Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Decoding the Copilot Ecosystem

Microsoft’s approach of generative artificial intelligence has fundamentally redefined corporate productivity. The "Copilot" brand has become synonymous with workplace efficiency, promising to accelerate everything from writing software to summarizing executive board meetings. For a security analyst, however, this widespread integration introduces significant challenges to the attack surface they manage.

AI changed what you ship. It also changed what you have to secure.

Two years ago, your teams shipped software. Today they ship two different things. They ship software that AI mostly wrote. And they ship AI systems they built themselves: models, agents, features that reason and act. Most security programs are still scoped for the first and blind to the second. That gap is not a tooling problem. It is a category problem. And the way the industry is drawing the categories is making it worse.

5 Agentic AI Security Use Cases Every Security Leader Must Know in 2026

A human employee who wants to delete a customer record, issue a refund, or push a config change has to ask, click, and confirm. An AI agent doing the same thing can plan, decide, and execute the action in one pass, often through a tool it picked itself, in a sequence no one explicitly approved. That shift, from systems that respond to systems that act, is why most application security stacks fall short the moment agentic AI enters the picture.

How to Setup AI Rules, Skills, Hooks and MCPs

In this video, we break down how to properly set up and use AI extension points - specifically MCP (Model Context Protocol) servers, Rules, Skills, and Hooks - to supercharge your development workflow. Using practical, security-flavored examples with Claude Code and Snyk, you'll learn how to configure a local project environment that automatically catches vulnerabilities before they ever hit your codebase. Whether you use the Claude CLI, VS Code extensions, or alternate AI ecosystems like Cursor or Gemini, you can use these exact steps as a blueprint to automate any workflow in your project.

Strategic Investment: Navigating Cybersecurity in an Autonomous Era

Unlock the secrets to strategic investment in cybersecurity that every business leader needs to know. Avoid the pitfalls of over-investment and instead, focus on understanding your cybersecurity architecture, processes, and unique risks. Discover how a solid foundation can bolster your security architecture and enhance business operations. Protect your critical assets and ensure real-time visibility across your network.

PixelSmash - Critical FFmpeg Vulnerability Turns Media Files into Weapons

JFrog Security Research recently discovered and disclosed a critical vulnerability in FFmpeg, the world’s most widely deployed media processing framework. The discovered vulnerability, which we’ve named PixelSmash, is CVE-2026-8461 – a heap out-of-bounds write in the MagicYUV decoder (CVSS 8.8 High). We escalated this vulnerability from a simple crash all the way to reliable remote code execution – all it takes is processing a single malicious media file.

How to Use AI for Vulnerability Management

With over 48,000 CVEs published in 2025 and attackers weaponizing vulnerabilities in as little as 20 hours, traditional vulnerability management is no longer enough. This post breaks down the key findings from the SANS whitepaper The Exposure Gap: From Vulnerability Management to AI-Driven Control, and what it means for security teams trying to get ahead of risk. In 2025, over 48,000 CVEs were published. That’s roughly 130 new vulnerabilities every single day.