Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Introducing the AI Security Fabric: Empowering Software Builders in the Era of AI

Today, we’re thrilled to introduce the AI Security Fabric, delivered through the Snyk AI Security Platform, and operationalized through a prescriptive path for AI security. As software creation shifts to humans, models, and autonomous agents working together at machine speed, security must evolve just as fundamentally. The AI Security Fabric defines the new paradigm, and the Prescriptive Path shows how the Snyk AI Security Platform gets you there.

January Release Rollup: Egnyte MCP Server, File Server Connector, and More

We’re excited to share new updates and enhancements for January, including: For more info on these updates, check out the list below and dive into the detailed articles. Please join the Egnyte Community to get the latest updates, chat with experts, share feedback, and learn from other users.

When AI Can Act: Governing OpenClaw

Agentic AI burst into public consciousness this week with talk of Moltbook – a social network designed for AI agents built on OpenClaw (formerly Clawdbot and Moltbot). The resulting conversations about identity, forming a new religion, social engineering humans, and more between bots have sparked alarms everywhere. For IT leaders, one thing is clear: AI crossed a meaningful threshold.

AI agents are forcing a reckoning with identity and control

Most organizations never planned for AI to start making real decisions. They started with simple helpers. An agent answered basic questions or generated small automations so teams could avoid opening another IT ticket. It felt harmless. But as these agents become more capable and more autonomous, they begin operating across systems at machine speed. They connect tools, provision access, and trigger chained actions long after the original request.

5 Essential AI Tools for Project Managers to Boost Productivity in 2026

It's 2026, and if you're still manually color-coding spreadsheets or manually typing meeting minutes, you're stuck in the past. We are no longer "task trackers", we're "strategic navigators". But with the release of GPT-5.2 and the deluge of AI agents, it's noisy. I've seen so many PMs download 20 different AI apps and they're all the same: "generating some generic text for you". If you really want to save time, you don't need more writing tools; you need a varied toolkit that takes care of the different parts of your brain: your scheduler, your communicator, your designer, your librarian.

Secure AI with CrowdStrike: Real-World Stories of Protecting AI Workloads and Data

AI is reshaping business at machine speed. From automating claims to improving customer engagement, organizations are embedding AI into core workflows faster than most security teams can track. As AI systems expand, they introduce a new class of security considerations. AI no longer lives in a single layer of the stack. It runs on cloud infrastructure, processes sensitive data, and operates through a growing network of human and non-human identities.

Snyk Advisor is Reshaping Package Intelligence on Snyk Security Database

Choosing safe, healthy open source dependencies shouldn’t require jumping between tools or piecing together context from multiple places. Developers and AppSec teams need package health signals exactly where security decisions already happen. This is why we’re bringing Snyk Advisor data into security.snyk.io.

The CISA ChatGPT Incident Makes the Case for AI-Native DLP

The acting director of America's Cybersecurity and Infrastructure Security Agency—the person tasked with defending federal networks against nation-state adversaries—triggered multiple automated security warnings by uploading sensitive government documents to ChatGPT. If this happened at CISA, it can happen at your organization too.

API-Based Zero Trust Assessment: Measuring Your Security Posture in Minutes

Zero Trust (and probably many general posture) conversations stall at one question: Where are we actually today? Because Reach connects directly through APIs, teams can quickly assess their environment without deploying new agents or ripping anything out. That makes it practical to benchmark a Zero Trust program against the CISA Zero Trust Maturity Model — and see what’s real vs. assumed.