The IT Nerd

OpenText today announced a strategic partnership with S3NS, an alliance between Thales, a French leader in cybersecurity in Europe, and Google Cloud, to bring European organizations a trusted cloud platform based on Google Cloud technology, that meets the highest security and compliance criteria in France to offer strict data residency, regulatory compliance, and operational controls. 

The partnership delivers a hybrid trusted cloud architecture for Europe out of France, enabling organizations to keep their most sensitive data workloads within a locally governed environment, while securely leveraging hyperscaler cloud services for non‑sensitive workloads, innovation, and scale. 

This approach is designed to preserve full interoperability with global cloud platforms, ensuring French and European organizations can continue to benefit from hyperscaler innovation while meeting local regulatory obligations. 

The OpenText and S3NS trusted cloud capabilities meet stringent regulatory and operational requirements, leveraging OpenText’s operational and security experience from delivering government-grade cloud environments in multiple jurisdictions including FedRAMP-authorized, IRAP-assessed, and Protected B-aligned deployments and based on S3NS SecNumCloud qualified Platform, PREMI3NS, to create a hybrid trusted cloud offering designed specifically for France’s regulatory and jurisdictional requirements. This enables organizations in highly regulated industries, such as those managing sensitive citizen, patient, or financial data, to adopt cloud services while maintaining full compliance and control. 

With additional solutions to be evaluated for inclusion over time, the initial hybrid sovereign offering will include:

• Dedicated Private Cloud: OpenText Content Management and Documentum Content Management for highly sensitive data. 
• Sovereign SaaS: OpenText Core Archive for SAP Solutions offered as a multi-tenant service with European data residency. 
• Regulatory Compliance: Supports GDPR, SecNum 3.2, and other European data sovereignty requirements. 

OpenText announced today that it will make a number of its world-leading enterprise data and AI solutions available on the AWS European Sovereign Cloud, a new independent cloud for Europe. 

By making its hybrid sovereign cloud offering available via the AWS European Sovereign Cloud, Canadian-based OpenText expands its ability to provide a hybrid sovereign cloud in Europe, giving customers the flexibility to leverage the cloud capabilities of AWS while keeping sensitive data and governance firmly anchored within European boundaries. 

OpenText Content Management, OpenText Documentum Content Management, OpenText Core Application Security and OpenText Core Service Management will be available on the AWS European Sovereign Cloud, further supporting OpenText’s growing European client base. OpenText’s solutions deliver structured, secure content management, making data ready for AI-powered analytics and automation that accelerate data-driven decision-making; while providing clients with the same security, availability, and performance they expect from AWS. This enables OpenText customers to meet stringent operational autonomy and data residency requirements within the European Union (EU). 

The AWS European Sovereign Cloud is a fully featured, independently operated sovereign cloud backed by strong technical controls, sovereign assurances, and legal protections designed to meet the needs of European governments and enterprises. The AWS European Sovereign Cloud infrastructure is entirely located within the EU and operates independently from existing Regions. Customers using the AWS European Sovereign Cloud will benefit from the full power of AWS including the same service portfolio, security, availability, performance, familiar architecture, APIs, and innovations such as the AWS Nitro System. 

Customers can begin planning their transition to the AWS European Sovereign Cloud today. 

Tal Levi Joseph, a VP of Product & Engineering, Application Development & Maintenance (ADM) at OpenText has shared a number of predictions for 2026.

For context: There’s little doubt that AI has completely transformed the developer experience in the last few years. According to OpenText research, 89% of organizations are piloting or deploying GenAI–augmented workflows, but half (50%) report a lack AI/ML expertise (unchanged from 2024). Looking ahead to 2026, Tal predicts that the developer experience will become more complicated as they adapt to increasingly AI-driven workflows.

• Engineers Become Architects of Agentic AI Teams: Engineers will act as orchestrators of virtual AI agent teams, defining each agent’s role, rules, tools, and collaboration patterns next year. Their job will shift from direct execution to designing systems of intelligence that align with business outcomes. Success will depend on setting checkpoints and KPIs that guide autonomous workflows and adjusting them when they drift. They will also design new testing methods to validate non-deterministic, agentic systems.

