolate affected data flows
Recover
  • Replace compromised vendor dependency
  • Rebuild integration contracts
  • Revalidate all external trust relationships
Boot Chain
RISK LEVEL CRITICAL
TRUST BOUNDARY firmware
ATTACK SURFACE CONTEXT Early boot execution chain establishing system root-of-trust
INDICATORS OF COMPROMISE
  • Boot signature mismatch during initialization
  • Unexpected bootloader version changes
  • Secure boot state disabled without authorization
  • Boot order modification events
  • Early kernel loading from untrusted sources
Why
  • First execution layer before OS security loads
  • Root of trust for entire system
  • Persistent pre-OS control point
How
  • Bootloader replacement
  • Secure boot bypass
  • Firmware bootkit injection
Prevent
  • Secure Boot enforcement
  • Hardware root of trust (TPM)
  • Signed boot chain validation
Detect
  • Boot sequence deviations
  • TPM attestation failures
  • Unexpected bootloader behavior
Respond
  • Halt boot process
  • Enter recovery mode
  • Invalidate boot trust state
Recover
  • Reflash trusted bootloader
  • Restore verified boot chain
  • Re-enroll system attestation keys
Firmware
RISK LEVEL CRITICAL
TRUST BOUNDARY hardware
ATTACK SURFACE CONTEXT Persistent low-level hardware control layer below operating system
INDICATORS OF COMPROMISE
  • Firmware version drift without update event
  • Checksum mismatch in hardware validation stage
  • Device behavior changes pre-OS boot
  • Unexpected firmware re-flash activity
  • Hardware reporting inconsistent identity values
Why
  • Survives OS reinstall and system resets
  • Direct hardware control access
  • High persistence attack vector
How
  • Firmware rootkits
  • Unsigned firmware updates
  • Hardware interface abuse
Prevent
  • Signed firmware enforcement
  • Write-protected firmware regions
  • Secure update channels
Detect
  • Firmware checksum mismatches
  • Unexpected hardware behavior at boot
  • Integrity validation failures
Respond
  • Disable affected hardware component
  • Block firmware execution
  • Force recovery mode
Recover
  • Reflash trusted firmware image
  • Revalidate hardware identity
  • Restore baseline firmware state
Secrets
RISK LEVEL CRITICAL
TRUST BOUNDARY identity
ATTACK SURFACE CONTEXT Sensitive credentials, keys, and tokens enabling authentication and system access
INDICATORS OF COMPROMISE
  • Secrets accessed outside expected service context
  • Unusual token usage from new geographic regions
  • Burst authentication attempts across multiple accounts
  • Credential reuse across unrelated systems
  • Unexpected secret retrieval from CI/CD or runtime logs
Why
  • Direct access to authentication systems
  • Privilege escalation across all layers
  • High-value credential targets
How
  • Credential dumping
  • Memory scraping
  • CI/CD leakage
Prevent
  • Secrets vault usage
  • Short-lived credentials
  • Hardware-backed key storage
Detect
  • Unexpected credential usage patterns
  • Token reuse anomalies
  • Unauthorized authentication attempts
Respond
  • Rotate all secrets immediately
  • Revoke active sessions
  • Invalidate compromised keys
Recover
  • Reissue credentials
  • Rebuild secrets storage system
  • Audit authentication pathways
Time Sync
RISK LEVEL MEDIUM
TRUST BOUNDARY system
ATTACK SURFACE CONTEXT System time synchronization layer used for coordination and authentication validity
INDICATORS OF COMPROMISE
  • Sudden system clock jumps forward or backward
  • Mismatch between local and external time sources
  • Authentication token validity anomalies
  • Timestamp inconsistencies across distributed logs
  • NTP server source switching without configuration change
Why
  • Core dependency for distributed systems
  • Impacts logs, authentication, and scheduling
  • Subtle manipulation can break trust assumptions
How
  • NTP spoofing
  • Clock drift manipulation
  • Time desynchronization attacks
Prevent
  • Authenticated time sources
  • Multiple time source validation
  • Hardware RTC verification
Detect
  • Time drift anomalies
  • Cross-node timestamp inconsistencies
  • Log ordering anomalies
Respond
  • Switch to backup time source
  • Freeze time-dependent operations
  • Resynchronize system clocks
Recover
  • Re-establish trusted time synchronization
  • Revalidate system logs
  • Restore temporal consistency
Identity
RISK LEVEL CRITICAL
TRUST BOUNDARY identity
ATTACK SURFACE CONTEXT Authentication and authorization system controlling access to all resources
INDICATORS OF COMPROMISE
  • Logins from previously unseen devices
  • Concurrent sessions from geographically distant locations
  • Unexpected privilege elevation events
  • Repeated authentication failures followed by success
  • Session token reuse outside normal lifespan
Why
  • Core system trust layer
  • Controls all access permissions
  • High-value lateral movement target
How
  • Token theft
  • Identity spoofing
  • Privilege escalation via IAM flaws
Prevent
  • Multi-factor authentication
  • Zero-trust identity model
  • Hardware-backed identity keys
Detect
  • Suspicious login patterns
  • Concurrent session anomalies
  • Privilege escalation attempts
Respond
  • Revoke identity sessions
  • Lock affected accounts
  • Reset authentication state
Recover
  • Reissue identity credentials
  • Revalidate user/device trust
  • Audit access history
Telemetry
RISK LEVEL MEDIUM
TRUST BOUNDARY observability
ATTACK SURFACE CONTEXT Monitoring and logging system providing visibility into runtime behavior
INDICATORS OF COMPROMISE
  • Sudden gaps in logging coverage
  • Repeated identical telemetry entries
  • Out-of-order event sequences
  • Missing logs during high-activity periods
  • Unexpected changes in log source identity
Why
  • Controls system observability and detection
  • Used for security decisions and audits
  • Can be manipulated to hide attacks
How
  • Log poisoning
  • Telemetry spoofing
  • Data injection
Prevent
  • Signed telemetry streams
  • Encrypted logging channels
  • Source authentication
Detect
  • Missing or duplicated logs
  • Telemetry inconsistencies
  • Gaps in event streams
Respond
  • Isolate telemetry pipeline
  • Switch to backup logging system
  • Disable compromised collectors
Recover
  • Rebuild telemetry infrastructure
  • Revalidate log integrity
  • Restore observability baseline
Safety Systems
RISK LEVEL CRITICAL
TRUST BOUNDARY safety
ATTACK SURFACE CONTEXT Independent safety enforcement layer ensuring fail-safe system behavior
INDICATORS OF COMPROMISE
  • Safety system disengagement without authorized trigger
  • Unexpected override of emergency stop conditions
  • Mismatch between safety sensors and actuator state
  • Repeated suppression of safety alerts
  • Unauthorized configuration changes in safety controller
