Insider Threat Summit 2024
March 27–28, 2024
Monterey, Califonia
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Get access to Dr. Greitzer's Summit presentation and download additional content below.
Adventures in Insider Threat Predictive Analytics
Based on two decades of research on insider threats, the presentation discusses technical challenges and recent insights in developing and testing behavioral science based models for proactive insider threat mitigation.
Dr. Greitzer describes the SOFIT insider threat indicator ontology, which provides a foundation for hierarchical, pattern-based models; reviews what expert knowledge elicitation studies have revealed about dynamic properties of potential risk indicators; and discusses recent approaches for developing and testing pattern-based classification models that reflect how threat analysts tackle the insider threat assessment problem.
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Cogynt provides a fundamentally different approach to detecting and countering insider threat risk. Other solutions primarily rely on user activity monitoring, which only provides half of the picture since this approach discovers technical indicators of risk only. Cogynt by contrast takes a whole-person approach to detecting risks by ingesting both technical and social indicators of risk, mapping and weighting these risk indicators to behaviors, and creating a whole-person profile.
By taking this approach, Cogynt allows organizations to have a more accurate and holistic picture of insider threat risks - providing a window of opportunity to get left of harm.
Please contact us if you’re interested in piloting Cogynt.