Glossary/Agentic Governance
AI Governance & Verification
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What is Agentic Governance?

TL;DR

Agentic Governance is the management and oversight framework required for autonomous AI agents operating in production environments.

Agentic Governance is the management and oversight framework required for autonomous AI agents operating in production environments. It encompasses policies, controls, and tooling that ensure AI agents act within defined boundaries, maintain accountability, and produce auditable decision trails.

Key components: - Identity and Access Management for agents (what each agent can do) - Action Admissibility (filtering the decision space before agents choose) - Audit logging (immutable record of all agent actions) - Constraint enforcement (non-bypassable rules) - Human-in-the-loop gates (escalation triggers for high-risk actions)

Exogram's Execution Control Plane represents the most comprehensive implementation of agentic governance in production.

Why It Matters

Without agentic governance, autonomous AI agents are like giving employees unlimited access to all company systems with no oversight, no audit trail, and no ability to revoke permissions. The EU AI Act (2026 enforcement) requires governance for high-risk autonomous systems.

Frequently Asked Questions

Is agentic governance required by law?

The EU AI Act (enforcement phased 2025-2026) requires governance for high-risk AI systems, which includes autonomous agents making decisions in healthcare, finance, employment, and law enforcement.

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Richard Ewing is a Product Economist and AI Capital Auditor. He helps companies translate technical complexity into financial clarity.

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