What does AI hold in store about cybersecurity threat detection?

In the recent past, I have been digging deep into how AI is transforming cybersecurity- and it is, frankly, a mind-bender. Long since gone beyond those old school antivirus programs that only compared files to a file list of bad files. Today, AI systems are capable of being trained what normalcy is on your network and alert you the moment something is amiss- even an entirely novel form of attack. Suppose: how often did the old instruments miss even the higher hack because the hacker used a technique never attempted? AI turns the table whereby one considers the behaviour patterns and not just the fixed signatures.

AI can now track employee behaviors like logins, file access, process, etc. and identify deviations in real time. Consider the case of Sarah in the accounting department who suddenly transfers terabytes of very sensitive financial data in a coffee shop thousands of miles away at 3 A.M. The system senses that something is not right at once. But this leads to one very hard question, are we getting complacent with this level of surveillance? At what point is good security and good privacy?

The other extreme advantage is speed. A cyberattack can be unfolded within a matter of minutes (sometimes even seconds) but the AI can react to it in microseconds, automatically isolating infected machines or even blocking malicious traffic without any human analyst seeing a difference. Better still, such systems are getting smarter on false positives. They are also shown how to distinguish between suspicious and normal human inconsistency instead of crying wolf whenever someone does something that appears a little abnormal.

I would like to know: What has been your experience with AI driven security tools? Were the false positives lower or have we finally learnt to play with alert fatigue this once in a smarter fashion?