AI agents are already operating within enterprises, but there is little visibility into what they do, what data they access, and what they cost. Trust3 AI announced AgentDOS, the first enterprise control plane to provide complete observability for AI agents, including real-time token consumption monitoring across platforms such as Databricks Agent Bricks and Microsoft Copilot Studio.
As companies rapidly expand their AI deployments, new types of risks are emerging. It is about autonomous agents operating beyond their intended scope, accessing regulated data, and silently increasing token consumption. Regulatory frameworks such as the EU AI Act and standards such as the NIST AI Risk Management Framework further increase risk and require organizations to demonstrate accountability and control over automated decision-making systems. Traditional observability tools were built for developers to debug their models. They are not built for security, governance, and operations teams responsible for compliance, cost management, and enterprise risk.
AgentDOS addresses this gap by providing enterprises with a unified view of all AI agents, all actions, and all tokens consumed. Built as part of Trust3 AI’s One Control Plane architecture, AgentDOS extends the company’s Unified Trust Layer to unify governance, security, and observability across any agent framework, cloud, or data environment. Databricks Zerobus or Apache Kafka handles large volumes of logs and traces, including native OTel telemetry, and aggregates signals across the platform into a single unified console.
“Enterprises don’t have an AI problem; they have an AI visibility problem. Agents are already making decisions, accessing sensitive data, and spending budget without being monitored. AgentDOS gives security and governance teams the control plane they’ve been missing.” – Balaji Ganesan, CEO of Trust3 AI
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Token consumption is quickly becoming one of the largest and most discreet cost centers in enterprise AI. AgentDOS introduces policy-driven token observability, allowing organizations to track, control, and enforce usage limits across agents in real-time to prevent budget overruns before they occur.
AgentDOS enables businesses to:
- Detect scope drift in real timeidentify agents operating outside authorized boundaries before risk escalates
- Monitor token consumption across platformsDatabricks Agent Bricks, Microsoft Copilot Studio, and more.
- Automatically discover and inventory agentsassigning dynamic trust scores across security, compliance, and accountability dimensions.
- Track every agent decision with full fidelityPrompts, retrieval, tool usage, data access, and more, all available for replay on demand.
- Gain visibility into regulated data accessUnderstand exactly which datasets your agents are interacting with in production.
Unlike traditional tools, AgentDOS is designed for security, compliance, and governance teams, not just developers. All agent actions are powered by identity, declared purpose, data lineage, and live policy context, allowing organizations to apply governance in real time rather than after the fact.
Customer Story: Improving ROI and Compliance with AI in Healthcare
A healthcare provider managing sensitive patient data across multiple systems deployed AgentDOS to manage a growing number of AI agents running on Azure and Databricks. Within days, the organization identified multiple agents operating outside of their declared scope, including two individuals who were accessing regulated patient datasets without valid purpose context.
At the same time, monitoring of token consumption revealed that agents were scheduled to exhaust their monthly allocation in just 11 days. This is an excess that was not detected by existing tools. By moving from manual audits to real-time observability powered by OTel telemetry, the organization significantly reduced HIPAA audit preparation time, eliminated unplanned AI spending, and provided CISOs with a unified view of all agent activity involving protected health information.
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