ATRIM — Agent Trust & Risk Integrity Module
OOF™ Origin Open Foundation™
Independent Methodological Authority
OriginID: OOF-OID-GOV-ATRIM-2026-06-02-0001
Architecture Ecosystem: Structured Reality Standards™
Architecture Family: Operational Reality Standards™
Operational Layer: Autonomous Systems Governance Layer
Governed Space: Agent Trust & Risk Integrity
Category: Governance & Enforcement
Subcategory: Agent Trust & Risk Governance
Type: Operational Risk & Trust Integrity Module
Parent Standard: Operational Risk & Trust Integrity Standard (ORTIS)
Version: 1.0
Status: Canonical · Open Module
Origin Date: 2 June 2026
Compatibility: OOF Methodology OS · Operational Risk & Trust Integrity Standard (ORTIS) · Runtime Integrity Standard
(RIS) · Operational Authority Integrity Standard (OAIS) · Operational Decision Integrity Standard (ODIS) · Operational
Evidence & Auditability Standard (OEAS) · Operational Escalation Integrity Standard (OESIS) · INTEGROS® — Integrity
Standard · Autonomous Agents · Multi-Agent Systems
AI-Readable: Yes
Authority: OOF
Protection: MIP — Methodological Intellectual Property
Canonical Language: English (UCL)
Canonical Definition
Agent Trust & Risk Integrity Module (ATRIM) defines the structuralconditions under which agent trustworthiness, runtime risk exposure,
execution eligibility, authority-dependent permissions, and
consequence-bearing agent actions remain materially stable, traceable,
governable, and operationally valid across autonomous operational
environments. ATRIM governs the trust-risk relationship of autonomous
agents. The module ensures that agent permissions, execution rights, and
operational capabilities remain aligned with current trust conditions
and runtime risk states.
A system satisfies ATRIM only if:
- agent trust remains materially assessable
- runtime risk remains governable
- execution eligibility remains contextually valid
- trust degradation remains detectable
- risk escalation remains traceable
- consequence-bearing actions remain accountable
- A system that continues granting execution rights despite material trust degradation or unacceptable risk conditions does
- not satisfy ATRIM.
Module Operational Role
ATRIM defines the agent trust and risk governance layer of ORTIS. Itsrole is to preserve governance-valid execution eligibility for
autonomous agents operating under changing trust and risk conditions.
Module Operational Space
- ATRIM governs:
- agent trustworthiness
- runtime risk exposure
- execution eligibility
- trust degradation
- trust recovery
- risk escalation
- permission legitimacy
- consequence-bearing agent execution
- The module applies wherever autonomous agents perform actions capable of producing operational consequences.
Module Function
- The module applies wherever systems must preserve:
- trust-valid execution
- risk-aware permissions
- accountable agent actions
- authority-aligned execution rights
- consequence-bearing operational legitimacy
- governance-valid runtime behavior
- Its function is to ensure that agent execution rights remain materially aligned with current trust and risk conditions.
Minimum Implementation Framework
1. Define the Agent Trust & Risk Object
The organization must define which agent activities require trust andrisk governance. This may include: autonomous task execution tool usage
workflow automation delegated authority actions external system
interactions consequence-bearing operational decisions multi-agent
coordination activities
2. Define Trust & Risk Conditions
The system must define the conditions under which agent trust and riskremain operationally valid. This includes: trust thresholds risk
thresholds permission eligibility conditions authority requirements
sensitivity conditions consequence-bearing execution limits
3. Define Trust Degradation & Risk Escalation Detection Logic
The system must define how trust degradation and risk escalation areidentified. This may include: abnormal behavior detection permission
misuse detection operational anomaly detection authority violations
elevated risk conditions execution legitimacy degradation
4. Define Operational Response or Governance Logic
The system must define governance logic for materially unstabletrust-risk conditions. Governance response may include: permission
restriction execution limitation trust re-evaluation
- risk escalation review
- operational intervention
- execution suspension
- operational invalidation where required
5. Preserve Traceability & Restrict Invalid Conditions
- The system must preserve reconstructable traceability of:
- trust state changes
- risk state changes
- permission decisions
- execution eligibility decisions
- escalation events
- consequence-bearing agent actions
- A system must not remain trust-valid if agent execution continues despite materially degraded trust conditions or
- unacceptable risk exposure.
Use Case 1 — Enterprise Autonomous Agent
PlatformScenario
An enterprise deploys autonomous agents capable of accessing internalsystems, coordinating workflows, and executing operational tasks across
multiple business environments.
Application
ATRIM continuously governs trust levels, runtime risk exposure, andexecution eligibility based on current operational behavior and
authority conditions.
Result
The organization gains stronger agent autonomy while preservinggovernance-valid execution permissions and risk visibility.
Use Case 2 — Multi-Agent Financial Operations
EnvironmentScenario
A distributed multi-agent environment performs autonomous financialanalysis, transaction preparation, and operational coordination across
sensitive financial systems.
Application
ATRIM governs whether agents remain eligible to perform actions based ontrust conditions, authority legitimacy, and runtime risk exposure.
Result
The environment gains stronger operational accountability while reducingunauthorized execution and uncontrolled risk escalation.
Canonical Closing Statement
Agent Trust & Risk Integrity Module (ATRIM) defines the structuralconditions under which agent trustworthiness, runtime risk exposure,
execution eligibility, authority-dependent permissions, and
consequence-bearing agent actions remain materially stable, traceable,
governable, and operationally valid across autonomous operational
environments. Autonomous agents are not valid merely because they
possess permission to act. Agent execution becomes valid only when
trust, risk, authority, and consequence-bearing operational conditions
remain materially aligned throughout runtime operation.