AI is reshaping how organizations operate, but it’s also widening the surface area attackers can exploit.
OpenText is tackling that challenge head-on with new cybersecurity capabilities designed to help enterprises build AI systems that are not just powerful - but accountable, governed, and secure.
With its
Cloud Editions (CE) 25.4 release, OpenText has introduced a set of updates under its Cybersecurity portfolio that connect the dots across identity, data, applications, and security operations. The idea is simple but overdue: security shouldn’t sit outside the AI workflow - it should be built into it.
At the core of this release are new services for
threat detection,
identity management, and
application protection that work together to create a unified security fabric across hybrid environments. That means the same AI tools that help teams move faster can now operate within the same guardrails that keep sensitive data safe and systems compliant.
Unifying Identity and Access Across Hybrid Environments
Managing identity across fragmented systems remains one of the hardest parts of enterprise security. OpenText’s new Core Identity Foundation addresses that by providing a single layer of control that spans on-premises, cloud, and legacy environments. It follows a Zero Trust model, enforcing least-privilege access by default and continuously verifying users and systems.
Because it’s delivered as an Identity-as-a-Service (IDaaS), organizations don’t need to rebuild their infrastructure to gain these controls. The platform centralizes identity stores and permissions management, reducing the complexity that often leads to misconfigurations - the quiet culprits behind many breaches. For hybrid and regulated environments, that simplification could mean the difference between being secure and being exposed.
Embedding Security into the Development Cycle
Security debt has long been a cost of speed in software development. With Application Security Aviator 25.4, OpenText is aiming to close that gap. The feature uses AI-driven auto-remediation to fix code vulnerabilities in minutes, directly within DevSecOps pipelines. Developers can apply validated, automated fixes through the Fortify Command Line Interface (fcli), keeping security aligned with release velocity.
This move reflects a growing recognition that security can’t be an afterthought, especially when organizations are deploying AI models that process sensitive or proprietary data. Embedding these protections early means fewer last-minute scrambles and more confidence that software is built right from the start.
Detecting Threats with Context
As security teams deal with more data and faster-moving threats, visibility is everything. Core Threat Detection and Response brings behavioral analytics into the SOC, allowing analysts to detect and investigate anomalies in real time. Combined with Data Privacy and Protection, which encrypts data at rest and in transit, the new platform creates a security posture that’s both proactive and adaptive.
For organizations that want expert backup, OpenText also offers Managed Security Services, including Managed Extended Detection and Response (MxDR) and PCI-DSS attestation. These services give teams additional eyes and automation to keep up with compliance and respond faster to incidents - all without expanding headcount.
The message behind OpenText’s latest release is clear: AI’s potential can’t come at the expense of trust. Every layer of an enterprise, from identity and applications to data pipelines and governance, needs to be secure by design.
By embedding AI directly into its security products and connecting them through a single, unified framework, OpenText is helping enterprises take a more measured and mature approach to AI adoption. It’s not just about defending systems - it’s about building a foundation of confidence where AI can thrive responsibly.
