OpenText Threat Detection and Response
Governance, Risk & Compliance
Overview
OpenText Threat Detection and Response (TDR) uses patented, self-learning behavioral analytics to detect insider threats, credential misuse, and subtle anomalies that evade rule-based tools. It provides continuous monitoring of user and entity behavior across network, cloud, and endpoint environments, using AI to build behavioral models and detect deviations that indicate threats. The platform integrates with OpenText's broader security and information management portfolio, providing comprehensive threat detection and automated response capabilities.
- Pricing model
- Subscription
- Deployment
- SaaS (vendor-hosted), Self-hosted / on-premises
- Regions served
- Global
- Categories
- Subscription, Software & technology, Cyber threat detection & response, Self-hosted / on-premises, Predictive / classical ML, Horizontal platform, SaaS (vendor-hosted), Identity & access security, Data security & privacy, Governance, Risk & Compliance, Enterprise / custom quote
- Last updated
- 2 October 2026
- Published
- 2 October 2026
Use cases
Deployment options
Data sources & provenance
Where this information came from, how it was checked and when it was last looked at. “Last updated” records a change to the record — it does not mean the record was verified.
- Data quality
- Data quality: Editorially Reviewed
- Primary source
- opentext.com
- Sources cited
- 2
- Last reviewed
- 27 September 2026
- Last updated
- 2 October 2026
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