The Claude Compliance API offers security teams insight into employee and AI-agent actions, seamlessly integrating Claude data with existing security workflows, DLP, identity management, and more. This change addresses a growing enterprise security concern: generative AI tools are increasingly employed for research, software development, document processing, and automated workflows, but they can also pose risks of sensitive data exposure, unauthorized prompt activity, unapproved connections, and agent misuse. It also collects session content from Claude Code and Cowork, including prompts, responses, tool-call content, skills, and artifacts captured as transcript text.

This visibility allows defenders to examine sensitive information, including credentials, personally identifiable data, source code, financial data, or regulated content, that may have been shared with Claude.

Security platforms can classify the data, apply policy rules, generate alerts, and send relevant events to a Security Information and Event Management (SIEM) or case-management workflow. These integrations introduce new identity, authorization, and software supply-chain risks. Security platforms such as CrowdStrike, SentinelOne, Splunk, Elastic, Datadog, Microsoft Purview, Palo Alto Networks, Check Point, Cloudflare, Netskope, Zscaler, Proofpoint, Varonis, Wiz, and others can ingest or analyze Claude-related telemetry for detection, governance, auditing, and data protection use cases.

According to Claude, enterprises should maintain governance controls by defining AI-use policies, limiting agent permissions, applying least privilege, protecting API keys, reviewing connector access, and setting data-retention rules.