Threat Predict transforms the overwhelming flood of security logs into clear, predictive insights. Built for Federal SOCs, it uses advanced AI and machine learning to establish behavioral baselines, detect anomalies, and surface threats before they escalate. With a unified SOC portal, integrated open-source intelligence, and Zero Trust–ready architecture, Threat Predict empowers cyber teams to shift from reactive response to proactive defense.

Threat Predict ingests your security data, enriches it with context from assets, users, and access patterns, and applies machine learning to define what “normal” looks like. The system then flags anomalies — unusual logins, lateral movement, odd-hour activity — and correlates them with open-source intelligence. Analysts get real-time alerts in a unified SOC portal, turning noise into clarity and enabling proactive defense.