Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Cyberhaven DSPM: Uniting DSPM & DLP to Secure Data in the AI Era

Enterprise security programs were built for a time when data lived in a small number of predictable locations. That model no longer holds. Today, data is constantly created, copied, transformed, and shared across cloud applications, endpoints, on-prem systems, and generative AI tools, often without clear visibility. Protecting data in the AI era requires three pillars: holistic visibility across the full data lifecycle, a deep understanding of data with context (e.g.

When AI Agents Create Their Own Reddit: Moltbook Highlights Security Risks in the Agentic Action Layer

A new platform, Moltbook, has attracted significant attention within the AI community. It is not famous because humans are posting there, but because autonomous AI agents are. Moltbook is a social network designed for AI agents to post, comment, upvote, and even form communities. Humans can observe these interactions but cannot participate. This experiment reveals a striking reality. AI agents are coordinating, sharing code, and developing complex cultures without human visibility.

What is Security Optimization? How to Find Gaps in Your Stack

Organizations invest heavily in security tools, yet many still struggle with underutilized capabilities, misconfigured controls, and fragmented visibility. Simply adding more tools doesn’t guarantee better security. In fact, it often leads to overlapping functionality, increased operational complexity, and wasted resources.

The Prescriptive Path to Operationalizing AI Security

In introducing the AI Security Fabric, we have outlined how security must evolve as software is built by humans, models, and autonomous agents working at machine speed. The Fabric defines the architectural shift required to build trust at AI speed, delivered through the Snyk AI Security Platform. We’re now focusing on the next question: how organizations put that vision into practice. Operationalizing AI security is not about enabling a single feature or deploying a tool.

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.

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.