Using Machine Learning to Make Faster, Smarter Decisions About Insider Threats

Chances are you already have an established process for identifying attackers and blocking external threats. You've taken steps to reduce the likelihood of an attack by exercising good cyber hygiene and following key identity and access management (IAM) best practices, such as adhering to the principle of least privilege. An insider threat is when an insider's credentials and access are used, either deliberately by malicious actors or indirectly by criminals with stolen or acquired credentials, to illicitly obtain sensitive data from an organization. According to a recent SANS survey, 76 percent of security professionals ranked malicious, accidental or negligent insiders as the most damaging threat vector they face. Insiders all look the same, making them increasingly difficult to detect.