The Claude Platform has seen a rapid surge in popularity, particularly among developers, professional users, and enterprises. Organizations are eager to capitalize on the innovation and productivity gains, but data security governance often lags. Without visibility into where sensitive data lives or how it’s classified, users often have access to far more than their roles require.
Sensitive data shared in prompts poses privacy and compliance risks that your existing security tools were never designed to detect.
Solution
Audit, govern, and put guardrails around sensitive data across the Claude Platform.
Concentric AI Semantic DLP integrates directly with the Compliance API for Claude to give security teams complete visibility into Claude activity.
Full activity logging and sensitive data detection
Semantic DLP logs every prompt, response, and attachment exchanged on the Claude Platform, giving compliance and security teams a complete record to support audits, investigations, and regulatory requirements. It also flags sensitive data in both prompts and AI-generated responses, enabling organizations to remediate risk before it creates liability.
Inline guardrails and shadow AI visibility
The risk from AI platforms typically stems from authorized employees sharing confidential data to get work done faster — not external threats. Semantic DLP provides visibility across all public GenAI tools your users access, including unsanctioned shadow AI applications. Security teams can set inline guardrails powered by to block or redact sensitive content before it reaches Claude.