How to secure AI agents without killing latency?

Hey Product Hunt community! 👋

As we see more companies moving from simple LLM wrappers to fully autonomous AI agents, a massive security gap is opening up: How do you safely give an AI agent access to your internal VPC, APIs, and databases?

Traditional firewalls and static IAM roles aren't built for non-deterministic AI behavior. If an agent hallucinates or makes a high-risk API call, a simple "block" might break the whole pipeline.

We built Aegisora to fix this. It’s a zero-latency runtime security proxy that sits between your AI agents and your data. The coolest part? When it detects a high-risk action, it uses Asynchronous Human Escalation to pause the request and ask for human approval before executing.

We are officially going open-source and dropping our GitHub repo on August 21st.

Before we launch, I’d love to hear from the makers here: What is your biggest fear/bottleneck when deploying AI agents to production right now? Data leaks? Prompt injection? Rogue API calls?

Let’s discuss in the comments! 👇 (And let me know if you want a ping when the repo goes live on the 21st!)