Evolving from Detective to Predictive Insider Threat Monitoring
Human behavior is complex, and it's the weakest link in the cybersecurity chain. This session explores how using an amalgamation of technology based on behavioral analytics and risk modeling can help organizations change the ways they view, perceive and remediate insider risk before it becomes a threat or an attack. By using technology that understands the rhythm of the people and the flow of data, organizations can build baselines of behavior, detect outliers and sniff out indicators of risk based on artificial intelligence, machine learning and a host of other behavioral models.
This session reviews:
- Understanding and adopting human behavior as a parameter for security controls;
- Building a behavioral baseline using AI and machine learning; and
- Applying risk-adaptive protections to insiders.