[Uzmanali]

One big gap I see is context-aware filtering and memory control.

Many tools block clear prompt injections, but few detect contextual misuse. This happens when users gradually direct the model over many sessions or subtly draw out its internal logic.

Your middleware sounds promising; I'm excited to see where it goes.

[sharmasachin98]

Totally agree, context-aware misuse is a big gap, and one we’re actively exploring. We’ve built session-level risk tracking and some early logic to detect drift over time, but it’s definitely still evolving.

LLM security isn’t a one-and-done, it’s an ongoing process, especially as attack patterns keep getting more subtle.

If you’ve seen other use cases or edge cases worth considering, we’d love to hear them. And feel free to ask more questions, really appreciate your input!