Automated Risk-Based Learning for Behavior Change

This document is a guide that outlines the strategies for mitigating human risk in cybersecurity through automated risk-based learning. It discusses the challenges organizations face, such as the human element in security incidents and the lack of dedicated resources. The guide presents the DICE methodology, which includes detecting human risks, intervening with relevant content, evaluating effectiveness, and motivating behavior change. It emphasizes the importance of tailored educational experiences for high-risk individuals, using data-driven insights to engage employees effectively. The document also details how organizations can sustain behavior change by continuously monitoring threats and providing relevant training. Additionally, it highlights the integration of behavioral analytics and real-time phishing protection to enhance security awareness among employees. The guide aims to help organizations build a risk-driven education program that simplifies behavior change and reduces human risk.