Why
  • Final control layer preventing physical harm
  • Overrides operational systems in emergencies
  • Critical fail-safe mechanism
How
  • Safety override bypass
  • Sensor deception
  • Logic manipulation of safety rules
Prevent
  • Hardware-enforced safety constraints
  • Independent safety compute domain
  • Fail-safe default states
Detect
  • Unexpected safety overrides
  • Sensor disagreement with safety triggers
  • Disabled safety interlocks
Respond
  • Force system safe mode
  • Trigger emergency shutdown
  • Isolate control systems
Recover
  • Revalidate safety logic
  • Restore safety firmware baseline
  • Re-certify system safety state
Vehicle Networks
RISK LEVEL CRITICAL
TRUST BOUNDARY cyber physical
ATTACK SURFACE CONTEXT In-vehicle communication networks controlling motion and physical behavior
INDICATORS OF COMPROMISE
  • Unauthorized CAN message injection events
  • Unexpected actuator commands from unknown nodes
  • Bus traffic spikes outside normal driving patterns
  • Conflicting control signals for same subsystem
  • Loss of message timing determinism
Why
  • Direct control over physical actuation
  • Safety-critical communication layer
  • Real-time system dependency
How
  • CAN bus injection
  • Message spoofing
  • Network arbitration abuse
Prevent
  • Message authentication
  • Network segmentation
  • Encrypted vehicular communication
Detect
  • Unexpected CAN messages
  • Timing anomalies
  • Message ID conflicts
Respond
  • Isolate vehicle network segment
  • Disable affected actuators
  • Enter safe mode
Recover
  • Restore trusted network topology
  • Reinitialize control bus
  • Validate actuator integrity
Remote Access
RISK LEVEL CRITICAL
TRUST BOUNDARY external
ATTACK SURFACE CONTEXT External administrative access path into internal systems and control layers
INDICATORS OF COMPROMISE
  • Remote logins from unknown devices or IP ranges
  • Repeated authentication failures followed by success
  • Unexpected administrative session creation
  • Access outside approved maintenance windows
  • Simultaneous logins from distant geographic regions
Why
  • Direct external control entry point
  • High privilege system access
  • Common initial intrusion vector
How
  • Credential compromise
  • Session hijacking
  • Exposed management interfaces
Prevent
  • Zero-trust access model
  • MFA enforcement
  • Network segmentation and allowlisting
Detect
  • Unusual login patterns
  • Geo-location anomalies
  • Concurrent session mismatches
Respond
  • Terminate remote sessions
  • Revoke access credentials
  • Block source IP ranges
Recover
  • Rotate all remote credentials
  • Rebuild access control policies
  • Audit remote access logs
Hypervisors
RISK LEVEL CRITICAL
TRUST BOUNDARY virtualization
ATTACK SURFACE CONTEXT Hardware abstraction layer enabling multiple isolated operating systems on shared physical infrastructure
INDICATORS OF COMPROMISE
  • Unauthorized VM escape behavior patterns
  • Host-level processes originating from guest VM context
  • Hypervisor crash or reset anomalies
  • Unexpected access to physical memory regions
Why
  • Enables cross-VM escape into host systems
  • Controls isolation between critical workloads
  • High privilege execution beneath OS layer
How
  • Hypervisor escape vulnerabilities
  • VM introspection abuse
  • Device passthrough exploitation
Prevent
  • Hardware-assisted virtualization enforcement
  • Minimal hypervisor attack surface
  • Strict device isolation policies
Detect
  • Cross-VM memory access anomalies
  • Hypervisor integrity violations
  • Unexpected privileged instruction calls
Respond
  • Isolate affected host node
  • Suspend all guest VMs
  • Trigger hypervisor lockdown mode
Recover
  • Reinstall verified hypervisor image
  • Restore VM snapshots from trusted state
  • Revalidate hardware virtualization integrity
Virtualization Layer
RISK LEVEL CRITICAL
TRUST BOUNDARY virtualization
ATTACK SURFACE CONTEXT Abstraction layer managing virtual machines, resource allocation, and isolation policies
INDICATORS OF COMPROMISE
  • VM boundary bypass attempts
  • Unexpected shared memory access
  • Unauthorized VM-to-VM communication
  • Orchestrator state inconsistency
Why
  • Controls isolation boundaries between workloads
  • Central point of multi-tenant execution security
How
  • VM escape chains
  • Resource exhaustion attacks
  • Misconfiguration of isolation boundaries
Prevent
  • Strict resource isolation enforcement
  • Immutable VM templates
  • Policy-based execution control
Detect
  • Unusual inter-VM communication
  • Resource contention spikes
  • Policy violations in orchestration logs
Respond
  • Quarantine affected virtual machines
  • Freeze orchestration layer
  • Invalidate compromised workloads
Recover
  • Rebuild virtualization environment
  • Redeploy clean VM images
  • Revalidate isolation policies
Runtime Sandboxes
RISK LEVEL HIGH
TRUST BOUNDARY os
ATTACK SURFACE CONTEXT Isolated execution environments restricting application-level permissions and system access
INDICATORS OF COMPROMISE
  • Code executing outside sandbox boundary
  • File system access beyond allowed scope
  • Network access violations from isolated process
Why
  • Controls execution of untrusted code
  • Limits privilege escalation paths
How
  • Sandbox escape exploits
  • Policy bypass via interpreter flaws
  • Memory corruption attacks
Prevent
  • Strict syscall filtering
  • Least-privilege sandbox profiles
  • Code signing enforcement
Detect
  • Unexpected syscall patterns
  • Sandbox policy violations
  • Privilege escalation attempts
Respond
  • Terminate sandbox instance
  • Revoke execution permissions
  • Isolate affected host process
Recover
  • Redeploy sandbox with hardened policies
  • Revalidate execution constraints
  • Audit all sandbox escapes
Artifact Registry
RISK LEVEL CRITICAL
TRUST BOUNDARY supply chain
ATTACK SURFACE CONTEXT Central repository storing build artifacts, container images, and deployable binaries
INDICATORS OF COMPROMISE
  • Modified production artifact without CI approval
  • Hash mismatch between build and registry
  • Unexpected container image pull source
Why
  • Direct injection point into production deployments
  • Trusted source for runtime components
How
  • Artifact poisoning
  • Unsigned image injection
  • Registry credential compromise
Prevent
  • Artifact signing enforcement
  • Immutable registry storage
  • Strict access control policies
Detect
  • Unexpected artifact version changes
  • Unsigned or unknown artifacts uploaded
  • Registry access anomalies
Respond
  • Revoke registry access tokens
  • Remove compromised artifacts
  • Halt deployment pipeline
Recover
  • Restore from verified artifact backups
