Security's Holy Grail: Predicting Attacks Before They Happen

By leveraging existing data on employees’ past security decisions, teams can create a picture of which employees are the most at risk to make a mistake or fall for an attack. Research findings from a 200k employees data-set reveal trends into the most vulnerable populations. This session will share key findings, how to measure human risk, and explain how to apply findings to reduce incidents.