• The Developer Experience Will Get Messier Before It Gets Smarter: AI will co-write more code, shape architecture, and make development messier before quality and efficiency balance out. Early adopters will pay a temporary quality cost as they adapt to AI-driven workflows. Smart organizations will connect AI copilots to broader context and institutional knowledge, linking requirements, tests, and historical defects, so productivity gains translate into better delivery. Over time, self-improving and self-healing pipelines will turn productivity into lasting quality.

• DevSecOps Shifts from Scanning to Prediction: DevSecOps will embed threat modeling and prediction across the entire lifecycle. Instead of reacting to vulnerabilities, teams will anticipate risks based on code changes, dependencies, and historical data. Compliance, security, and dependency intelligence will converge to give end-to-end visibility into relationships and potential exposures. This predictive approach will sustain development speed while strengthening trust and governance in an AI-driven SDLC.

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Perri Burrage Senior Account Manager +1587 577 1337

OpenText today announced an expanded partnership with Google Cloud to deliver transformative solutions across artificial intelligence (AI), data privacy, and sovereign cloud infrastructure. The collaboration combines OpenText’s enterprise information management expertise with Google Cloud’s AI and infrastructure technologies to help organizations solve complex business challenges with confidence and agility.

Gemini Enterprise: Creating Real-World Impact with AI

OpenText will leverage Google’s Gemini models and Vertex AI to drive new AI use cases and deliver a suite of intelligent agents in Gemini Enterprise, empowering customers to tackle high-value business problems in industries such as insurance, financial services, and retail. With Gemini Enterprise, organizations will be able to use AI agents to automate claims processing, enhance fraud detection, drive data compliance, and streamline regulatory reporting—delivering measurable improvements in speed, accuracy, and operational efficiency. 

Elevating Data Security with OpenText Voltage and BigQuery 

OpenText is also introducing a new data protection solution for the retail sector, which integrates OpenText’s Data Privacy and Protection (Voltage) platform with Google BigQuery. This joint offering delivers advanced encryption and data protection for sensitive data at rest, in transit, and as it feeds AI models—ensuring compliance with evolving privacy regulations. 

Sovereign Cloud and AI: Empowering Customers with Control, Choice and Security Across the Globe 

To meet the growing importance of data sovereignty, OpenText’s Private Cloud offerings now integrate with Google Cloud’s Sovereign Cloud solutions. This enables organizations in regulated industries to meet stringent compliance requirements while maintaining control over where and how their data is stored and processed. 

This partnership underscores OpenText and Google Cloud’s shared vision for trusted, secure, and scalable AI and cloud solutions that meet the needs of modern enterprises. 

OpenText today announced its vision for the future of enterprise AI with the introduction of the OpenText AI Data Platform (AIDP). OpenText AI Data Platform addresses the convergence of data and AI to deliver secure and scalable enterprise capabilities.

As volumes of proprietary data grow exponentially, organizations face mounting pressure to manage, secure, and activate their private information. Moreover, according to McKinsey’s annual State of AI study, 51% of organizations using AI have experienced at least one negative consequence and inaccuracy, underscoring the need for information governance. OpenText’s innovation roadmap focuses on helping customers establish contextual data foundations to fuel accurate AI results to accelerate business outcomes.

A Vision for Contextual AI

OpenText’s AI strategy is built on nearly 35 years of being the custodians of data for its customers. Practical enterprise AI requires agents to understand the specific situation, environment, and task it operates within to be effective. With the right context, OpenText can bring new life to old data, while solving relevancy and avoiding false confidence.

OpenText business applications assist enterprises in managing their largest data sets today including documents, commerce trades, IT tickets, and security signals. This can be human generated content, machine generated content, or content between organizations. OpenText ensures that information has metadata tags to provide data lineage, data rights, and data retention policies. With data security and identity access management wrapped around it, these contextual elements are critical to driving accuracy with any enterprise AI model.

