AI Execution Governance
Definition
The practice of controlling and validating what AI agents are allowed to do in production environments. Unlike content moderation (filtering outputs) or safety alignment (training-time constraints), execution governance operates at the boundary between agent reasoning and tool execution, validating every proposed action before it reaches external systems.
Why It Matters
Content moderation catches harmful text. Safety alignment reduces harmful intent. But neither prevents a well-intentioned, correctly-formatted function call from deleting a production database. Execution governance is the missing layer that validates whether an action is admissible, not just whether it is syntactically correct.
How Exogram Addresses This
Exogram provides the execution governance layer through the EAAP (Exogram Action Admissibility Protocol) — a 4-layer deterministic control plane that evaluates every proposed action against policy rules, schema constraints, and system state before allowing execution.
Related Terms
Key Takeaways
- → This concept is part of the broader AI governance landscape
- → Production AI requires multiple layers of protection
- → Deterministic enforcement provides zero-error-rate guarantees