Modeling the Threat and Defining Success Metrics Manual vs Automated Attack Techniques: An Actionable Taxonomy Running Focused Jailbreak and Fuzz Campaigns at Scale From Findings to Fixes: Triage, Prioritization, and CI Integration Practical Protocols: Checklists, Playbooks, and Example CI Steps Models fail on the attack surface first — not in production. Treat adversarial testing as an engineering discipline: define the enemy, measure outcomes, automate discovery, and convert each failure into a test that never regresses. The pain is specific: your assistant occasionally refuses correctly, sometimes obeys dangerous instructions, and at other times leaks context from private documents. That inconsistency translates to legal risk, lost customer trust, and emergency patches that break functionality. What you need are reproducible adversarial tests that map to concrete mitigations and fit into your release pipeline — not one-off hack sessions.…