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Engineering organizations manage enormous volumes of information. P&IDs, CAD drawings, data sheets, maintenance records, vendor documentation, inspection reports, and operating procedures contain the knowledge needed to operate, maintain, and improve critical assets. Before organizations can realize the promise of AI, they must ensure that engineering information is discoverable, validated, connected, and trusted. Yet much of this engineering information is scattered across repositories.

Sweden has now taken a significant step toward determining how ViDA—and potentially broader domestic e-Invoicing requirements—will be implemented. In February 2026, the Swedish government launched a formal inquiry into the changes needed to implement ViDA’s digital reporting and e-Invoicing requirements in Swedish law. Significantly, the inquiry will also assess whether Sweden should introduce mandatory e-Invoicing and digital reporting for domestic transactions.

OpenText has been named a Leader in the IDC MarketScape: Worldwide Digital Fax 2026 Vendor Assessment (#US54136326, September 2026). We believe this recognition reflects the trust that more than 100,000 fax customers place in OpenText every day, along with the steady investment we continue to make in cloud, AI, and security across our digital fax portfolio.

Organizations today are managing rapidly growing volumes of data. Over years of collaborating with our customers’ data center teams, I have watched the vocabulary of scale shift dramatically by moving from gigabytes to terabytes, and now, routinely to petabytes. Yet the real challenge isn’t just the sheer volume; it’s the format.

AI is helping us find software vulnerabilities faster than ever. That’s great news for cybersecurity. But, there’s a consequence we don’t talk about nearly enough: More vulnerabilities discovered means more vulnerabilities to fix. More vulnerabilities to fix means more patches. And more patches mean more pressure on already-busy IT teams. Would you agree?

Every engineering leader has had this conversation at least once. A team is scoping a new performance engineering initiative, and someone floats the obvious first option: why not just use an open-source tool? It’s free to download, there’s a big community behind it, and the team already knows the basics. On paper, it looks like the fiscally responsible choice. In practice, the build vs. buy decision in performance engineering is rarely about the price tag on day one.

Software development is shifting from AI-assisted suggestions to agent-driven actions. Coding agents can work across repositories, call development tools, and complete multi-step tasks under human oversight. These workflows can accelerate development, but they also change where and how security controls must operate. Agentic AppSec brings established security testing and governance into these workflows.

Effective March 27, 2026, HackerOne paused accepting new submissions to its Internet Bug Bounty program. Its explanation pointed to a growing imbalance: AI-assisted research is increasing the speed and coverage of vulnerability discovery, while open-source maintainers haven’t gained matching capacity to assess and remediate those findings. The same imbalance shows up in enterprise AppSec. Teams already generate findings from source code, running applications, APIs, and open-source components.

It’s day 1 of OpenText World 2026 in Orlando and you’re ready to go. After picking up your badge and fortifying yourself with a hearty breakfast, you head to the main stage at the Hyatt Regency Orlando’s Windermere ballroom to start a packed day of learning and exploration. First up at the general session is OpenText CEO Ayman Antoun, who talks about data in the AI era, describes OpenText’s role in the AI stack, and hosts a fireside chat with an OpenText client to share their perspective.

AppSec ROI is coming under sharper scrutiny as AI budgets move beyond experimentation. KPMG’s Global AI Pulse for the third quarter of 2026, a survey of more than 2,100 senior leaders across 20 countries, territories, and jurisdictions, finds that competitive advantage is shifting from adopting AI to running it effectively. The data shows a clear pattern. Among organizations reporting established AI ROI, 86% operate a formal cross-functional or enterprise-wide AI management layer.