  • Rebuild registry index from clean CI pipeline
  • Revalidate all deployment artifacts
Package Registry
RISK LEVEL CRITICAL
TRUST BOUNDARY supply chain
ATTACK SURFACE CONTEXT External or internal package distribution system for dependencies and libraries
INDICATORS OF COMPROMISE
  • Unexpected package pulled during build
  • Modified dependency without version bump
  • New transitive dependency introduced silently
Why
  • Indirect injection into software builds
  • Mass propagation through dependency trees
How
  • Typosquatting packages
  • Dependency confusion attacks
  • Compromised maintainer accounts
Prevent
  • Package verification and signing
  • Private mirrored registries
  • Strict dependency allowlisting
Detect
  • Unexpected dependency resolution changes
  • New upstream maintainers or versions
  • Checksum mismatches
Respond
  • Rollback dependency graph
  • Block malicious package versions
  • Rotate build credentials
Recover
  • Rebuild from locked dependency manifest
  • Revalidate full dependency tree
  • Restore trusted registry state
Deployment Orchestration Systems
RISK LEVEL CRITICAL
TRUST BOUNDARY control plane
ATTACK SURFACE CONTEXT Systems responsible for deploying, scaling, and managing runtime services across infrastructure
INDICATORS OF COMPROMISE
  • Unauthorized rollout of new version
  • Unexpected service restart patterns
  • Deployment initiated outside CI/CD system
Why
  • Direct control over production rollout state
  • Can modify entire fleet deployment behavior
How
  • Pipeline injection
  • Orchestrator API compromise
  • Unauthorized deployment scripts
Prevent
  • Strict RBAC for deployment actions
  • Signed deployment manifests
  • Approval-based release workflows
Detect
  • Unexpected deployment triggers
  • Unauthorized scaling or rollback actions
  • Configuration drift in cluster state
Respond
  • Halt all deployments
  • Revoke orchestrator credentials
  • Freeze cluster state
Recover
  • Restore known-good deployment state
  • Rebuild orchestration control plane
  • Revalidate cluster configuration integrity
Fleet Management System
RISK LEVEL CRITICAL
TRUST BOUNDARY control plane
ATTACK SURFACE CONTEXT System responsible for managing multiple autonomous assets, deployments, health, and operational state across a fleet
INDICATORS OF COMPROMISE
  • New device added without provisioning workflow
  • Simultaneous configuration changes across multiple assets
  • Unauthorized mission dispatch commands
  • Fleet health reports inconsistent with telemetry
Why
  • Central control point for multiple autonomous units
  • High-impact scaling of compromise across fleet
  • Operational command dependency
How
  • API credential compromise
  • Fleet command injection
  • Unauthorized asset enrollment
Prevent
  • Zero-trust fleet enrollment
  • Strong mutual authentication between assets and control plane
  • Strict RBAC for fleet operations
Detect
  • Unexpected fleet-wide command execution
  • Unauthorized asset registration
  • Anomalous fleet state changes
Respond
  • Isolate fleet control plane
  • Freeze asset commands
  • Revoke fleet credentials
Recover
  • Restore fleet state from known-good snapshot
  • Re-enroll assets with verified identity
  • Rebuild control plane access policies
Command and Control (C2) Layer
RISK LEVEL CRITICAL
TRUST BOUNDARY external
ATTACK SURFACE CONTEXT High-level command channel responsible for issuing operational directives to autonomous systems
INDICATORS OF COMPROMISE
  • Commands issued outside authorized control endpoints
  • Repeated mission instructions with identical payload hashes
  • Unauthorized override of autonomous behavior modes
Why
  • Direct operational control over autonomous behavior
  • Bypasses local decision safeguards if compromised
  • Centralized execution authority
How
  • Session hijacking of command channels
  • Encrypted channel impersonation
  • Replay attacks on command streams
Prevent
  • Mutual authentication for all command channels
  • Command signing with non-repudiation
  • Strict command schema validation
Detect
  • Unexpected command patterns
  • Duplicate or replayed instructions
  • Latency anomalies in command streams
Respond
  • Halt all incoming command streams
  • Switch systems to autonomous safe mode
  • Revoke command channel credentials
Recover
  • Re-establish secure command channel
  • Revalidate command authority hierarchy
  • Replay only verified mission instructions
Authentication Service (AuthN)
RISK LEVEL CRITICAL
TRUST BOUNDARY identity
ATTACK SURFACE CONTEXT System responsible for verifying identities before granting system access
INDICATORS OF COMPROMISE
  • Successful authentication from impossible travel locations
  • Multiple identities using same session token
  • Authentication bypass without credential validation
  • Sudden spike in token issuance
Why
  • Gatekeeper for all system access
  • Compromise enables lateral movement across all services
How
  • Credential stuffing attacks
  • Token forgery or theft
  • Authentication bypass vulnerabilities
Prevent
  • Multi-factor authentication enforcement
  • Hardware-backed identity verification
  • Rate limiting and anomaly detection
Detect
  • Unusual login attempts
  • Geographically inconsistent authentication
  • High-frequency failed authentication attempts
Respond
  • Invalidate all active sessions
  • Force credential resets
  • Lock authentication service
Recover
  • Rebuild authentication service from trusted configuration
  • Reissue identity credentials
  • Audit all authentication logs
Authorization Policy Engine (AuthZ / RBAC / ABAC)
RISK LEVEL CRITICAL
TRUST BOUNDARY identity
ATTACK SURFACE CONTEXT System enforcing access control policies determining what authenticated users or systems are allowed to do
INDICATORS OF COMPROMISE
  • User or service gaining access to restricted resources
  • Policy changes without audit approval
  • Privilege inheritance anomalies
  • Abnormal access to high-value systems
Why
  • Controls privilege boundaries across system
  • Policy manipulation leads to privilege escalation
How
  • Policy injection or override
  • Misconfigured role escalation
  • Logic flaws in access evaluation
Prevent
  • Immutable policy definitions
  • Separation of duties in policy management
  • Policy version control and review
Detect
  • Unexpected privilege escalation patterns
  • Policy drift from baseline state
  • Unauthorized role assignment events
Respond
  • Revert policy engine to last known good state
  • Revoke elevated privileges
  • Freeze policy updates
Recover
  • Rebuild policy engine configuration
  • Revalidate RBAC/ABAC ruleset
  • Audit all access decisions
Session Management Layer
RISK LEVEL HIGH
TRUST BOUNDARY identity
