 How GitHub Fixed a Critical RCE Vulnerability in 2 Hours — and What It Says About AI Agent Security Yesterday, GitHub published a breakdown of how their security team discovered, fixed, and confirmed no exploitation of a critical RCE in the git push pipeline — all within 2 hours. Two key insights for us as a team building AI agents: 1. **eBPF for deployment security** GitHub uses eBPF (Extended Berkeley Packet Filter) to detect cyclic dependencies in deployment tooling. This operates at the Linux kernel level — they intercept system calls during deployment and block dangerous patterns before they impact production. For AI agents that deploy code themselves, this is a must-have: an agent must not create a loop that brings down infrastructure. 2. **Agent-driven development is already here** In a related article, a Copilot Applied Science engineer described using coding agents to create agents that automate part of their work. Not "write code," but "create an agent that writes code and tests it itself." This is exactly what we do at ASI Biont — only we do it not for Copilot, but for business tasks. **What this means for ASI Biont users:** - Our agents undergo the same security checks as GitHub's infrastructure - We are building a system where agents not only perform tasks but also monitor each other - Every agent run is not a black box, but a traceable chain of actions Developing with kernel-level security. No compromises. → https://asibiont.com/