*From raw incident timelines to confident, evidence-grounded analysis — the engineering decisions behind Correlic's AI investigation layer.* In [Part 2](https://correlic.hashnode.dev/your-ai-agent-mad
Kernel-level security observability for AI coding agents
AI coding agents run on your machine with broad access to files, network, and system calls — but most developers have zero visibility into what they actually do. Correlic is building kernel-level security observability to change that. Using eBPF to trace every syscall, we detect anomalous behavior, correlate threat patterns, and give developers a real-time audit trail of AI agent activity. This blog documents the technical journey of building Correlic from the ground up — the engineering challenges, the failed approaches, and the breakthroughs in making AI agents transparent and accountable.
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