OpenText Core Behavioral Signals vs. Forcepoint Behavioral Analytics

OpenText™ Core Behavioral Signals is a cutting-edge threat detection platform that combines user entity behavior analytics (UEBA) with 100% online, unsupervised machine learning to proactively identify insider risks, advanced persistent threats, and novel cyberattacks. Unlike traditional security systems that rely on static rules, this solution evolves with organizational behavior, enabling it to detect anomalies that would otherwise go unnoticed. Its advanced machine learning models analyze billions of events, distilling them into actionable threat leads that help security analysts focus on the most critical issues. The platform offers comprehensive dashboards that provide an overview of organizational risk, detailed anomaly timelines that track behavior changes over time, and fully transparent alerts backed by raw event data. Analysts can collaborate in real time, using comments, visual flags, and tagging to accelerate threat hunting and investigation. OpenText Core Behavioral Signals integrates seamlessly with existing SOAR platforms and threat ticketing systems via APIs, enabling automated incident response. It also maps anomalies to MITRE ATT&CK tactics, providing insights into potential vulnerabilities within the security stack. Additionally, OpenText offers bundled Threat Hunting Services that combine world-class analytics with expert human support. The solution’s automated maintenance and tuning reduce the burden on security teams by eliminating manual updates and threshold adjustments. Overall, Core Behavioral Signals enhances the efficacy and efficiency of security operations while significantly reducing the cost and duration of insider threat remediation.

By combining visibility, analytics, and automated control into a cohesive solution, security analysts can enhance their workflow efficiency. The implementation of UEBA’s automated policy execution and detailed user risk assessment simplifies intricate processes. Integrating DLP with behavioral analytics provides an extensive view of user intentions and behaviors within the organization. You can choose between using existing analytics models or customizing risk assessments to meet your unique organizational needs. A quick overview allows for the identification of risk patterns by examining users in order of their risk ratings. By leveraging the complete scope of your IT ecosystem, including unstructured data sources like chat, you can attain a thorough understanding of user interactions throughout the enterprise. Insights into user intent are derived from comprehensive context facilitated by advanced big data analytics and machine learning technologies. Unlike traditional UEBA systems, this innovative approach gives you the ability to act on insights proactively, averting potential breaches before they escalate into serious issues. As a result, you can effectively protect your personnel and sensitive information from internal threats while maintaining swift detection and response capabilities. Furthermore, this robust strategy not only enhances security but also cultivates a safer organizational atmosphere for everyone involved. In doing so, it fosters a culture of vigilance and preparedness against potential security challenges.