OpenText announced significant enhancements to its Private Cloud offerings, designed to meet the growing demand for data sovereignty, regulatory compliance, and localized control in an increasingly complex digital economy.
OpenText™ Private Cloud enables enterprises to operate globally while maintaining strict control over where and how their data is stored, processed, and protected—ensuring compliance with local laws and building trust with customers and regulators alike.
OpenText Private Cloud is purpose-built for organizations that need to be global in scale but local in execution. With data centers strategically located across key regions — including Canada, UK, Germany, France, Australia — OpenText provides customers with the flexibility to choose where their data resides. This ensures that sensitive information remains within national borders, in compliance with data sovereignty requirements such as GDPR and emerging regulations in the EU.
"Data sovereignty and local platform control is now a top technology and business priority for the world's largest organizations," said Mark J. Barrenechea, CEO & CTO of OpenText. "The OpenText Private Cloud give customers the confidence to innovate globally while respecting the legal and cultural expectations of every market they serve, and to deploy locally and have complete control within their country of choice."
OpenText Private Cloud is designed for highly regulated industries such as financial services, healthcare, bio-technology, energy, and the public sector. These sectors face stringent compliance mandates that require not only secure data storage but also auditable controls, encryption, and localized data governance.
With OpenText, customers benefit from:
- Dedicated, single-tenant environments that provide maximum isolation and security.
- Customizable deployment options to meet specific regulatory and operational needs.
- End-to-end encryption and key management with customer-controlled keys.
- Comprehensive compliance support for standards such as ISO 27001, HIPAA, Protected B, IRAP, and more.
OpenText Private Cloud is part of the OpenText Cloud, a unified platform that supports the full spectrum of information management—from content services and cybersecurity to analytics and AI. Customers can seamlessly integrate their private cloud environments with OpenText's public cloud services or on-premises systems, enabling hybrid and multi-cloud strategies that align with their digital transformation goals.
"OpenText has been instrumental in helping us navigate the complexities of data sovereignty as we expand into new markets," said Shannon Bell, EVP and Chief Digital Officer of OpenText. "Our Private Cloud offering gives us the agility to scale globally while maintaining the trust of our customers and regulators locally."
Key Offerings
- OpenText Content Management: AI-led content services that empower organizations to capture, archive, search, and summarize across both structured and unstructured data.
- OpenText Observability and Service Management: AI-led service management solutions that unify experiences and delivers efficiency across multiple enterprise functions including IT, HR, Services, Support, and Supply Chain.
- OpenText Cybersecurity: From threat detection and response to data encryption, identity access management, and application security, OpenText helps organizations mitigate risks and protect sensitive information.
- Private Cloud Infrastructure: OpenText ensures full data residency and sovereignty with its private cloud infrastructure. This offering guarantees that data remains within the designated jurisdiction, supporting compliance with local regulations and standards.
- Private AI Capabilities: OpenText Aviator enables secure, in-country generative AI for on-premise solutions. This capability allows organizations to leverage the power of AI while maintaining control over their data and ensuring compliance with local data sovereignty requirements.
- Sovereign AI Data Cloud: OpenText offers a secure, single-tenant environment for managing and analyzing sensitive data. This solution is aligned with government standards, providing a trusted platform for public sector organizations and regulated industries.
As data sovereignty regulations continue to evolve, OpenText remains committed to helping customers stay ahead of the curve. The company is actively expanding its global data center footprint and investing in advanced compliance automation, AI-driven governance, and localized support services.
"Our mission is to empower organizations to manage and protect their information—wherever it lives," added Barrenechea. "With OpenText Private Cloud, our customers can confidently embrace the future of global business, knowing their data is secure, compliant, and under their control."
The Latest
In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...
Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...
In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ...
Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...
Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...
Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...
The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...
The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...
In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...
AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.