FortiInsight

OpenText™ Core Behavioral Signals is an advanced threat detection solution that leverages user entity behavior analytics (UEBA) and 100% online, unsupervised machine learning to identify behavioral anomalies within an organization. It enables security teams to detect insider risks, novel attacks, and advanced persistent threats without relying on predefined rules or manual updates. The platform continuously adapts to evolving organizational behaviors, improving threat hunter effectiveness and reducing false positives. Analysts can transform billions of events into a manageable number of actionable threat leads, enhancing efficiency. It also features dynamic dashboards and detailed anomaly timelines to provide clear insights into risk over time. Integration with existing security systems and APIs supports streamlined threat hunting and response.

Securing against unknown threats through user and entity behavior analytics. Discover abnormalities and unknown threats that traditional security tools miss. Automate stitching of hundreds of anomalies into a single threat to simplify a security analyst’s life. Use deep investigative capabilities and powerful behavior baselines on any entity, anomaly or threat. Automate threat detection using machine learning so you can spend more time hunting with higher fidelity behavior-based alerts for quick review and resolution. Rapidly identify anomalous entities without human analysis. Rich set of anomaly types (65+) and threat classifications (25+) across users, accounts, devices and applications. Rapidly identify anomalous entities without human analysis. Rich set of anomaly types and threat classifications (25+) across users, accounts, devices and applications. Organizations gain maximum value to detect and resolve threats and anomalies via the power of human and machine-driven solutions.