Perspectives on AI governance, autonomous agent safety, and building trustworthy systems. Written by the EngramForge team.
Why system prompts, alignment tuning, and kill switches are incomplete tools for governing autonomous agents — and what structural governance actually looks like.
A two-prompt pipeline for LLM-assisted security analysis of autonomous agent systems — the design decisions that matter, what the output looks like, and what we don't know yet.
The verification gap between configured defenses and defenses that hold under actual attack — why standard tests aren't enough, and what the oracle pattern looks like.
Why the failure mode of your autonomous agent is an ethical commitment — not just a reliability decision — and why it needs structural enforcement.
The empirical evaluation we're designing to test LLM-assisted security analysis — what we're measuring, why coverage is hard, and why we're sharing the design before the results.