ATTACK SURFACE CONTEXT System managing active authentication sessions and token lifecycle
INDICATORS OF COMPROMISE
  • Active session without corresponding login event
  • Session token used across multiple IP ranges
  • Expired session still granting access
  • Duplicate session identifiers
Why
  • Maintains active trust state for users and systems
  • Session hijacking enables persistent access
How
  • Session token theft
  • Replay attacks
  • Session fixation vulnerabilities
Prevent
  • Short-lived session tokens
  • Device-bound session tokens
  • Secure cookie enforcement
Detect
  • Simultaneous session usage from different locations
  • Unusual session duration or reuse
  • Token reuse after logout
Respond
  • Terminate all active sessions
  • Invalidate session store
  • Force re-authentication
Recover
  • Rebuild session store
  • Rotate signing keys
  • Re-establish session integrity policies
Certificate Authority / PKI
RISK LEVEL CRITICAL
TRUST BOUNDARY identity
ATTACK SURFACE CONTEXT Root trust infrastructure responsible for issuing, validating, and revoking cryptographic identities across systems
INDICATORS OF COMPROMISE
  • Certificates issued outside approval workflow
  • Unknown intermediate CA appearing in trust chain
  • Unexpected TLS trust acceptance events
  • Certificate transparency log anomalies
Why
  • Single point of trust for all authentication
  • Compromise breaks entire trust chain
  • Enables impersonation of any system or service
How
  • CA private key compromise
  • Certificate issuance abuse
  • Improper certificate revocation handling
Prevent
  • Hardware security modules (HSMs)
  • Strict CA separation (root vs intermediate)
  • Offline root CA storage
Detect
  • Unexpected certificate issuance
  • Invalid or duplicate certificate chains
  • Revocation anomalies
Respond
  • Revoke compromised certificates
  • Rotate CA keys immediately
  • Freeze issuance pipeline
Recover
  • Rebuild trust hierarchy
  • Re-issue all system certificates
  • Re-establish secure root CA environment
Databases
RISK LEVEL CRITICAL
TRUST BOUNDARY data plane
ATTACK SURFACE CONTEXT Persistent structured data stores containing system state, credentials, and operational intelligence
INDICATORS OF COMPROMISE
  • Unauthorized bulk data extraction
  • Unexpected schema modifications
  • Tampered audit logs
  • Database replication inconsistencies
Why
  • Central repository of system truth
  • High-value target for data exfiltration
  • Can alter system behavior through state manipulation
How
  • SQL/NoSQL injection
  • Credential compromise
  • Direct storage tampering
Prevent
  • Strong access control policies
  • Encryption at rest and in transit
  • Input validation and query sanitization
Detect
  • Unusual query patterns
  • Mass data export events
  • Schema or integrity violations
Respond
  • Isolate database cluster
  • Revoke database credentials
  • Enable read-only emergency mode
Recover
  • Restore from verified backups
  • Rebuild replication clusters
  • Revalidate data integrity
State Stores
RISK LEVEL HIGH
TRUST BOUNDARY data plane
ATTACK SURFACE CONTEXT Low-latency shared state systems used for coordination between distributed services
INDICATORS OF COMPROMISE
  • Conflicting state values across replicas
  • Unexpected reset of critical runtime flags
  • Unauthorized writes to control keys
Why
  • Controls real-time system coordination
  • Can alter distributed system behavior instantly
How
  • State poisoning
  • Unauthorized key overwrites
  • Race-condition exploitation
Prevent
  • Strict key namespace isolation
  • Write authentication policies
  • Atomic update enforcement
Detect
  • Unexpected state transitions
  • High-frequency overwrite patterns
  • State divergence across nodes
Respond
  • Freeze state store writes
  • Roll back to last consistent snapshot
  • Isolate affected service cluster
Recover
  • Rebuild state from authoritative source
  • Re-sync distributed nodes
  • Validate consistency guarantees
Message Queues
RISK LEVEL HIGH
TRUST BOUNDARY data plane
ATTACK SURFACE CONTEXT Asynchronous communication backbone between system components and services
INDICATORS OF COMPROMISE
  • Duplicate or replayed messages in queue
  • Messages from unauthorized producers
  • Sudden spike in control-topic traffic
Why
  • Controls inter-service communication flow
  • Can inject or reorder system-critical messages
How
  • Message injection
  • Queue poisoning
  • Replay and ordering attacks
Prevent
  • Authenticated message producers
  • Encrypted queue channels
  • Strict topic authorization
Detect
  • Unexpected message bursts
  • Invalid message schema entries
  • Out-of-order critical commands
Respond
  • Drain and isolate affected queues
  • Revoke producer credentials
  • Pause downstream consumers
Recover
  • Rebuild queue state
  • Replay only verified message logs
  • Re-establish producer trust
Caches
RISK LEVEL MEDIUM
TRUST BOUNDARY data plane
ATTACK SURFACE CONTEXT High-speed memory layer used for performance optimization across system components
INDICATORS OF COMPROMISE
  • Incorrect data served from cache layer
  • Unexpected cache warming events
  • High divergence between cache and source systems
Why
  • Indirect influence on system decisions via stale or poisoned data
  • Can bypass primary data validation layers
How
  • Cache poisoning
  • Key collision exploitation
  • Stale data manipulation
Prevent
  • Cache validation and expiration policies
  • Strict key scoping
  • Signed cache entries
Detect
  • Cache miss/hit anomalies
  • Unexpected cache key patterns
  • Inconsistent cached vs source data
Respond
  • Flush cache layers
  • Disable caching temporarily
  • Revalidate upstream data sources
Recover
  • Rebuild cache from trusted sources
  • Re-establish caching policies
  • Verify cache consistency
Sensor Fusion Engine
RISK LEVEL CRITICAL
TRUST BOUNDARY perception
ATTACK SURFACE CONTEXT System combining multiple sensor inputs into unified environmental understanding
INDICATORS OF COMPROMISE
  • Sudden shift in environmental interpretation
  • Single sensor dominating fusion unexpectedly
  • Impossible physical state estimation
Why
  • Direct influence on system perception of reality
  • Errors propagate into all downstream decisions
How
  • Sensor spoof injection
  • Data weighting manipulation
  • Temporal desynchronization attacks
Prevent
  • Redundant sensor validation
  • Secure sensor pipelines
  • Outlier rejection algorithms
Detect
  • Inconsistent fused outputs
  • Sensor disagreement anomalies
  • Timing misalignment across inputs
Respond
  • Switch to redundant fusion model
  • Isolate compromised sensor inputs
  • Fallback to safe perception mode
Recover
  • Recalibrate fusion parameters
