Any tips on safely using AI for test generation? How do you avoid potential security or quality risks?

Whether its Code Generation or test generation, gates need to be built in for overview. For AI generated test , the tester should be reviewing the test and maybe even editing it for perfect use.
Also we have a mandatory code review for all code or tests so we now have 2 pairs of eyes.

Follow are a some initial thoughts:

-Operationalize governance mechanisms to address assurance concerns, including quality and security.
-Ensure that all initial AI lifecycle phases (inception, elaboration, construction, etc.) involve human oversight and accountability for outcomes, regardless of the tools employed.