Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

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.

AI Security: Are We in the Lull Before the Storm?

AI adoption is accelerating, cyber attacks are increasing and organisations are transforming faster than their security can keep up. In this Razorwire Raw, James Rees looks at why cybersecurity could be in the lull before the storm. AI agents, vibe coding and automation are changing business at extraordinary speed, while attackers are using the same technology to find vulnerabilities and accelerate attacks.

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.

Building a bot takes five minutes. What it stands on took eight years. Introducing LimaCharlie Bots.

Co-founder and CCO We shipped bots in the LimaCharlie AI Terminal. You can create one in a few minutes: give it a role, pick a profile if you want one, and open a chat. I said this during our September Build Log demo and I'll repeat it here, because everything else in this post follows from it. The bot is the easy part.

How We Hijacked an AI Agent With a Single Email

Salt Labs found that the agentic AI platform Manus could be hijacked with a single email. By hiding malicious instructions inside an ordinary message, researchers got Manus to execute malicious code and, from there, reach the email, cloud storage, and code repository accounts a user had connected to it. The full attack required nothing from the victim beyond asking Manus to check their inbox. No stolen password, no clicked link.