The First Formally Specified and Adversarially Verified Runtime Governance Framework for AI Systems
The Execution Governance Model (EGM) is the technical expression of the BridgeCore Governance Engineering Methodology™ (BGEM) applied to runtime AI governance. EGM embeds governance enforcement directly into AI execution — establishing six verified guarantees, validated through 57 adversarial tests and 21 conformance checks.
EGM is a formally engineered runtime governance system whose properties are specified, tested, and publicly verifiable.
EGM is not a set of governance principles or policy guidelines. Every guarantee is formally specified with precise definitions, scope conditions, and verification criteria.
Every guarantee was tested by attempting to break it before it was accepted. Attack vectors were documented before fixes were implemented and each structural change was verified independently.
EGM embeds governance enforcement directly into AI execution. Governance is not reviewed after the fact — it is enforced at the moment of every AI decision.
Each guarantee is formally specified, adversarially tested, and mapped to a corresponding threat vector and control framework requirement.
Complete Mediation
Every AI action passes through the governance enforcement boundary without exception. No action can bypass evaluation.
Threat: Governance bypass through unmediated execution paths
Deterministic Adjudication
Given the same governance state and action, the enforcement decision is always the same. Governance cannot produce inconsistent outcomes.
Threat: Non-deterministic enforcement enabling inconsistent governance decisions
Bounded Fail-Closed Evaluation
When governance evaluation cannot complete within defined bounds, the system fails closed — blocking action rather than defaulting to permissive behavior.
Threat: Unbounded evaluation enabling timeout-based governance bypass
Escalation Integrity
Escalation pathways are tamper-resistant. Governance decisions cannot be modified or suppressed as they move through escalation chains.
Threat: Escalation path manipulation to suppress or modify governance decisions
Binding Consistency
Governance decisions bind execution consistently. The same governance outcome applies regardless of how or when execution is attempted.
Threat: Inconsistent binding enabling selective governance enforcement
Evidence Continuity
Every governance decision generates tamper-evident evidence. The complete audit trail from action to decision to outcome is preserved without gaps.
Threat: Evidence gaps enabling undetectable governance decisions
EGM was not assumed to be correct. Every guarantee was subjected to adversarial testing before it was accepted as verified.
Document the attack vector
For every guarantee, the specific attack capable of defeating it was identified and documented before any fix was implemented.
Apply one structural change at a time
Changes were made incrementally — one structural fix at a time — to ensure each change could be independently attributed to a specific improvement.
Verify each change independently
Every structural change was verified before proceeding. A change that did not demonstrably strengthen the guarantee was rejected.
EGM guarantees are mapped to corresponding controls across the major AI governance and security frameworks.
Detailed control mappings are documented within the published technical specification.
EGM is the runtime governance expression of BGEM — derived from the foundational methodology and complementary to the Accountability Layer Framework.
Full EGM Specification on GitHub
Complete EGM specification, adversarial test suites, conformance checks, and implementation documentation — publicly available and actively maintained.
View on GitHub →Accountability Layer Framework (ALF)
The organizational accountability architecture that operates above the EGM enforcement layer — defining authority, escalation, and evidence structures.
Explore ALF →BridgeCore Governance Engineering Methodology™
The foundational methodology from which EGM and all BridgeCore AI engineering capabilities are derived.
Explore BGEM →Ready to implement runtime governance in your organization?
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