OpenText Aviator then sits on top of this contextually rich data to enable automated workflows with agentic AI. OpenText’s Aviator is unique because it adheres to three core standards:

• Multi-cloud: Supports on-premises, cloud, and hybrid deployments
• Multi-model: Compatible with any AI model (LLM, SLM), including bring-your-own-model
• Multi-application: Deep integration with ERP, CRM, and other enterprise platforms

This open architecture ensures that organizations can tailor their AI strategies to their specific business, industry, and compliance needs. Furthermore, OpenText is working across the ecosystem with alliance partners like SAP, Microsoft, Google, Salesforce, Oracle, and more on deep integrations to drive an agent-to-agent roadmap.

Today, OpenText also announced it will be expanding its partnership with Databricks, the Data and AI company. OpenText already builds solutions on the Databricks Data Intelligence Platform with OpenText Threat Detection and Response. Now OpenText and Databricks will be working to co-innovate on the OpenText AI Data Platform through technical integrations and Delta Sharing. Together, customers can seamlessly unify, govern, and analyze all their enterprise data, empowering them to unlock trusted AI insights and drive innovation at scale.

Showcasing Innovation at OpenText World 2025

At its annual flagship event, OpenText World 2025, the company also introduced several groundbreaking innovations and outlined its 18-month roadmap (releases OT 26.1 – OT 27.2) that redefine how enterprises will interact with data and AI:

• OpenText AI Data Platform (AIDP) – An open, unified data and AI framework with a governance orchestration layer that enables AI agents (Aviators) to help customers unlock new value.
• OpenText Aviator Studio – A no-code platform to build, govern, and connect enterprise AI agents to empower organizations to realize ROI from AI faster.
• OpenText Knowledge Discovery – A set of tools to ingest structured and unstructured data, automate meta-data tagging, and connect to rich data sources in real-time.
• OpenText Data Compliance – A suite of services including AI readiness assessments, data redaction and PII controls, data tokenization, data encryption and privacy protection, and threat detection and response.
• OpenText Aviator AI Services – A team of OpenText Professional Services experts to help customers on the journey from discovery to deployment to adoption of purpose-built agents to realize business value.

Get Started

Organizations can take advantage of OpenText Aviator today for practical use cases from fraud detection to claims management to predictive maintenance. Learn more here.  

OpenText Aviator entry tier package will be included with an upgrade to OT 26.1 of Content Management, Service Management, and Communications Management at no additional fee.

OpenText Aviator will also be available on-premises starting OT 26.1 for Content Management, Communications Management, Service Management, DevOps Management, and Application Security.

Lastly, OpenText continues to partner with customers to navigate through complex requirements for sovereignty data and AI. Learn more here.

OpenText in collaboration with Capgemini, an AI-powered global business and technology transformation company, and Sogeti (part of the Capgemini Group), today announced the 17^th edition of the World Quality Report 2025: Adapting to Emerging Worlds. The report reveals that while nearly 90% of organizations are now actively pursuing generative AI (Gen AI) in their quality engineering (QE) practices, only 15% have achieved enterprise-scale deployment.

The report finds a widening gap between organizational interest in GenAI and actual readiness to adopt it effectively within QE. The journey from experimentation to implementation is more complex than anticipated, requiring alignment between operational innovation and strategic oversight.

Key findings from the report:

• Widespread adoption: 89% of responding organizations are piloting or deploying GenAI–augmented workflows, with 37% in production and 52% in pilot phases.
• Momentum and recalibration: The rate of non-adopters of GenAI increased to 11%, up from 4% in 2024, but still considerably lower than 2023’s 31%, indicating the initial rush has given way to a more grounded and complex strategy about readiness and value.
• Limited scale: Only 15% of respondents have achieved enterprise-wide implementation, while 43% remain in the experimental phase and 30% operate within limited use cases.
• Evolving use cases: GenAI is shifting from analyzing outputs (such as defect analysis and reporting) to shaping inputs, with test case design and requirements refinement now leading adoption.
• Operational gains with caveats: Organizations report an average productivity boost of 19%, but one third have seen minimal gains, highlighting the need for smarter integration strategies.
• New barriers emerge: In 2025, top challenges experienced by respondents include integration complexity (64%), data privacy risks (67%), and hallucination and reliability concerns (60%). This is a change from 2024 when top obstacles were more strategic in nature: lack of validation strategy (50%), insufficient AI skills (42%), and undefined QE organization (41%).
• Skills gap remains: 50% report their organizations lack AI/ML expertise, which is unchanged from 2024.
• Strategic misalignment: Many organizations treat GenAI as a tactical enhancement rather than a strategic enabler, resulting in fragmented execution and underfunded initiatives.

