Preventing secret leakage into AI chat tools: a browser-native DLP approach

Short summary

Employees routinely paste secrets and sensitive data into AI tools, and traditional DLP tools can't catch prompts sent through browser chat interfaces. The article argues a managed browser extension that scans prompts before sending is the only reliable prevention layer. It outlines a deployment playbook for the author's product Slopfence, covering policy configuration, alert-only baselining, and progressive blocking.

• •Traditional DLP, network proxies, and policy-only approaches fail to prevent AI prompt leaks
• •Browser-native prompt scanning before send is positioned as the only reliable interception point
• •Deployment playbook covers GPO/MDM rollout, default policies, alert-only baselining, then progressive blocking

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