Insider attacks can be detected manually by evaluating user behavior. Is this statement true or false?

The statement is true. Insider attacks, which involve malicious actions taken by individuals within an organization, can indeed be detected manually by evaluating user behavior. This process typically entails monitoring and analyzing user activities, access patterns, and changes in behavior that deviate from the norm. For instance, if an employee who usually accesses certain files during work hours suddenly begins accessing sensitive data late at night or starts downloading excessive amounts of information, these anomalies may indicate potential insider threats.

Manual evaluation of user behavior requires a comprehensive understanding of normal operations within the organization and can be aided by tools that help track and log user actions. While automated systems can facilitate the detection of such threats, particularly in larger environments, human analysis remains a valuable method. It allows for contextual understanding and a nuanced interpretation of actions that might otherwise seem benign. Therefore, this approach is an important component of an organization's strategy for identifying and mitigating insider threats.