  • Revalidate sensor trust weights
  • Restore baseline perception model
Perception Stack
RISK LEVEL CRITICAL
TRUST BOUNDARY perception
ATTACK SURFACE CONTEXT Computer vision and perception processing layer interpreting raw sensor data into semantic understanding
INDICATORS OF COMPROMISE
  • Misclassification of critical objects
  • Sudden drop in model confidence stability
  • Conflicting perception outputs across frames
Why
  • Direct influence on object detection and scene understanding
  • Can mislead downstream navigation and planning systems
How
  • Adversarial input injection
  • Model poisoning
  • Data pipeline manipulation
Prevent
  • Model validation pipelines
  • Adversarial robustness training
  • Input sanitization layers
Detect
  • Unexpected classification shifts
  • Confidence score anomalies
  • Visual inconsistency detection
Respond
  • Switch to backup perception model
  • Disable affected inference pipeline
  • Enter safety fallback mode
Recover
  • Revalidate model weights
  • Retrain with clean dataset
  • Restore verified inference pipeline
Localization Engine (SLAM)
RISK LEVEL CRITICAL
TRUST BOUNDARY perception
ATTACK SURFACE CONTEXT System responsible for estimating position and environment mapping simultaneously
INDICATORS OF COMPROMISE
  • Impossible movement trajectories
  • Map-object misalignment
  • Sudden localization jumps
Why
  • Direct impact on system spatial awareness
  • Errors propagate into navigation and actuation
How
  • Map manipulation attacks
  • Sensor spoofing for positional drift
  • Feature extraction poisoning
Prevent
  • Multi-source localization validation
  • Map integrity verification
  • Secure sensor fusion inputs
Detect
  • Position drift anomalies
  • Map inconsistency detection
  • Localization confidence degradation
Respond
  • Switch to fallback positioning system
  • Freeze navigation decisions
  • Isolate corrupted map data
Recover
  • Rebuild map from trusted dataset
  • Recalibrate localization parameters
  • Re-sync sensor fusion inputs
Geospatial Data Providers
RISK LEVEL HIGH
TRUST BOUNDARY external
ATTACK SURFACE CONTEXT External providers supplying geospatial datasets used for navigation and environmental understanding
INDICATORS OF COMPROMISE
  • Mismatch between local and external map data
  • Sudden route deviation without sensor justification
  • Invalid geospatial coordinate structures
Why
  • External dependency influencing system behavior
  • Indirect control over navigation decisions
How
  • Data poisoning in upstream feeds
  • API response manipulation
  • Compromised provider infrastructure
Prevent
  • Multi-provider cross-validation
  • Signed geospatial datasets
  • Fallback offline maps
Detect
  • Map inconsistency across providers
  • Unexpected coordinate shifts
  • API response anomalies
Respond
  • Disable external geospatial source
  • Switch to cached map data
  • Isolate affected navigation subsystem
Recover
  • Revalidate external provider integrity
  • Restore trusted map baseline
  • Re-sync geospatial datasets
Mapping Services (HD Maps)
RISK LEVEL CRITICAL
TRUST BOUNDARY perception
ATTACK SURFACE CONTEXT High-definition mapping layer providing precise structural and environmental layout data
INDICATORS OF COMPROMISE
  • Road geometry mismatch with sensor reality
  • Missing or fabricated infrastructure elements
  • Unexpected map version rollback
Why
  • Direct influence on path planning and navigation accuracy
  • Critical dependency for autonomous decision-making
How
  • Map tampering
  • Version rollback attacks
  • Injected false structural data
Prevent
  • Signed HD map updates
  • Immutable map versioning
  • Strict map validation pipeline
Detect
  • Route inconsistency detection
  • Map-object mismatch anomalies
  • Unexpected topology changes
Respond
  • Switch to backup map layer
  • Freeze navigation updates
  • Isolate map ingestion pipeline
Recover
  • Restore verified HD map version
  • Rebuild map ingestion system
  • Validate map integrity against ground truth
Weather and Environmental Data Feeds
RISK LEVEL HIGH
TRUST BOUNDARY external
ATTACK SURFACE CONTEXT External real-time environmental data influencing system behavior and planning decisions
INDICATORS OF COMPROMISE
  • Impossible weather conditions reported
  • Conflicting environmental data across providers
  • Sudden weather state inversion
Why
  • Indirect control over operational decisions
  • Used for safety and mission planning adjustments
How
  • Data feed manipulation
  • API spoofing
  • Forecast injection attacks
Prevent
  • Multi-source weather validation
  • Signed environmental data feeds
  • Fallback local sensors
Detect
  • Weather data inconsistencies
  • Sudden environmental shifts
  • Forecast-sensor mismatch
Respond
  • Disable external weather feeds
  • Switch to local sensor inputs
  • Enter conservative safety mode
Recover
  • Revalidate trusted weather providers
  • Restore environmental data pipeline
  • Re-sync system environmental model
GNSS Augmentation and RTK Services
RISK LEVEL CRITICAL
TRUST BOUNDARY external
ATTACK SURFACE CONTEXT High-precision positioning enhancement services used to improve GNSS accuracy
INDICATORS OF COMPROMISE
  • Sudden positional jumps
  • Invalid correction data streams
  • GNSS spoofing detection triggers
Why
  • Direct influence on positional accuracy
  • Critical dependency for navigation precision
How
  • Signal spoofing
  • RTK correction injection
  • Timing manipulation attacks
Prevent
  • Multi-source GNSS validation
  • Encrypted RTK streams
  • Signal anomaly detection
Detect
  • Position drift inconsistencies
  • RTK correction anomalies
  • Satellite signal mismatch
Respond
  • Disable RTK corrections
  • Switch to inertial navigation fallback
  • Isolate GNSS pipeline
Recover
  • Recalibrate positioning system
  • Revalidate GNSS sources
  • Restore trusted navigation state
Actuation Systems
RISK LEVEL CRITICAL
TRUST BOUNDARY cyber physical
ATTACK SURFACE CONTEXT Physical execution layer translating digital commands into real-world mechanical actions
INDICATORS OF COMPROMISE
  • Actuators responding without authorized command source
  • Motion or output inconsistent with mission plan
  • Sudden override of safety limits
  • Unexplained actuator state changes
Why
  • Direct control over physical system behavior
  • Final execution point of all upstream decisions
  • Bypass of higher-level software safety checks possible
How
  • Command injection into control channels
  • Signal spoofing from upstream control systems
  • Feedback loop manipulation
Prevent
  • Hardware-enforced safety constraints
  • Signed actuation commands
  • Independent safety interlocks
Detect
  • Unexpected actuator response patterns
