ACS: capabilities, use cases, and sources

The open standard that makes AI agents governable at runtime. Centralized policy enforcement across every agent platform. Key features: A Guardian Agent intercepts the action, evaluates it against policy, and returns a verdict: allow, deny, or modify, ACS closes that gap: a shared, open standard for runtime agent control that any platform can implement and any organization can enforce, ACS enables enterprises to intercept agent actions as they happen, ACS exists because the industry needs a shared safety baseline for AI agents, ACS extends CycloneDX, SPDX, and SWID to produce dynamic Agent Bills of Materials (AgBOM) that capture every tool, model, capability, knowledge source, and dependency in an agent system, ACS extends OpenTelemetry with agent-specific semantic conventions and maps security events to OCSF for integration with existing SIEM infrastructure, Agent Control Standard (ACS) is the open standard that defines how agent platforms expose middleware hooks and how open-source tooling enforces safety policy through those hooks, Any enterprise brings its established security tooling.