Research, methodology, and insights on autonomous AI agent governance.
The AI agent governance market organizes around three functional categories: runtime observability, GRC, and machine identity security. Each has its leaders. None provides the doctrinal reference regulators are starting to ask for. That is the gap the Agentic Commerce Framework® (ACF) fills.
The official Model Context Protocol server for ACF® distributes the doctrine, the 17 methodological cards, the V2.1 whitepaper and mappings to the 5 major legal frameworks, every resource Ed25519-signed, every release verifiable. Available on npm as `acf-mcp@1.1.0`.
The Digital Omnibus on AI defers Annex III obligations to 2 December 2027. For commercial AI agents, pricing, lead qualification, credit scoring, B2B negotiation, the reprieve is narrower than it appears: GDPR, DDA, French consumer law and DGCCRF remain fully enforceable.
The Digital Omnibus on AI defers Annex III high-risk obligations by 16 months and Annex I product-regulated high-risk obligations by 12 months. What the 6 May 2026 agreement changes, and what it leaves untouched.
Traditional AI governance frameworks were designed for models. Not for agents that make decisions and act autonomously. This confusion is costly.
The AI Act's risk-based approach creates specific obligations for autonomous agents. Here's what ACF Level 2 governance covers.
The DDAO is the legal guardian of your autonomous agents. How to create and empower this critical role within your organization.
An effective emergency stop is not a single button. ACF® specifies multiple interrupt levels with defined response times.
McKinsey estimates the agentic commerce market at $3-5 trillion by 2030. Without governance, this opportunity becomes a systemic risk.
Complete framework architecture in layers: Governance, Policy, System, and Supervision. How they interact and why each is essential.
You're told governing AI agents slows innovation. That's wrong. Here's why the best-governed organizations will be the most competitive.