Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Every construction project generates an enormous paper trail that captures the collective intelligence of the firm. Proposals, estimates, subcontractor bids, RFIs, submittals, contracts, schedules, and closeout documentation capture thousands of decisions and lessons learned. Yet for many firms, this knowledge never gets reused. Instead, valuable insights remain buried inside disconnected folders, spreadsheets, emails, and project systems. The result?

Artificial intelligence is everywhere at work. Yet for many teams, it still doesn’t feel very intelligent. The problem isn’t a lack of AI tools. It’s the opposite. AI has exploded across the enterprise, spreading into dozens of apps, assistants, and models. Each tool promises to help, but together they create fragmentation. Employees end up asking the same question in multiple places, switching between systems, and piecing together answers manually.

Inspection readiness in life sciences is no longer just about checklists and technical controls. True compliance requires a culture of transparency, strong data governance, and continuous audit readiness. By embedding traceability, accountability, and automated compliance into everyday workflows, organizations can build trust with regulators, reduce inspection risk, and ensure their data integrity supports both regulatory success and patient safety.

Modern construction projects generate massive volumes of data, including BIM models, construction drawings, inspection reports, reality capture files, specifications, RFIs, and compliance documents. As projects grow in size and complexity, managing this information becomes increasingly difficult, especially when teams are distributed across offices, jobsites, and external partners.

Whether you’re a video editor, graphic designer, or marketer responsible for building key assets, you know how frustrating working on large-scale creative projects can get. Teams struggle to work with large video and design files, dealing with slow, incomplete renders, freezes, crashes, and misaligned content. When collaborating, those delays and inefficient version keeping lead to lost or overlapping work.

Preconstruction is no longer a buffer between design and delivery. Across UK construction projects, timelines are compressing, risk is shifting upstream, and teams are being asked to commit earlier with less certainty than ever before. At the same time, project information is increasingly fragmented across cloud platforms, project systems, shared drives, and email. Without structured information management, the speed gains from digital tools often amplify uncertainty rather than reduce it.

We’re excited to share new updates and enhancements for March, including: For more info on these updates, check out the list below and dive into the detailed articles. Please join the Egnyte Community to get the latest updates, chat with experts, share feedback, and learn from other users.

For many organizations, migrating away from Microsoft SharePoint and OneDrive isn’t a question of if, but how. Years of project files, team sites, and personal data can make even well-planned transitions feel overwhelming. Until now, administrators had to rely on a variety of workarounds, such as manual exports, PowerShell scripts, or costly third-party vendors, to move data safely while maintaining structure.That’s where Egnyte’s new native migration capability comes in.

Protecting your organization’s mission-critical data is always a top priority. However, data security has gained additional importance in the AI era.

In case you missed it, Egnyte recently presented a webinar focused on an ongoing yet potentially overlooked problem for many organizations—their file server strategy. Our discussion covered a ton of ground, but I thought it was important to recap some of the takeaways and recommended next steps here.