{"repo":"GenAI-Security-Project/agent-control-standard","free":true,"listed":false,"github":"https://github.com/GenAI-Security-Project/agent-control-standard","clone":"git clone https://github.com/GenAI-Security-Project/agent-control-standard.git","description":"The open standard for runtime agent control — declarative hooks, policy enforcement, and observability across AI agent frameworks.","language":null,"stars":40,"topics":["agent-safety","ai-agents","governance","middleware","observability","open-standard","opentelemetry","owasp","policy-enforcement","runtime-control"],"license":"Apache-2.0","category":"ai-agents","readme_excerpt":"Agent Control Standard Making AI agents trustworthy by standardizing observability and control. Rational Agents must become trustworthy to enable widescale adoption. Transparency is the foundation of trust. Whether built in-house or adopted as part of a service. Consumed on cloud, as SaaS, on-prem or on endpoints. Agents must be fully observable by the enterprise that welcomes them in. We cannot trust a magic black-box. For agents to become trustworthy they must be inspectable, traceable and instrumentable . - Inspectable: we don’t have to guess what’s inside. Which tools, models and capabilities are being used. What software version is running and who built it. What are the services behind them, and which data they can access. Must dynamicly adapt to account for rapid changes in agent components. - Traceable: we know what the agent did and why. We can trace back any action taken to the reasoning behind it and the originating task. Even if the thread goes through multiple agents and software systems. In case of compromise, we can identify and remediate the root cause. - Instrumentable: we can hook into agent execution and steer it in the right direction. We can put hard controls around agents and define their scope of action. Apply centralized enterprise logic, be it security, compliance or legal, uniformly across agent platforms. Prevent or modify behavior to comply. Key Components The standard covers the following aspects 1. ACS that defines the interaction between the Obse","default_branch":null,"files":null,"tree":[],"storefront":"/r/GenAI-Security-Project","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/GenAI-Security-Project/agent-control-standard/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}