Real stories, data, and analysis on how sensitive data leaks into AI tools and how to prevent it.
A real incident where a fintech CTO pasted live AWS keys into ChatGPT while debugging. The keys were cached and exposed within a minute. Here is how browser-level DLP prevents it.
Enterprise telemetry reveals that employees use an average of 14 AI tools at work, only 2 of which are IT-approved. Unapproved tools have no DLP, no audit trail, and no data retention policies. Here is what the data shows.
A healthcare company deployed a regex-only DLP solution that flagged 12,000 alerts in week one, 94% of which were false positives. The team ignored all alerts by week three. Here is why context-aware detection is the only way to avoid alert fatigue.
AI coding tools like Copilot, Cursor, and Codeium send code context to cloud APIs. A developer at a dev shop pasted a production database connection string into Cursor. The LeakSnitch IDE extension blocked it. Here is why every dev team needs IDE-level DLP.