The report also emphasized the emergence of collaborative intelligence, where human expertise and AI capabilities combine to drive quality outcomes. This hybrid approach is proving essential as organizations navigate the tension between innovation and accountability. The report also showed that while shift left is still the dominant approach in quality engineering, the shift-right approach is gaining traction.

To download the full report, visit www.worldqualityreport.com.

Despite some investors prophesying the burst of the AI bubble, AI innovation and investment have continued to dominate the enterprise landscape this year, with North American organizations investing millions ($5.4 million annually on average) on generative AI tools, infrastructure, and talent. Moving into 2026, tech leaders are now preparing for a new era of IT management, fueled by data discipline, contextual intelligence, and sustainable AI innovation.

Expert Insights: Enterprise tech leaders Shannon Bell and Savinay Berry, Chief Information Officer and Chief Digital Officer, and Chief Technology Officer and Chief Product Officer, respectively, at OpenText, predict a 2026 digital landscape defined by context-driven AI, resulting from the following industry trends: 

• A shift from a proliferation of new AI tools to evaluating AI based on the tools it can replace 
• An increase in AI misuse incidents and a subsequent increase in AI accountability 
• The abandonment of the exploration of bigger models in favour of smarter, more  contextual AI
• The breaking point for proving tangible AI ROI 

Shannon Bell, Chief Information Officer and Chief Digital Officer, OpenText

Prediction 1: In 2026, AI will be judged not by how many tools it adds, but by how many it replaces.

CIOs will face pressure to demonstrate that AI is actively rationalizing applications to deliver measurable 10% year-over-year reductions across their technology estate. The real proof point will be cost optimization through secure information management: consolidating data environments, governing access, and ensuring that every AI deployment enhances, not fragments, the enterprise information landscape. Early gains will come from customer-facing and operational tools—help desk, call centers, frontline support—where generative and agentic AI can replace low risk, high volume tasks done today by humans, while at the same time improving experience. As organizations see billion-dollar efficiencies emerge, CIOs will redirect those savings into innovation and resilience, not more software.

Prediction 2: The future of cloud is hybrid, and sovereignty will be defined by data, not infrastructure.

By 2026, there will be broad acceptance that hybrid cloud is not a transitional state but a permanent one. The real sovereignty challenge isn’t where the cloud sits; it’s where the data resides and how securely it flows between environments. Every enterprise holds “keys to the castle” data that must remain protected, even as it interacts with public and private AI models. According to recent OpenText and Ponemon Institute research, 73% of CIOs and CISOs say reducing information complexity is critical to AI readiness, reinforcing that secure, governed data mobility is what will enable safe, scalable AI. CIOs will focus on portable architectures, clear governance, and the seamless orchestration of information across private networks, hyperscalers, and edge environments.

Prediction 3: CIOs will move from experimenting with AI to orchestrating it, governing outcomes, agents, and data.

AI leadership will evolve from pilots to performance. CIOs will be accountable for tangible business outcomes, defining clear frameworks that connect AI investments to enterprise KPIs and ROI. That means managing a new hybrid workforce of humans and digital agents, complete with job descriptions, correlated KPIs and measurement standards, and governance guardrails. Yet none of this will succeed without secure information management, ensuring that the data fueling and training these agents is accurate, compliant, and trustworthy. Simply put, good data results in good AI outcomes. As AI accelerates, traditional network and security operations will be reimagined for an always-on, agent-driven enterprise, where value is derived as much from data discipline as from innovation itself.

Prediction 4: The AI-ready enterprise will redefine workforce development around continuous learning and change management.

