Learning path · Guardrails & Safety · 79
Red Teaming
Adversarial testing to discover jailbreaks, data leaks, and unsafe tool use before attackers do.
Why it matters
- Proactive safety beyond static guardrail lists.
- Required cadence as models and features evolve.
- Findings should feed eval sets and rails rules.
Key ideas
- Adversarial prompts
- Automated attack suites
- Severity triage
Red teaming simulates motivated users and automated attack generators probing injection, bias, and exfiltration paths. Schedule before major launches and after model upgrades. Classify findings by exploitability and blast radius. Convert repeatable exploits into permanent eval cases and programmatic rail triggers. Track time-to-fix for critical findings with the same urgency as production Sev-1 defects affecting paying customers. Validate changes on production-like eval slices before rollout. Feed confirmed exploits into permanent regression suites within one sprint.
Updated 2026-08-09 · Full learning path