Gurucul Unified Security and Risk Analytics is a data science driven platform that unifies key Cyber Defense Center functions to enable contextual, risk-prioritized decisions for threat detection and automation of security controls. It predicts, detects and prevents cyber security breaches by ingesting and analyzing massive amounts of data from virtually any source, including network, IT systems, cloud platforms, applications, IoT, and more. It provides a comprehensive view of user/entity behaviors and detects risky outliers using a library of advanced machine learning (ML) models and identity-centric data science, anomaly detection and predictive risk-scoring algorithms to identify the abnormal behaviors and activities that are indicative of security threats. By generating contextual, risk-prioritized alerts in real-time, it is used to automatically mitigate threats before damage can occur.