Workforce strategy will start to center on transforming people from task-takers to task-givers—individuals who design, direct, and evaluate AI systems rather than execute every process manually. Enterprises will invest in AI marketplaces, sandboxes, and prompt-sharing communities to accelerate hands-on experimentation, while universities and employers alike will emphasize problem-solving, critical thinking, and adaptability over static technical skills. Success will depend on a strong change management culture that reduces fear, communicates “what’s in it for me,” and ensures every employee has a stake in shaping how AI transforms work. The goal is not to automate people out of relevance, but to equip them to leverage AI to deliver higher-value, human-centered innovation and outcomes.  

Savinay Berry, Chief Technology Officer and Chief Product Officer, OpenText

Prediction 1: Context will define the next stage of AI.

The next leap in AI will come from smarter context, not bigger models.

Success will depend on how well organizations understand their data, where it comes from, and what it means in different business settings. Context engineering will become essential to help enterprises get the most out of their data and connect AI results back to original sources. That’s what will separate AI pilots from scalable enterprise-grade systems. When information context stays intact, AI becomes accurate, compliant, and explainable. Without it, even the best models risk producing outputs that can’t be trusted.

Prediction 2: A Major brand fallout will force AI accountability.

In the next year, we’ll likely see a major brand face real damage from AI misuse. It won’t be a cyberattack in the traditional sense but something more subtle, like a plain text prompt injection that manipulates a model into acting against intent. These attacks can force hallucinations, expose proprietary or sensitive information, or break customer trust in seconds. Enterprises will need to verify AI behavior the same way they secure their networks, by checking every input and output. The companies that build AI systems with accountability and transparency at the core will be those that keep their reputations intact.

Prediction 3: 2026 will be the year to prove real ROAI.

The time for counting AI pilots and projects is over. In 2026, organizations will need to prove real return on AI investment (ROAI) through outcomes that improve performance, reliability, and customer experience. Measuring the percentage of AI-generated code or model activity doesn’t say much. What will matter is whether AI shortens release cycles, improves uptime, and helps teams recover faster from incidents. When AI delivers measurable improvements in speed, quality, and stability, that’s when it will become a trusted business advantage.

 OpenText today announced new cybersecurity capabilities designed to help enterprises embed AI into everyday security work and enforce governance and compliance at scale. OpenText™ Cybersecurity unifies defenses across identity, data, applications, SecOps, and forensics, putting AI directly in the flow of work with OpenText™ Core Threat Detection and Response for behavioral analytics, OpenText™ Core Identity Foundation for advanced permission settings and access protection, and OpenText™ Application Security Aviator auto-remediation during application testing.  Along with OpenText Data Privacy and Protection for advanced encryption, these advanced new cybersecurity capabilities in CE 25.4 strengthen compliance with built-in controls (GDPR, HIPAA, PCI DSS) and ensure enterprise AI runs on security that is adaptive, governed, and trusted.

New innovations include:

• Get AI Ready with Simplified Identity and Access for Hybrid Environments
  With OpenText Core Identity Foundation, organizations can unify identity and access across on-premises, cloud, and legacy environments without costly infrastructure overhauls. SaaS-based Zero Trust controls and enforces least-privilege access by fully managing all the edge identity stores across disparate environments as part of the Identity-as-a-Service (IDaaS) vision.
  
• Put AI in Context with Secure Software Delivery Powered by AI Auto-Remediation
  Development teams can fix vulnerabilities in minutes instead of days with OpenText Application Security Aviator 25.4. Automated, validated code fixes reduce security debt and embed protection directly into DevSecOps workflow through the Fortify Command Line Interface (fcli).
  
• Secure, Governed, Compliant with Proactive Threat Detection and Built-In Compliance
  OpenText Core Threat Detection and Response bring behavioral analytics into the SOC. OpenText Data Privacy and Protection is advanced encryption service that protects sensitive data at rest, in transit, and as it feeds AI. And if you’d like to gain expert help, OpenText Managed Security Services can bring Managed Extended Detection and Response (MxDR) and PCI-DSS attestation services to help security teams detect threats faster, respond in real time, and meet regulatory requirements with less operational overhead. For organizations seeking expert support, OpenText Managed Security Services can bring Managed Extended Detection and Response (MxDR) and PCI-DSS attestation services to help security teams detect threats faster, respond in real time, and meet regulatory requirements with less operational overhead.

The new capabilities are currently available with OpenText Cloud Editions 25.4.

