Observed Signal · Jun 2, 2026 · Technical Release · Source: techcrunch · Impact: 4/5 · Sentiment: Positive
Microsoft launches Agent Control Specification for AI
Microsoft has published an open source standard called the Agent Control Specification (ACS) to give developers, security, and compliance teams a consistent, granular way to govern AI agents. ACS lets teams write policy files that declare what an agent may or must not do, when human approval is required, and what evidence to log. Policies are evaluated at multiple interception points across an agent workflow (before input, before tool calls, after tool returns, and before final response). The spec supports inserting classifiers, LLM-based policy judges, and tool-call logic, and policies can be bundled with agents for portability across frameworks. Microsoft is shipping ACS as an SDK with plug-ins for LangChain, OpenAI Agents SDK, Anthropic Agents SDK, AutoGen, CrewAI, Semantic Kernel, Microsoft.Extensions.AI, MCP tools, and others.
Microsoft (a major platform) published an open standard and SDK that standardizes agent governance across frameworks — this affects security, compliance, auditability and reuse for any organization deploying agentic AI, including AdTech vendors integrating agentic workflows.
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Key Takeaways & Evidence Grounding
- Microsoft announced an open source standard called Agent Control Specification (ACS).
- ACS enables policy files that define allowed/forbidden actions, human-approval gates, redaction, and evidence logging for AI agents.
- Policies are checked at multiple interception points: before input, before a tool call, after a tool returns, and before the final response.
- ACS ships as an SDK with plug-ins for LangChain, OpenAI Agents SDK, Anthropic Agents SDK, AutoGen, CrewAI, Semantic Kernel, Microsoft.Extensions.AI, MCP tools, and more.
- Policies can be written as single files and bundled with agents so governance can follow an agent across different frameworks and environments.
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