Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Egnyte's AI Workspace: Where Organizational Knowledge Becomes Action

We've all been there. You're a few minutes from a client call, and you need one clear answer before you jump on. So, you open the project tracker then the shared drive, hunting for the latest email. Then you review a Slack thread to check if that blocker got resolved. By the time you dial in, you've burned fifteen minutes and you're still not fully sure you have the full picture. None of those tools failed you—each one had a piece of what you needed.

Reading AI Use From the Browser When the Network Sees Nothing

A session to a sanctioned AI provider looks the same on the network whichever account it ran under and whatever was in it. Transport encryption means a proxy sees a connection to an approved domain and a payload size. ‍ Which is fine until somebody asks whether an exposure is reportable. The question turns on three facts the network never held, and none of them can be reconstructed from a log afterward. ‍

The AI Marking Deadline That Applies Only to Systems Already Running

Transitional relief normally works one way. A new rule arrives, existing products are carved out or given years, and anything built afterwards complies from the start. ‍ The marking obligation for synthetic content inverts that. Article 50 has applied since 2 August 2026, and a targeted transitional period gives extra time to systems that were already on the market rather than to new ones.

A Simple First-Project Workflow for Trying Seedance 2.5

A first AI video project becomes difficult to evaluate when the idea includes several subjects, changing locations, camera moves, and a detailed story. If the output fails, a beginner may have no clear way to tell what went wrong. A small project gives each revision a useful purpose. Try Seedance 2.5 with one visible action and a simple ending. Treat the first output as a draft to inspect before editing.

What's New at GitGuardian: AI Leak Triage & Laptop Secrets Scanning

We found 15x more valid secrets on developer laptops than in code repositories. In this September edition of What's New in GitGuardian, Sr. Product Managers Léna Cuissard and Emmanuelle Franquelin walk through two updates: agents that triage public secret leaks for you, and Developer Endpoint Protection coming together as one package.

Introducing The GitGuardian Mixin Kit To Extend Docker Sandboxes for Safer AI Coding

Modern enterprise security is increasingly being tasked with keeping agents from affecting critical data and infrastructure. In this video, Dwayne, principal developer at GitGuardian, introduces how GitGuardian AI hooks extend the power of Docker Sandbox isolation. Their micoVM architecture plus the power of ggshield mean anyone can get an agent working in a secure way with very little effort. Chapters.