Additional Resources

• To explore OpenText™ Application Security Aviator 25.4 or request a personalized demo, click here.
• For more information on OpenText™ Core Identity Function or to request a personalized demo, click here
• To learn more about OpenText™ Managed Security Services, click here.
• Learn more about OpenText™ Core Threat Detection and Response (TDR) here.
• Learn more about OpenText™ Data Privacy and Protection Foundation (Voltage) here.

 OpenText today announced the release of Cloud Editions (CE) 25.4, introducing innovations that help organizations securely unlock the value of their  information and put AI to work with industry-specific, use-case-driven solutions.

With CE 25.4, customers can move from “Content in Context” to “AI in Context,” putting trusted data at the center of their AI strategy. With enriched and governed enterprise data in various OpenText platforms, organizations can accelerate AI readiness and benefit from operational productivity. CE 25.4 helps customers discover hidden data, transform raw content into intelligence, and curate information with business context.

Trusted AI-Ready Data

CE 25.4 recognizes that AI depends on three critical types of data:

• Human-generated content: Structured data and unstructured data such as files, emails, images, texts, and audio created by users.
• Machine-generated content: Log files from IT monitoring, security systems, network operations, endpoints, QA testing, and more.
• Content between organizations: Data from B2B integrations, supplier networks, and commerce flows.

According to IDC, 90% of the world’s content resides behind enterprise firewalls and this private data is essential for deploying effective AI. In fact, 89% of CIOs say their AI strategy hinges on robust information management according to OpenText’s recent survey. Connecting all three types of data into AI-led cross-functional workflows is the competitive advantage OpenText can bring customers — ensuring private intellectual property remains secure, is governed by the right permission settings, and is ready to fuel powerful AI outcomes.

New AI in Context Innovations with CE 25.4

With OpenText’s latest release, customers can gain access to a suite of enhancements designed around three principles:

• AI Ready: Tools and services to uncover hidden data, enrich it with business context, and prepare it for AI consumption.
• AI in Context: Functional role specific AI solutions built on curated, governed data that meet industry standards.
• Secure, Governed, Compliant: Advanced protection for sensitive data, identities, and endpoints, with intelligent threat detection and behavioral analysis.

CE 25.4 introduces new Aviator capabilities across a wide range of specific business roles including:

• Policy & Compliance Management: Automatically identify and update non-compliant documents, behaviors, or trade transactions.
• Document Classification and Management: Auto-tag and store documents according to business context. Archive and dispose of documents per records retention rules.
• Service Management: Enhance service quality and reduce resolution times.
• Quality Control Management: Generate QA scripts and automate testing of user stories.
• Text-to-Code Conversion: Enable non-technical users to query databases.
• Audit Preparation: Accelerate audit readiness by identifying gaps in documentation.
• Anomaly Detection: Spot unexpected changes in supply chain transactions that signal business issues.
• Carbon Emission Calculations: Help clients reduce emissions by aggregating data across trading partners and systems.

New Advisory & Support Services

To help customers maximize the value of CE 25.4, OpenText is launching a comprehensive suite of services:

• OpenText Advisory Services : Align stakeholders, map data governance, and prioritize high-value AI initiatives with readiness and guardrails.
• Deployment & Integration Services : Rapid deployment and seamless integration with leading applications using proven methodologies.
• Cloud & Platform Modernization Services : Rationalize legacy systems, archive cold data, and re-architect workloads for secure, modern operations.
• IT Process Innovation Services : Improve observability, service management, and DevOps with embedded expert capacity.
• Cyber Resilience Services : Establish security baselines, validate backup and recovery, and drill incident response for repeatable containment.
• Advanced Customer Support Services (ACS) : Tiered support offerings including Extended Support, Priority Response, Premium Support, and Ultimate Care. ACS ensures system health with proactive care, named support partners, and readiness audits.

Upgrade to CE 25.4 Today

OpenText Cloud Editions 25.4 is available now. Customers are encouraged to upgrade to take advantage of the latest innovations and prepare their organizations for the future of AI.

Engage Our Experts

To learn more about CE 25.4 visit here and see how OpenText can help your organization become AI-ready. Contact our advisory team today.