Integrity Assurance Evidence Module (IAEM)
OOF™ Origin Open Foundation™
Independent Methodological Authority
OriginID: OOF-OID-INTEGROS-IAS-IAEM-2026-07-21-0003
Architecture Ecosystem: Structured Reality Standards™
Architecture Family: INTEGROS® — Integrity Governance Architecture
Parent Standard: Integrity Assurance Standard (IAS)
Operational Layer: Meta-Integrity Governance Layer
Category: Governance & Enforcement
Subcategory: Integrity Governance
Type: Parent Standard Module
Governed Space: Integrity Assurance Evidence
Version: 1.0
Status: Canonical · Open Module
Origin Date: 21 July 2026
Compatibility: OOF Methodology OS · GOA™ · OBIDENITY® · ART™ · ORA™ · AGA™ · AIG® · CLIA® ·
MGIA™ · ASGA™
AI-Readable: Yes
Authority: OOF®
Protection: MIP™ — Methodological Intellectual Property
Canonical Language: English (UCL)
Minimum Implementation Framework
1. Define Assurance Evidence RequirementsIdentify the evidence required to demonstrate continuous integrity assurance,
including monitoring records, validation reports, operational measurements,
governance approvals, integrity indicators, and supporting documentation.
2. Define Evidence Methodology
Establish standardized procedures for evidence collection, verification,
classification, preservation, traceability, evidence lifecycle management, and
governance oversight.
3. Define Evidence Validation Logic
Define how assurance evidence is evaluated for authenticity, completeness,
consistency, reliability, traceability, evidentiary integrity, and conformity
with approved governance requirements.
4. Define Governance Response
Establish governance actions for missing evidence, insufficient assurance
proof, inconsistent records, evidence integrity failures, corrective evidence
collection, and escalation where necessary.
5. Preserve Evidence Records
Maintain assurance evidence repositories, monitoring records, validation
reports, governance approvals, operational logs, evidence chains, timestamps,
and audit archives throughout the complete lifecycle.
Example Use Cases
Use Case 1 — Autonomous AI Governance
ScenarioAn autonomous AI platform continuously operates under integrity assurance
governance across multiple autonomous environments.
Application
IAEM governs the collection and preservation of monitoring evidence,
validation records, operational integrity indicators, and governance approvals
demonstrating sustained integrity assurance.
Result
Continuous integrity assurance is supported by objective, trustworthy, and
fully auditable governance evidence.
Use Case 2 — National Healthcare Infrastructure
ScenarioA nationwide healthcare information platform continuously manages sensitive
patient data under strict integrity governance requirements.
Application
IAEM governs evidence collection supporting ongoing integrity assurance,
including operational monitoring, validation activities, governance approvals,
and regulatory reporting.
Result
Healthcare integrity remains continuously demonstrable through transparent,
traceable, and regulator-ready assurance evidence.