Prelert, a leading provider of machine learning anomaly detection, and Blue Coat Systems, Inc., a market leader in enterprise security, announced a partnership to integrate Prelert’s machine learning analytics into Blue Coat’s portfolio of security solutions. With the Prelert solution, Blue Coat can further enhance its advanced threat protection offering with analytics designed to automatically distinguish normal and abnormal behaviors essential to identifying today’s advanced threats.
Prelert’s machine learning anomaly detection provides organizations with early detection and rapid response,” said Steven Schoenfeld, senior vice president, product at Blue Coat Systems. “Their advanced analytics will complement our existing capabilities, offering our customers stronger protection against the business impact of cyber threats.”
Prelert’s Anomaly Detective engine uses advanced analytics based on unsupervised machine learning to process and cross-correlate millions of data points in real-time, automatically learning normal behavior patterns and identifying statistical outliers that may indicate successful breaches or data exfiltrations. With an open API, Prelert gives enterprise application developers, cloud service providers and technology vendors, like Blue Coat, the ability to utilize its machine learning engine in their products and environments.
The security market is becoming increasingly aware of the need for advanced analytics and we’re seeing this revelation firsthand through growing enterprise sales and increasing vendor interest,” said Mark Jaffe, Prelert’s CEO. “Blue Coat’s decision to integrate Prelert’s machine learning anomaly detection is yet another testament to our market-leading technology.”
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