... 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 ...

... 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 ...

... from this amazing community. As enterprise AI and LLM adoption scales, I noticed a huge bottleneck: adding robust security layers almost always introduces crippling latency. For autonomous agents and real-time AI, that s a dealbreaker. So, I built Aegisora a zero-latency runtime security proxy designed specifically for AI systems. It provides real-time threat detection and governance without slowing down performance. We are officially open-sourcing the core architecture on GitHub on August 21st. Before the launch ...

... tool call parameter, enters an infinite reasoning loop, or gets subtly manipulated by an indirect prompt injection, tracing why it happened at runtime is a nightmare. Traditional logs just show a wall of async LLM requests. While building Aegisora , we realized that observability and security for agents can't be treated like traditional web apps you need real-time runtime inspection and deterministic guardrails. I m curious to hear from builders here: What is your current strategy for monitoring ...

... move rapidly from experimental chat interfaces to fully autonomous agents with direct API access, runtime security is becoming a massive blind spot. While building Aegisora (our open-source, zero-latency runtime proxy), I constantly hear terrifying stories from engineering teams about agents trying to execute unauthorized API calls, looping endlessly, or silently leaking PII because static guardrails and prompts failed. I want to hear your engineering war stories: What broke when you gave your AI agent too much autonomy ...