False positives are noise, but if the tool is filtering out its own noise via AI, it might work. Or you could take a high false positive/low false negative tool and instead of bothering humans with its noisy output, have AI investigate and evaluate if found issues are false positives or not.

This is why you should have several of them checking against the same rulesets and cross-check them to reduce chasing of false positives.