Organizations Adopt Red-Teaming And Testing For AI Agents
Forrester analysts advise organizations to rigorously test AI agents before public deployment, following recent high-profile bot failures such as Chipotle's assistant and Washington State's hotline. They recommend baseline end-user testing, red teaming (security and behavioral), synthetic and continuous testing suites, and representative user champion groups or canary rollouts to catch regressions and inappropriate behaviors prior to launch.
Key Points
- 1Recommend testing all bot features and use-cases manually before public launch to catch obvious failures.
- 2Advise practicing red teaming for security and behavioral failures to reveal unforeseen, inappropriate agent behaviors.
- 3Encourage synthetic and continuous testing plus representative user champion groups to ensure robustness post-deployment.
Scoring Rationale
High practical value and industry-wide applicability due to Forrester backing, but limited novelty beyond reiterating established best practices.
Sources
Public references used for this report.
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