Insider Risk Summit West

Did you miss this timely talk on Strategies to Increase Insider Risk Model Accuracy and Reduce Bias? Check it out!

Presentation: Mitigating Bias in Insider Risk Management Programs

Insider Risk Scoring: Strategies to Enhance Fairness and Accuracy

Insider risk management programs face the challenge of cognitive and technical biases that can misidentify employees as threats while missing actual malicious actors. Dr. Frank Greitzer, Chief Behavioral Scientist at Cogility Software, discusses proven strategies to enhance fairness and accuracy in insider threat risk scoring while maintaining organizational security and employee trust.

This presentation provides practical approaches to identifying and mitigating cognitive biases like confirmation bias, anchoring bias, and automation complacency that distort threat assessments, implementing expert judgment-based risk modeling that improves decision accuracy across espionage, sabotage, data theft, and workplace violence scenarios, and balancing human expertise with AI tools to create more confident, transparent, and fair risk assessments.

See firsthand how leading organizations are transforming their insider risk programs from reactive monitoring to proactive threat prevention.

To learn more, the buttons below will help you navigate to various resources and presentations on related topics that are available in the Cogility Resource Center, blog articles, and training videos.