Adopt GenAI without betting the company on it.
Prompts, context windows, and outputs inspected in real time — so the AI you build and buy never becomes the breach.
New surface, old data.
Every AI feature is a new path to the same sensitive data — and the old controls don't see any of it.
Injection is a data problem
One injected instruction turns your helpful assistant into an exfiltration channel with legitimate credentials.
RAG overshares by default
Retrieval doesn't respect document permissions unless something enforces them on every single query.
Outputs leak, too
Models paraphrase secrets. The leak doesn't match the source file — so file-based controls never fire.
Inspection at the model boundary.
Intercept every call
A gateway between apps and models — prompts in, completions out, MCP tool calls in between. Nothing passes uninspected.
MCP & AI Data Protection →Enforce by classification
Labels decide what a model may see, per user and per query — the same policy that governs files governs prompts.
Data Classification →Keep the audit trail
Every prompt, verdict, and redaction logged. When something does go wrong, the incident arrives as a finished case file.
Autonomous SOC Analyst →Ship the AI roadmap. Keep the data.
Real-time inspection with millisecond overhead — safe enough for legal, fast enough for product.