OpenText Unveils AI-Driven Threat Detection Platform

OpenText has introduced OpenText Core Threat Detection and Response, a new AI-powered cybersecurity solution set for general availability with Cloud Editions 25.2.

The platform, which will run on Microsoft Azure, features deep integration with Microsoft Defender for Endpoint, Microsoft Entra ID, and Microsoft Security Copilot. It allows organizations to ingest telemetry from various network solutions, applications, and security tools through a threat integration studio.

“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. “Our composable open XDR architecture ensures that the solution can easily work with existing security tools.”

The solution addresses the growing challenge of insider threats, which now cost organizations an average of $16.2 million annually according to Ponemon and Sullivan’s 2023 Cost of Insider Risks Global Report.

Key capabilities include:

  • Advanced anomaly detection that adapts to changing environments
  • AI algorithms to enhance detection capability without complex security stack overhauls
  • Machine learning models that evolve with each organization’s unique environment
  • Built-in “Cybersecurity Aviator” that translates AI-generated insights into plain language for SOC analysts
  • Seamless integration with existing Microsoft and other cybersecurity investments

The platform is part of OpenText’s expanded Cybersecurity Cloud, which addresses application and data protection, identity and access management, security operations, and digital forensics.

Currently available as a limited release to select customers, the solution aims to help organizations protect against both external and internal threats in an increasingly machine-to-machine attack landscape.

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