  • Command-response timing anomalies
  • Disagreement between planned vs executed state
Respond
  • Engage emergency stop mode
  • Freeze all actuator outputs
  • Isolate control bus
Recover
  • Reset actuator control firmware
  • Revalidate control authority chain
  • Recalibrate physical actuation limits
Motors and Control Actuators
RISK LEVEL CRITICAL
TRUST BOUNDARY cyber physical
ATTACK SURFACE CONTEXT Low-level electromechanical components responsible for motion and force generation
INDICATORS OF COMPROMISE
  • Motor output inconsistent with input commands
  • Unexplained continuous actuation
  • Thermal or power anomalies indicating misuse
  • Bypass of control loop constraints
Why
  • Direct influence on movement and physical force
  • Bypass layer between software intent and physical execution
How
  • PWM signal manipulation
  • Control loop interference
  • Firmware-level actuator override
Prevent
  • Isolated motor control controllers
  • Signed firmware for motor drivers
  • Physical safety limits enforced in hardware
Detect
  • Unexpected torque or velocity output
  • Control signal deviations
  • Feedback loop instability
Respond
  • Cut power to motor subsystem
  • Switch to fail-safe braking mode
  • Isolate actuator control interface
Recover
  • Reinitialize motor control firmware
  • Recalibrate actuator response curves
  • Restore safety-limited control mode
Fleet Coordination Layer
RISK LEVEL CRITICAL
TRUST BOUNDARY control plane
ATTACK SURFACE CONTEXT System coordinating distributed behavior across multiple autonomous agents in real time
INDICATORS OF COMPROMISE
  • Multiple agents executing conflicting commands
  • Loss of coordination consistency across fleet
  • Unauthorized synchronization overrides
  • Cross-agent command replication anomalies
Why
  • Enables synchronized multi-agent operations
  • Compromise scales across entire fleet behavior
  • Controls coordination logic between systems
How
  • Coordination message injection
  • Synchronization disruption attacks
  • Command hierarchy manipulation
Prevent
  • Authenticated inter-agent communication
  • Consensus-based coordination validation
  • Strict role-based command hierarchy
Detect
  • Fleet desynchronization events
  • Conflicting coordination directives
  • Unexpected multi-agent behavior divergence
Respond
  • Freeze fleet coordination layer
  • Isolate affected agents
  • Switch to independent safe-mode execution
Recover
  • Rebuild coordination graph
  • Re-establish trusted synchronization protocol
  • Revalidate agent identity bindings
Mission Planning System
RISK LEVEL CRITICAL
TRUST BOUNDARY control plane
ATTACK SURFACE CONTEXT High-level system responsible for generating operational plans, trajectories, and objectives
INDICATORS OF COMPROMISE
  • Mission objectives altered without approval
  • Path planning inconsistent with constraints
  • Unauthorized recalculation of mission state
  • Duplicate or conflicting mission plans
Why
  • Defines system intent and behavior
  • Direct influence on all downstream execution logic
  • Compromise alters mission objectives
How
  • Plan injection or modification
  • Trajectory manipulation
  • Constraint bypass attacks
Prevent
  • Signed mission plans
  • Multi-stage approval pipelines
  • Constraint validation engines
Detect
  • Unexpected mission plan changes
  • Deviation from expected planning outputs
  • Unauthorized plan generation events
Respond
  • Halt mission execution
  • Rollback to last verified mission plan
  • Lock mission planning subsystem
Recover
  • Rebuild mission planning environment
  • Revalidate planning algorithms
  • Restore trusted mission templates
Data Pipeline Processing Layer
RISK LEVEL HIGH
TRUST BOUNDARY data plane
ATTACK SURFACE CONTEXT System responsible for ingesting, transforming, and distributing data across all autonomous system components
INDICATORS OF COMPROMISE
  • Corrupted or malformed downstream data outputs
  • Unexpected transformation results
  • Mismatch between raw and processed datasets
  • Unauthorized pipeline modifications
Why
  • Controls flow of intelligence across entire system
  • Manipulation affects all downstream decisions
  • Acts as transformation layer for raw sensor and external data
How
  • Data injection or poisoning
  • Transformation logic manipulation
  • Schema corruption attacks
Prevent
  • Strict schema validation
  • Signed data ingestion pipelines
  • Immutable transformation logic
Detect
  • Unexpected data format changes
  • Pipeline latency anomalies
  • Data inconsistency across stages
Respond
  • Pause data pipeline processing
  • Isolate affected ingestion sources
  • Flush corrupted data streams
Recover
  • Rebuild pipeline from trusted codebase
  • Replay validated raw data only
  • Revalidate transformation logic integrity
Human Work Flow Surfaces
RISK LEVEL CRITICAL
TRUST BOUNDARY human
ATTACK SURFACE CONTEXT Operational human processes including administration, maintenance, support workflows, and decision execution paths
INDICATORS OF COMPROMISE
  • Privilege escalation without corresponding change request
  • Support ticket used to trigger unauthorized system change
  • Admin console login from unrecognized environment
  • Bypass of approval workflow checkpoints
Why
  • Humans are the weakest authentication and authorization layer
  • Operational workflows bypass technical controls
  • Privilege escalation through social and procedural paths
How
  • Credential harvesting via phishing or support impersonation
  • Abuse of admin consoles and operator dashboards
  • Ticketing system manipulation for unauthorized access
  • Insider misuse of elevated privileges
Prevent
  • Least-privilege role design for operators
  • Multi-party approval for high-impact actions
  • Separation of duties in operational workflows
  • Hardened admin tooling with session recording
Detect
  • Unusual administrative action sequences
  • Out-of-hours privileged operations
  • Cross-account access patterns
  • Repeated failed authorization attempts across workflows
Respond
  • Freeze affected operator session
  • Revoke elevated permissions
  • Require re-authentication through secure channel
Recover
  • Audit all human-driven actions in time window
  • Restore correct privilege assignments
  • Revalidate workflow integrity rules
Supply Chain Build Time Surfaces
RISK LEVEL CRITICAL
TRUST BOUNDARY supply chain
ATTACK SURFACE CONTEXT All build, dependency, compilation, packaging, and artifact generation systems
INDICATORS OF COMPROMISE
  • Artifact hash mismatch
  • Unknown dependency introduced in build
  • CI job executed from unauthorized source
Why
  • Compromised build = trusted malicious system
  • Early-stage injection bypasses runtime detection
