Trust3 AI announced AgentDOS, the first enterprise control plane delivering full observability into AI agents, including real-time token consumption monitoring across platforms such as Databricks Agent Bricks and Microsoft Copilot Studio. As enterprises scale AI adoption, risks include autonomous agents acting beyond their intended scope, accessing regulated data, and silently driving up token consumption. Regulatory frameworks such as the EU AI Act and standards like the NIST AI Risk Management Framework require organizations to demonstrate accountability over automated decision-making systems. AgentDOS addresses this gap by giving enterprises a unified view of every AI agent, every action, and every token consumed. Built as part of Trust3 AI’s One Control Plane architecture, it extends the company’s Unified Trust Layer to bring governance, security, and observability together across any agent framework, cloud, or data environment. AgentDOS introduces policy-driven token observability, allowing organizations to track, control, and enforce usage limits across agents in real time. Features include detecting scope drift, monitoring token consumption across platforms, automatically discovering and inventorying agents with dynamic trust scores, tracing every agent decision with full fidelity, and gaining visibility into regulated data access.