AI Security Is Never Finished: Building the Continuous Red Teaming Loop 

AI security testing is fundamentally different from traditional software security because AI systems continuously change in production, making past test results unreliable indicators of current safety. Red teaming (simulated attacks to find vulnerabilities) must be ongoing rather than a one-time checklist, since model behavior, prompts, data sources, and attacker methods all evolve constantly.