Why Anthropic’s new Compliance API is a Game-Changer for Secure Agentic AI Access

Agentic AI Security has been in its infancy. With the rapid development of Claude and Claude Code, developers (and non-developers) have been able to enable workflows, leverage MCP servers and AI agents, and create software, often with access to sensitive systems and data. At the same time, security teams have been unable to understand which agents are being created, who they’re owned by, what they have access to, and what they are doing. With one short paragraph hidden at the bottom of an announcement by Anthropic, this is about to change with the release of its new Compliance API.

Solving the Endpoint Blind Spot

When employees use agents from their personal devices, the only way to track usage and access to critical data and services has been at the endpoint. Organizations have struggled to audit the access that these AI agents have and the queries they make, and what data is reaching the endpoint.

Until now, most enterprise AI monitoring has focused on cloud services, identity provider, and SaaS levels. This only provides limited access visibility, but not at the data level that truly matters to security and compliance. The real blind spot has been the endpoints where many AI agents actually run. When an agent consumes sensitive data through tokens, service accounts, or OAuth integrations, we’ve had to rely on heavily-modified traditional MDM or EDR endpoint security tools, which still can’t easily tell you which identity was involved or how data was accessed.

Anthropic’s Compliance API narrows that gap. It provides usage, access, and security data from Claude clients, meaning enterprises can finally see what’s happening on the endpoint without installing and integrating security agents that aren’t built for AI Non-Human Identity (NHI) usage monitoring. Let’s hear directly from Anthropic:

Enterprise organizations can now better meet regulatory requirements with our new Compliance API. Rather than manual exports and periodic reviews, compliance teams get real-time programmatic access to Claude usage data and customer content (emphasis added), enabling them to build continuous monitoring and automated policy enforcement systems.

Administrators can integrate Claude data into existing compliance dashboards, automatically flag potential issues, and manage data retention through selective deletion capabilities. This provides the visibility and control organizations need to scale AI adoption while meeting regulatory obligations (emphasis added).

This is a breakthrough moment. Not just for compliance, but for solving one of the hardest problems in AI security today.

First-of-Its-Kind Telemetry

The Compliance API offers rich, AI-native telemetry:

• Which Model Context Protocol (MCP) servers are in use
• What data is being stored locally
• How AI agents are leveraging that data

This visibility was impossible before, and it’s exactly the kind of detail compliance and security teams need to enforce policy without slowing down innovation.

From Periodic Reviews to Continuous Enforcement

Traditionally, compliance teams have had to rely on periodic audits or manual exports, which are painful, slow, and often incomplete. With Anthropic’s API, organizations can now integrate it with existing security and compliance toolsets (like the Token Security platform) to get:

• Real-time access to usage data
• Continuous monitoring instead of snapshots
• Automated enforcement through policy dashboards
• Data retention control with selective deletion capabilities

This shift hardens AI security and makes compliance easier and proactive.

Securing AI Agents Starts with Non‑Human Identities

One of the most pressing needs for organizations today is how to get the visibility and control they need to scale AI safely. One of the most common questions we hear from customers is: “How do we know which AI agent is attributed to a specific endpoint and what data is it consuming?” Until now, there wasn’t a high-fidelity answer. With Anthropic’s Compliance API (and our integrations) Token Security can now deliver that clarity. In real time, enterprises can see which agents are pulling data and whether their actions align with compliance requirements.

Endpoint and compliance tools weren’t designed with AI in mind. They can track logins and service accounts, but can’t answer critical questions about AI agent behavior and NHI usage. This is why NHI Security is the proper control plane securing AI agents. Only NHI vendors have the context across the entire technology stack to properly understand and quantify risk and detect abnormal AI agent activity.

With the announcement of the Anthropic Compliance API and existing integration with OpenAI, Token Security will offer full visibility into the two largest AI platforms in the market, with integrations coming with Cursor and beyond. This means enterprises can scale AI adoption across multiple providers without losing control of NHI monitoring.

Anthropic’s Compliance API represents a turning point for enterprise AI adoption. It takes compliance from a checkbox exercise to an integrated, continuous process—and for NHI monitoring, it’s the missing puzzle piece we’ve been waiting for.