
Microsoft Open Trust Stack AI agent governance: ASSERT, ACS, and OpenInference for production
Microsoft Open Trust Stack AI agent governance is Microsoft’s 2026 pattern for making agents testable, enforceable, and observable. The practical model is simple: use ASSERT before release, ACS during runtime, and OpenInference traces across both so engineering, security, and SRE teams can inspect the same evidence. What does Microsoft mean by the Open Trust Stack? Microsoft Open Trust Stack AI agent governance is a production governance approach announced at Build 2026 that combines two open-source projects, ASSERT and Agent Control Specification, with OpenInference telemetry. ASSERT means Adaptive Spec-driven Scoring for Evaluation and Regression Testing, while ACS defines portable runtime controls for agent behavior. Microsoft frames the audience as the 6 to 13 million generative AI developers building agents across frameworks such as LangChain, CrewAI, LiteLLM, and OpenAI. The stack is not a single hosted product or a replacement for secure application design. It is a lifecycle: evaluate agent behavior before release, enforce policies while the agent acts, and preserve trace evidence for debugging, audits, and regression analysis. The important takeaway is that governance becomes an engineering system, not a policy document. ...
