Machine learning (ML) offers a great deal of promise in improving security by greatly reducing human effort and lowering the time to detect, respond to, and recover from incidents. This whitepaper explores the data science-driven approach for employing machine learning in a security environment. When applied to user and entity behaviour analytics, the potential pitfalls of ML may be avoided. When used to user behaviour analytics; When applied for user and. entity behaviour analysis;Privilege account abuse; When. applied to. user and entities behaviour analytics. When applied. to ML, the. ability to identify and respond to an incident can be reduced to less time.”]
Source: https://www.bankinfosecurity.com/whitepapers/machine-learning-hype-vs-reality-w-4126