Gurucul STUDIO™ Enables IT Security Teams to Build Custom Machine Learning Models that …

Allows Enterprises and Government to Create Behavioral Models without Vendor Input; Graphical Interface Requires No Coding, Supports Any Data LOS ANGELES–(BUSINESS WIRE)–Gurucul, a leader in user and entity behavior analytics (UEBA) and identity analytics (IdA) for on-premises and the cloud, today announced Gurucul STUDIO™ which enables customers to easily build advanced machine learning behavior models in-house to detect anomalies for predictive risk scoring. Gurucul STUDIO’s graphical interface enables security professionals with no coding and a minimal knowledge of data science to create custom models via a guided step-by-step process for attributes from any on-premises or cloud data source. Machine learning models go beyond rules, patterns and signatures to identify access risks and unknown threats by detecting when users deviate from their and their peers normal base lines of activity. Gurucul…


Link to Full Article: Gurucul STUDIO™ Enables IT Security Teams to Build Custom Machine Learning Models that …

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