How machine learning is used in Cybersecurity? [in 2021], Malick Sarr

From insider threats to abuse of privileges and management to hackers, humans are important and diverse carriers of cyber risks. Therefore, Machine Learning help detect changes in the way users interact in the IT environment and describe their behavioral characteristics in the attack environment. Despite high marketing requirements, the reality is that the corporate security environment is a huge and dynamic network. And managers must constantly monitor, audit, and update based on continuous, unpredictable, internal, and external threat vectors. ML introduces various enhancements in the ability to detect, investigate, and respond to threats. But it is a combination of personnel and technology that can manage a full range of threats in the ever-evolving security environment.