OpenText launches cybersecurity cloud with AI threat detection and response capabilities

OpenText today announced OpenText Core Threat Detection and Response, a new AI-powered cybersecurity solution for threat detection to be generally available with Cloud Editions 25.2. 

OpenText Core Threat Detection and Response will be available on Microsoft Azure. The solution is deeply integrated with Microsoft Defender for Endpoint, Microsoft Entra ID, and Microsoft Security Copilot to empower organizations to stop attacks quickly and efficiently before damage occurs. Furthermore, OpenText has a threat integration studio that allows customers to integrate and ingest telemetry from other network solutions, applications, security tools, and enterprise technologies into OpenText Core Threat Detection and Response.

"Enterprises need a way to continuously adapt threat analysis to the unique behaviors of their organization without further straining security teams," said Muhi Majzoub, OpenText EVP, Security Products. "OpenText Cybersecurity Cloud represents a significant leap forward in advanced threat detection and investigation, offering a solution that is easy to use, implement, and maintain. Our composable open XDR architecture ensures that the solution can easily work with existing security tools customers may have for identity management, data loss prevention, or endpoint protection. We are also integrating our threat detection solutions with OpenText Content Management through easy integration kits to provide customers insights across applications, endpoints, and networks. This is part of our broader strategy to deliver holistic security solutions that protect the entire attack surface."

In summary, OpenText Core Threat Detection and Response delivers:

• Elevated Security Posture: Uses hundreds of AI algorithms to dramatically enhance detection capability and accuracy, helping organizations to improve their security posture without the need for complex security stack overhauls.
• Rapid Detection and Elimination: Advanced anomaly detection that dynamically adapts to changes in operating environments and ensures contextually relevant threat detection. With multi-cloud integrations, OpenText's automatic correlation of anomalies significantly reduces the time needed to uncover critical threats.
• Adaptive Learning: Powered by advanced machine learning models, the platform continuously evolves with each organization's unique environment and insider threat landscape, improving detection accuracy over time.
• Simplified Deployment: This composable solution seamlessly integrates with Microsoft and other cybersecurity tools, reducing setup time and delivering immediate value. The built-in Cybersecurity Aviator translates AI-generated threat detection insights and alerts into plain language for SOC analysts, enabling faster preventative actions.
• Cost Prevention and ROI: The solution proactively hunts for threats to help organizations reduce their potential exposure to multi-million-dollar incidents. Also, working alongside other security tools, this solution aims to maximize the value and ROI of prior investments for customers.

OpenText Core Threat Detection and Response is currently available as a limited release to select customers.