  • Dependency ecosystems are high-variance trust zones
How
  • Dependency substitution (typosquatting or hijacking)
  • CI/CD pipeline compromise
  • Compiler or build tool tampering
  • Unsigned artifact injection
Prevent
  • Reproducible builds
  • Signed artifact pipelines
  • Isolated CI runners
  • Pinned dependency graphs
Detect
  • Build output divergence
  • Unexpected dependency graph changes
  • Unsigned or mismatched artifacts
Respond
  • Halt deployment pipeline
  • Invalidate build artifacts
  • Rebuild from trusted source tree
Recover
  • Reconstruct clean build environment
  • Re-sign verified artifacts
  • Audit full dependency chain history
Semantic Protocol Surfaces
RISK LEVEL HIGH
TRUST BOUNDARY middleware
ATTACK SURFACE CONTEXT Communication semantics, API contracts, serialization formats, and message interpretation layers
INDICATORS OF COMPROMISE
  • Valid-looking but semantically invalid payloads
  • Repeated deserialization failures
  • Protocol version mismatch spikes
Why
  • Systems trust structure, not just transport
  • Small semantic changes can cause large behavioral shifts
  • Protocol ambiguity enables injection attacks
How
  • Schema manipulation or version drift
  • Serialization desync attacks
  • Malformed API payload injection
  • Event ordering manipulation
Prevent
  • Strict schema validation enforcement
  • Versioned protocol contracts
  • Canonical serialization rules
  • Strict event ordering guarantees
Detect
  • Schema mismatch errors
  • Unexpected field population patterns
  • Message ordering inconsistencies
Respond
  • Reject malformed message streams
  • Isolate affected communication channel
  • Rollback protocol version if needed
Recover
  • Re-synchronize distributed state
  • Rebuild message integrity logs
  • Restore canonical schema definitions
Decision Control Logic Surfaces
RISK LEVEL CRITICAL
TRUST BOUNDARY control plane
ATTACK SURFACE CONTEXT System decision-making logic including safety constraints, arbitration systems, and failover control mechanisms
INDICATORS OF COMPROMISE
  • System entering unsafe operational mode without trigger
  • Policy engine disagreement with execution layer
  • Repeated safety constraint violations ignored
Why
  • Control logic defines system behavior under uncertainty
  • Manipulation leads to unsafe autonomous actions
  • Failsafe logic is often under-tested
How
  • Policy override exploitation
  • Failover trigger manipulation
  • Constraint solver bypass
  • State machine corruption
Prevent
  • Hard-coded safety invariants
  • Independent safety monitors
  • Redundant decision validation systems
  • Immutable fail-safe thresholds
Detect
  • Unexpected state transitions
  • Policy conflict resolution anomalies
  • Repeated fallback mode triggers
Respond
  • Force system into safe shutdown state
  • Lock decision engine into read-only mode
  • Activate independent safety controller
Recover
  • Restore validated decision graph state
  • Rebuild control policy hierarchy
  • Revalidate all safety constraints
Observability Control Plane Surfaces
RISK LEVEL HIGH
TRUST BOUNDARY observability
ATTACK SURFACE CONTEXT Monitoring, logging, telemetry, alerting, and incident correlation systems that define system visibility
INDICATORS OF COMPROMISE
  • Audit logs missing expected events
  • Alerting system silence during anomaly conditions
  • Telemetry divergence across sources
Why
  • If attackers control visibility, they control detection
  • Telemetry manipulation hides malicious behavior
  • Alert suppression delays response
How
  • Log injection or deletion
  • Metric manipulation or spoofing
  • Alert suppression or flooding
  • SIEM ingestion pipeline disruption
Prevent
  • Immutable log storage
  • Independent telemetry pipelines
  • Dual-channel monitoring systems
  • Write-once audit logs
Detect
  • Missing telemetry intervals
  • Sudden drop in event frequency
  • Inconsistent cross-source logs
Respond
  • Switch to backup observability pipeline
  • Lock logging system into append-only mode
  • Trigger forensic capture mode
Recover
  • Reconstruct missing logs from secondary sources
  • Revalidate observability integrity chain
  • Restore SIEM baseline configurations
External Dependency Runtime Behaviors
RISK LEVEL HIGH
TRUST BOUNDARY external
ATTACK SURFACE CONTEXT Runtime interactions with external APIs, identity providers, cloud services, and third-party systems
INDICATORS OF COMPROMISE
  • Repeated external API failures correlated with system instability
  • Unexpected authentication session invalidation
  • External dependency behavioral drift
Why
  • External systems lie outside direct control boundary
  • Failures cascade into internal system instability
  • Federated trust expands attack surface
How
  • API response manipulation or poisoning
  • OAuth / identity provider compromise
  • Service degradation or intentional throttling
  • DNS or routing manipulation
Prevent
  • Circuit breakers for external calls
  • Strict timeout and retry policies
  • Fallback providers and redundancy
  • Signed API response validation where possible
Detect
  • Latency spikes in external calls
  • Unexpected response schema changes
  • Authentication token anomalies
Respond
  • Isolate external dependency integration layer
  • Fail over to backup service providers
  • Disable affected external integration
Recover
  • Re-sync external state with internal cache
  • Restore service provider trust registry
  • Revalidate integration contracts
Economic Operational Stress Surfaces
RISK LEVEL MEDIUM
TRUST BOUNDARY system
ATTACK SURFACE CONTEXT Operational constraints driven by resource allocation, cost controls, scheduling systems, and SLA enforcement logic
INDICATORS OF COMPROMISE
  • Unbounded compute growth in subsystem
  • Unexpected billing or cost spikes
  • System degradation without corresponding load increase
Why
  • Resource exhaustion can degrade system safety
  • Cost pressure can force unsafe automation decisions
  • SLA manipulation can trigger cascading failures
How
  • Resource exhaustion attacks (CPU, GPU, bandwidth)
  • Cost amplification via infinite loops or retries
  • Queue flooding or backlog injection
  • Scheduler manipulation
Prevent
  • Rate limiting and quota enforcement
  • Resource isolation per tenant/system component
  • Hard caps on compute loops
  • Budget-aware execution constraints
Detect
  • Sudden resource consumption spikes
  • Unusual retry or loop amplification patterns
  • Queue backlog divergence
  • SLA violation clustering
Respond
  • Throttle affected subsystem
  • Kill runaway processes
  • Isolate high-consumption workloads
Recover
  • Rebalance compute allocation
  • Restore scheduling integrity
  • Re-establish resource quotas and caps

