Securing Patient Data with Behavior Analytics

The healthcare sector is in crisis. Stolen healthcare records are worth ten times more than credit card numbers on the black market and hackers are following the cash.

Meanwhile, healthcare companies continue to rely on manual auditing methods or simple, rule-based security event logging. These methods can be marginally effective at helping organizations meet basic compliance needs, but they do not protect patient data from insider threats, advanced persistent or targeted cyber attacks.

Learn how to leverage the latest advances in user and entity behavior analytics (UEBA), machine learning and artificial intelligence to identify real threats to patient data, automatically and accurately, in near-real time.