Data Loss Prevention (DLP)
Controls that detect and stop sensitive data from leaving an organization - extended, for AI, to the prompts and responses crossing the model boundary.
Data loss prevention (DLP) is the long-standing security practice of inspecting data in motion and at rest to stop confidential information - customer records, secrets, regulated data - from leaving approved boundaries. Traditional DLP watches email, endpoints, and network egress.
AI opens a channel classic DLP never covered: every prompt to a hosted model is an egress event, and every response can bring sensitive data back. AI-native DLP inspects that traffic inline - detecting and redacting or blocking sensitive fields before a prompt leaves the perimeter - which is exactly the job of a boundary that sees every request.
Govern AI like infrastructure.
Talk to our team about deploying DataStrict across your enterprise stack.