Integrating Quantitative and Qualitative Reasoning to Anticipate Threats
Effective insider risk management requires more than monitoring digital footprints—it demands understanding the human factors that drive insider threats. This presentation explores scientific foundations for modeling behavioral and technical factors underlying insider risk and how organizations can anticipate threats through advanced analytics that integrate human judgment with AI capabilities.
Led by Dr. Frank Greitzer, Chief Behavioral Scientist at Cogility Software, this recorded session shows how holistic risk management strategies can identify potential sabotage, espionage, and other insider threats before they materialize. By combining quantitative data analysis with qualitative behavioral insights, organizations can move beyond reactive approaches to proactive insider threat detection that addresses the full spectrum of internal security risks.
Watch now to learn cutting-edge predictive analytics techniques that enhance insider risk management effectiveness.