Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

The New Security Control Point: Governing AI Agents Inside the Execution Loop

As organizations adopt AI agents to build software, security teams face a new challenge: risk is no longer introduced only through the code that gets produced. It emerges continuously through the tools agents use, the actions they take, and the code they generate. This is the problem Evo Agentic Development Security (ADS) was designed to solve. ADS secures all three layers of the agentic development system—what agents use, what they do, and what they generate.

Announcing Agentic Development Security (ADS)

Today, we're announcing Agentic Development Security (ADS), a new Evo solution designed for securing AI-driven software development. AI agents are now active participants in the software development process, selecting tools, executing actions across systems, and generating production-ready code at machine speed.

What nearly 10,000 developer environments reveal about agentic development risk

For years, application security teams have focused on a familiar set of questions: Is the code secure? Are the dependencies vulnerable? Is the build pipeline protected? Are issues being caught before they reach production? Agentic development adds a new question: What systems, tools, instructions, and permissions helped produce this code? AI coding agents are no longer just suggesting snippets or completing lines of code.

Best Vulnerability Management Tools and Software in 2026

Every security team runs vulnerability scans. It’s the follow-up questions that cause headaches: Which of these 12,000 findings matter, who owns the fix, and how do we prove it held? Staring at a massive spreadsheet of identical "Critical" alerts while chasing down overstretched infrastructure teams isn't only tedious, it's a guaranteed path to burnout. That exhausting gap between finding flaws and getting them fixed is exactly where most security programs stall.

Inside FortiBleed: Reverse Engineering the CyberStrike Harvester Behind a Global FortiGate Credential Factory

FortiBleed is a large-scale credential compromise campaign that targets internet-facing Fortinet FortiGate firewalls and SSL VPN gateways. The campaign does not depend on a malware payload; instead, it uses a credential pipeline that utilizes credential stuffing, password spraying, configuration harvesting, offline cracking, and post-authentication capture processing.

Continuous vulnerability management: Is your program actually continuous?

Continuous vulnerability management (CVM) is an ongoing, automated approach to discovering, analyzing, prioritizing, and remediating security weaknesses across an organization's IT environment. It replaces periodic scans with real-time visibility that shrinks attacker opportunity windows.

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.

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 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.

Why Annual Penetration Testing No Longer Matches Modern Application Risk

Penetration testing remains one of the most effective ways to identify exploitable vulnerabilities, validate security controls, and provide assurance that applications can withstand real-world attack techniques. For years, annual penetration testing was a reasonable approach. Most business applications changed relatively slowly, with major releases happening a handful of times each year.