What is Data Loss Prevention (DLP)?
Systems that stop sensitive data from leaving the organization.
Short answer
Data loss prevention, or DLP, is the practice of detecting and blocking the unauthorized flow of sensitive data out of an organization. Traditional DLP focused on email, endpoints, and cloud storage. The modern problem is generative AI, where employees hand data directly to external models.
In depth
Classic DLP appliances inspect network traffic and endpoints for known data formats like credit cards and social security numbers. They struggle with AI for two reasons: traffic to AI platforms is encrypted and frequent, and the sensitive data is often embedded in freeform prose rather than fixed formats.
LeakSnitch is DLP purpose built for the AI era. Detection runs locally inside the browser and IDE, so it sees the exact moment data is about to be sent to an AI model, and it acts in under 50 milliseconds with block or redact options.
Frequently asked questions
Is traditional DLP effective against AI leaks?
Partially. Traditional DLP catches fixed data formats but misses freeform prompts, and it often cannot decrypt the traffic to AI platforms. LeakSnitch is built for this surface: local, client side detection that sees the actual text before submission.
Related terms
Stop AI leaks on the device, not in the cloud.
Install LeakSnitch in under 30 seconds and protect every prompt sent to ChatGPT, Claude, Gemini, and 25+ AI tools. Free for individuals.