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Explore a conference talk that revolutionizes cybersecurity training by applying cognitive science and data analytics to human vulnerability management. Learn how to identify and address four predictable human biases that attackers consistently exploit: optimism bias, Dunning-Kruger effect, and technology bias, with statistical evidence showing tech-biased users click phishing links 140% more frequently. Discover neuroscience-based feedback loops for continuous "people-patching" that can reduce phishing susceptibility by 8× while tripling incident reporting rates. Examine large-scale datasets from phishing simulations and perceptual surveys to understand behavioral patterns and develop targeted interventions. Master the transition from traditional awareness-based training to motivation-driven approaches, complete with ROI justification frameworks for organizational implementation. Gain practical methodologies for creating sustainable behavioral change in cybersecurity practices through evidence-based human factor management techniques.
Syllabus
- Date/Time: Monday, 10:00–10:20
Taught by
BSidesLV