As Egypt accelerates its national digital transformation agenda, global information-management leader OpenText is expanding its role in modernising how government bodies and enterprises manage, secure, and activate their data. With AI adoption gaining momentum and new regulations reshaping data governance, OpenText executives say the company is focused on helping Egyptian institutions build trusted, scalable foundations for e-government and enterprise-wide digital services. According to Ibrahim Azab, Regional Vice President of Sales for the Middle East at OpenText, Egypt has emerged as one of the company's most important regional markets. "Egypt is a dynamic, fast-growing economy with a strong commitment to digital transformation across government and enterprise sectors," he said. "Organisations are rapidly embracing cloud technologies, AI, and data-driven tools to modernise operations, strengthen cybersecurity, and enhance decision-making." Azab noted that OpenText's mission in Egypt centres on helping organisations unify and govern their data responsibly. "We provide secure information-management solutions that allow Egyptian organisations to innovate faster while protecting their information. We see immense potential for Egypt to become a regional hub for information-driven innovation."
Rising Demand for Data Protection As Egypt and the wider region introduce stricter data-protection frameworks, compliance has become a priority for both public and private institutions. OpenText platforms centralise and classify content across systems, streamlining compliance with GDPR, local data-protection laws, and sector-specific regulations. Through built-in governance, audit trails, and automated policy enforcement, OpenText's solutions ensure that sensitive information is securely handled throughout its lifecycle. The company also provides tools for risk detection, incident response, and secure content management across cloud and hybrid environments. "Data protection is now a strategic priority," Azab said. "Our technology gives organisations complete control over how information is governed and used, helping them reduce operational risk and build services on a foundation of trust." Ibrahim Azab
Scaling AI Securely A major pillar of OpenText's regional strategy is scaling its AI Data Platform, which helps organisations deploy generative AI and intelligent automation across their operations. With AI usage increasing rapidly in the Middle East, many institutions still lack the unified, trusted data sources needed for enterprise-wide adoption. "Our priority is delivering platforms that unify and protect information across clouds, applications, and legacy environments," Azab said. OpenText is also strengthening its emphasis on cybersecurity and compliance to ensure customers can adopt AI while meeting data-sovereignty requirements. OpenText has integrated generative AI functionality through its Aviator platform, embedding AI into information management, cybersecurity, and business networks. Rather than acting as standalone chatbots, Aviator tools derive insights from complex information, automate manual tasks, and support decision-making through secure access to private enterprise data. "What sets our approach apart is trust," Azab added. "Customers can run GenAI safely on their proprietary data while maintaining full control over security and privacy. We are also expanding sector-specific solutions for government and finance—areas where data security and transparency are critical." For government entities, OpenText offers solutions such as Content Management for Government and Digital Recordkeeping for Government, which ensure compliant handling of public records and streamline paper-to-digital workflows. The Total Citizen Experience platform further supports agencies by connecting distributed data sources to provide seamless citizen services. AI-powered search and cybersecurity tools strengthen protections for sensitive public-sector information.
Expanding Investment in AI Over the past two years, OpenText has made major investments in generative AI, advanced analytics, and intelligent automation. These enhancements aim to help organisations unify data, automate workflows, and generate insights under strong governance controls. "Our investments are focused on responsible and secure AI," Azab said. "We embed trust and compliance into AI at every stage so enterprises can scale safely and effectively." As Egypt's digital transformation progresses, cyber threats—including ransomware, supply-chain attacks, and phishing—are becoming more sophisticated. Critical sectors such as banking, government, healthcare, and energy face heightened risks. OpenText addresses these challenges through an integrated cybersecurity framework combining AI-powered threat detection, advanced analytics, secure cloud platforms, and automated risk management. The solutions offer secure data access, continuous monitoring, encryption, and compliance-driven controls to safeguard critical assets. "By unifying security with governance and operational oversight," Azab said, "we help organisations maintain resilience and confidently scale their digital initiatives."
Local Projects and Impact Karim Rizkallah, Regional Vice President for Solution Consulting in Emerging Markets, highlighted OpenText's ongoing work with major Egyptian government institutions and public-sector organisations. At the Ministry of Communications and Information Technology (MCIT), OpenText has helped centralise documents and streamline workflows across departments, significantly improving efficiency. At EBank – the Export Development Bank of Egypt – the company modernised IT service processes, enhancing responsiveness and operational reliability. At the Bibliotheca Alexandrina, OpenText has digitised more than 90 processes and enabled the management of thousands of documents monthly, transforming access to knowledge. "These partnerships reflect how we build secure, scalable foundations for e-government," Rizkallah explained. "We enable institutions to deliver smarter, more integrated public services." A major challenge across Egyptian institutions is integrating fragmented data. OpenText's solutions consolidate data from multiple sources, applications, and formats to support consistent and reliable operations. At EBank, this meant integrating data from several IT tools into a single operational layer. At the Bibliotheca Alexandrina, it involved linking applications across departments to reduce information silos. "We transform fragmented data into a unified information landscape," Rizkallah said.
New Product Launches and Future Outlook OpenText recently launched its new AI Data Platform in the Middle East—a next-generation system designed to support enterprise-scale AI adoption through secure, context-rich intelligence. With regional studies showing that while AI adoption is rising, many organisations struggle to scale, the platform aims to bridge the gap between pilot projects and full deployment, Rizkallah said. He noted that OpenText is also expanding partnerships with local firms and startups, enabling them to build customised solutions on top of OpenText technologies. Through training, certification programmes, and technical support, the company aims to cultivate local talent and strengthen digital ecosystems across the region. OpenText sees significant opportunities for further expansion across energy, banking, telecommunications, government, healthcare, manufacturing, and other public-sector institutions. Each sector has unique priorities—from automation and compliance in banking to operational efficiency in energy and data governance in public services. "Our focus is to help every sector build trusted, AI-ready information foundations," Rizkallah added. OpenText ensures AI compliance through built-in governance, data-sovereignty controls, and secure deployment options. Features such as encryption, access control, tokenisation, and auditability support compliance with GDPR, HIPAA, and regional regulations. The company also provides AI readiness assessments to help organisations evaluate and strengthen their data management practices.
