Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Ask an AI system a question about your business and, before it can answer, it has another problem to solve: What information actually matters? It has to find the right files. Determine which version is current. Understand how those files relate to a project, client, deal, or other piece of work. Figure out which information applies to the person asking. Then assemble enough of that information to make a useful decision. For someone who works in the business every day, much of that is obvious.

The August release brings significant advances across Egnyte, making AI more actionable, connected, and easier to use across everyday workflows. Key updates include the new Configuration Agent, AI-powered agents in workflows, enhanced AI Assistant capabilities, and expanded support for connecting AI tools through Egnyte MCP Server.

Construction firms have invested heavily in technology to connect project information. Drawings, specifications, RFIs, submittals, BIM models, photos, and field reports are increasingly accessible from anywhere, helping office and field teams work from the same information. Connecting project information is a critical first step. It improves collaboration, reduces rework, and helps office and field teams work from the same information.

In a recent announcement, the U.S. Department of Defense (DoD) suspended Phase II of the Cybersecurity Maturity Model Certification (CMMC) program. Since we’ve received questions from our customers about the announcement's impact, I’ve recapped the latest updates below. Remember to always consult your DoD contracts for the latest provisions and review these program updates with legal counsel, technology consultants, and third-party CMMC assessors, as appropriate.

July's release makes AI more useful across the Egnyte platform, with major enhancements to AI Assistant that make it easier to build agents, create documents, have more natural conversations, and securely connect AI tools through Egnyte MCP Server.

By Bhumika Sharma | Manager, Engineering at Egnyte We ran an AI-native SDLC—here's what it changed about how we lead engineering. Egnyte's Search team serves 22,000+ enterprise customers across petabytes of content, and like every engineering org right now, we're figuring out how deeply AI tools should reshape how teams actually build software. Earlier this year, we kicked off a new project.