Industry Observation: 39% (28 of 71) of interviewed organizations reported having no operational security capability for deployed autonomous systems.

Common strengths:

  • Strong preventative measures
  • Air-gapped or isolated environments
  • Custom networking architectures

Common gaps:

  • Operational monitoring
  • Detection capabilities
  • Incident response workflows

CONTROL EFFECTIVENESS / RISK SCORING FEEDBACK LOOP

Continuously evaluates the effectiveness of security, safety, and operational controls by comparing expected protection outcomes against observed system behavior. Produces dynamic risk scoring adjustments and control refinement signals across the system.

CONTROL PERFORMANCE ANALYSIS

  • Prevent control success vs failure rate tracking
  • Detect signal precision and false positive ratio
  • Response time effectiveness measurement
  • Recovery completeness validation

RISK SCORE DYNAMICS

  • Dynamic attack surface risk recalibration
  • Context-aware threat severity adjustment
  • Exposure weighting across trust boundaries
  • Real-time degradation scoring under stress conditions

FEEDBACK SIGNALS

  • Incident outcome success/failure mapping
  • Detection latency vs actual compromise time
  • Response containment effectiveness metrics
  • Recovery drift from known-good state baselines

ADAPTIVE CONTROL TUNING

  • Automated adjustment of detection thresholds
  • Policy refinement for prevent controls
  • Response automation escalation tuning
  • Recovery validation strictness scaling

RISK INTELLIGENCE OUTPUT

  • Attack surface risk heatmap recalculation
  • Trust boundary re-weighting across system layers
  • Control gap identification and prioritization
  • Predictive failure likelihood scoring

This layer ensures the system does not remain statically “secure on paper,” but continuously improves based on real-world operational feedback and control performance.

HUMAN-IN-THE-LOOP BOUNDARIES

Defines decision thresholds where autonomous systems must defer to human authorization, oversight, or intervention. Human-in-the-loop is treated as a constrained control mechanism activated under defined risk, uncertainty, or policy conditions—not as a default fallback.

AUTONOMY THRESHOLD CONTROL

  • Confidence-based execution gating
  • Risk score escalation triggers
  • Safety-critical action restriction zones
  • Multi-stage approval thresholds
  • Policy-bound autonomy ceilings

HUMAN OVERRIDE AUTHORITY

  • Manual override of autonomous decisions
  • Emergency stop / system halt activation
  • State freeze and containment mode
  • Recovery authorization gating post-incident
  • Scoped override permissions by role

ESCALATION CONDITIONS

  • High-severity attack surface activation
  • Low confidence in model or sensor inputs
  • Cross-system anomaly correlation events
  • Degradation of control effectiveness metrics
  • Provenance or integrity uncertainty in inputs

DECISION SCOPE BOUNDARIES

  • Mission-critical execution approval gates
  • Firmware and OTA update authorization
  • Identity, role, and privilege modifications
  • Network isolation or segmentation actions
  • Policy epoch or trust model changes

AUDITABILITY & ACCOUNTABILITY

  • Human decision trace logging with attribution
  • Approval lineage tracking across control actions
  • Override justification capture and review workflow
  • Post-action verification and reconciliation logging
  • Compliance alignment (NIST, CMMC, OWASP, ISO)

HUMAN BEHAVIOR DYNAMICS (EXTENDED MODEL)

Models human operators as a variable trust and reliability surface that can introduce uncertainty into autonomous decision chains under stress, fatigue, or adversarial influence.

  • Role and permission drift detection
  • Authentication state consistency validation
  • Unexpected privilege escalation detection
  • Concurrent session anomaly detection

Behavioral risk vectors:

  • Fatigue-induced decision degradation
  • Social engineering susceptibility patterns
  • Repeated override normalization (trust erosion)
  • Operational bypass behavior under pressure

SUPPLY CHAIN PROVENANCE & TRUST LINEAGE

Defines the verifiable lineage, integrity, and confidence scoring of any software, firmware, model, or configuration artifact prior to production execution. Trust is derived from cryptographic provenance, dependency validation, and runtime attestation, with support for degraded or intermittent environments.

ORIGIN VERIFICATION DEPTH

  • Source repository authenticity validation
  • Commit signing and author identity verification
  • Build environment identity confirmation
  • Initial artifact generation traceability
  • Chain-of-origin completeness scoring

TRANSITIVE DEPENDENCY TRUST

  • Full dependency graph resolution (direct + indirect)
  • Nested library provenance verification
  • Package ecosystem trust scoring
  • Dependency substitution and injection detection
  • Dependency coverage completeness metric

BUILD & PIPELINE ATTESTATION

  • CI/CD pipeline execution integrity verification
  • Reproducible build confirmation where available
  • Artifact signing and hash-chained integrity
  • Build environment isolation attestation
  • Pipeline provenance completeness score

DISTRIBUTION TRUST CHAIN

  • Artifact registry signing validation
  • OTA delivery channel integrity checks
  • Edge deployment verification across fleet
  • Rollback protection and version lineage tracking
  • Distribution path integrity scoring

HARDWARE & FIRMWARE BINDING

  • Firmware-to-hardware identity binding verification
  • Boot chain alignment with software provenance
  • TPM-backed attestation chaining
  • Device identity continuity across updates
  • Hardware trust anchor validation

TRUST GRADING & PROVENANCE STATE

  • Verified: full cryptographic and dependency chain intact
  • Attested: signed but partially incomplete dependency graph
  • Degraded: runtime exceptions or missing lineage allowed under policy
  • Quarantined: execution blocked due to trust failure
  • Unknown: insufficient data, requires isolation or inspection

PROVENANCE BREAK DETECTION

  • Unsigned or weakly signed artifact rejection
  • Unexpected divergence in dependency graph lineage
  • Unverifiable build or deployment source detection
  • Cross-surface trust inconsistency alerts
  • Integrity chain discontinuity detection

PROVENANCE METRICS

  • Chain-of-trust completeness percentage
  • Dependency graph resolution coverage
  • Signature and attestation coverage ratio
  • Provenance freshness (TTL alignment score)
  • Hardware binding confidence level

Artifact validity is determined through a graded trust model combining cryptographic provenance, dependency integrity, and runtime attestation. Incomplete lineage does not automatically imply rejection; instead, execution is governed by trust level, policy constraints, and system state conditions.

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