In almost every conference, research paper, and innovation talk, the conversation inevitably turns toward AI—how it can be leveraged or how it is already transforming industries. While classical machine learning (ML) may not sound as cutting-edge compared to the latest AI advancements, it remains highly relevant. In fact, despite the explosive growth of AI technologies, classical ML algorithms continue to drive significant risk reduction at scale, particularly in domains like Identity and Access Management (IAM).