Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

It’s Friday afternoon, and you need a quick team update. Five minutes, tops, right? You ping Slack. A few people reply, a few don’t. So, you schedule a “quick sync” to get everyone on the same page. Two hours later, you’ve spent your afternoon chasing updates instead of doing actual work. And you’ll do it all over again next week. Now picture this. You’re collecting product demo videos for an agency.

Opera and artificial intelligence may not seem like natural companions, but they share one important truth: The best performances are revealed over time. Early scenes set the stage, introduce the themes, and create a sense of anticipation. The audience leans in, waiting for the big moments still to come. AI in financial services has followed the same structure.

We’re excited to share new updates and enhancements for April, including: Dive into the detailed articles below for more info on these updates. You can also join the Egnyte Community to get the latest updates, chat with experts, share feedback, and learn from other users.

Quick View brings an intuitive, contextual preview option to the Egnyte UI that helps you find what you need without breaking your momentum. With this release, you have two ways to preview a document—full preview and Quick View.

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.