Enterprises are deploying AI across critical workflows but lack any systematic way to monitor, audit, or secure these interactions. Prompt injection attacks go undetected. Sensitive data leaks through model boundaries. Compliance with the EU AI Act becomes impossible without observability.

Existing solutions are cloud-dependent and platform-specific. Patronus is different: a model-agnostic, device-local AI security layer that works across every tool, every model, and every deployment - without sending a single byte to the cloud.