> How do you handle runtime security for autonomous AI agents? (Open-sourcing a solution in 48h 🛡️)

Hey Hunters! 👋

For the past few months, I've been deep in the trenches building Aegisora—a zero-trust runtime proxy for AI agents.

The biggest challenge I noticed in the current landscape: traditional security gateways break down when dealing with non-deterministic AI behavior. If you hard-block an LLM's tool call, the entire execution loop usually crashes.

To solve this, I built what I call an "Escalation Boundary." It dynamically intercepts a risky tool execution and holds the process state asynchronously until an admin approves or rejects it (Human-in-the-loop).

We are officially open-sourcing the core engine on GitHub this Friday, August 21st! 🚀

Before the launch, I’d love to hear from the makers here: For those of you building Agentic AI apps, how are you currently handling tool permissions and runtime security? >

Looking forward to hearing your strategies and sharing the repo with you all on Friday!