I know several companies working to apply AI for anomaly detection in this way. But such detection techniques have been attempted for over a decade with little success. I have not seen any indication the application of AI will push the success rate much further. The problem is with overcoming the cross over rate of false positive and false-negatives. Then there is the longer term risk of attackers figuring out how the AI makes its decision and then maneuvering to poison the learning or simply working beyond the learned bounds.