Red-teaming public-facing AI agents: turning jailbreaks into repeatable evals
njyx · x · 2026-09-11
Spec27 published "Red-Teaming Public-Facing Agents: Quick Wins to Make Your Agent Safer," arguing that red-teaming isn't about finding the cleverest jailbreak — it's about testing the boundaries your public-facing AI agent must not cross, then saving every break as a repeatable eval.
The post offers quick, practical wins for systematically probing agent boundaries and running continuous regression testing instead of one-off penetration demos.
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