MINIMIZING INSIDER THREATS THROUGH BEHAVIOR ANALYTICS AND MACHINE LEARNING

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Presented at CSO50 2017 by

Jennifer Darwin

Offering a variety of solutions that help students pay for their college education, Sallie Mae strives to ensure their customers and workforce members’ sensitive data is not at risk. Since traditional approaches to security can’t detect attacks by malicious insiders (or outsiders impersonating insiders), Sallie Mae took a new approach combining user behavior, data analytics and predictive anomaly detection to increase awareness of potential threats. Join us to understand how they now use user behavior and asset analytics to gain better visibility and security breach prevention. Sallie Mae Minimizing Insider Threat