Artificial Intelligence (AI) can be a force for good in our future, that much is obvious from the fact that it's being utilized to advance things like medical research. The thought that somewhere out there, there's a James Bond-like villain in an armchair stroking a cat and using generative AI to hack your PC may seem like fantasy but, quite frankly, it's not. Cyber security experts are already scrambling to thwart millions of threats by hackers that have used generative AI to hack PCs, steal money, credentials, and data, and, with the rapid proliferation of new and improved AI tools, it's only going to get worse. The type of cyberattacks hackers are using aren't necessarily new. They're just more prolific, sophisticated, and effective now that they have weaponized AI.

Our approach to time series anomaly detection is computationally efficient, automatically learns how to update probabilities and adapt to changes in data. As we describe in the next section, this approach has yielded successful attack detection at high precision. The proposed time series anomaly detection model was deployed and utilized by Microsoft Threat Experts to detect RDP brute force attacks during threat hunting activities. A list that ranks machines across enterprises with the lowest anomaly scores (indicating the likelihood of observing a value at least as large under expected conditions in all signals considered) is updated and reviewed every day. See Table 1 for an example.