Now, lets take a look at this in action…
Combined with these strategies, you can configure Highflame to enforce restrictions.
For example, you might want just to inspect LLM requests and reject any calls to LLMs that are suspected of containing sensitive information:
.webp)
A powerful feature for leak detection is to notify your security team when sensitive data is detected:
Ready to move your LLM Applications to production? Make sure your data is safe.
At its core, Highflame's architecture embraces a zero-trust security philosophy, gearing it for production deployment to help Enterprises transition their LLM Applications from prototype to production with robust policy & security guardrails around model use. It can operate as a security firewall at the network edge, protecting against data leaks. We are working on advanced algorithms and real-time monitoring capabilities to detect and block suspicious data transmission activities, further bolstering this protective shield.
Learn more today!
