Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

In early February 2026, users of Qinglong (青龙), a popular open source timed task management platform with over 19,000 GitHub stars, began reporting that their servers were maxing out CPU usage. The cause was a cryptominer binary called.fullgc, deployed through two authentication bypass vulnerabilities that allowed unauthenticated remote code execution. The attacks went largely unnoticed in the English-speaking security community.

In the modern software development lifecycle, the speed of innovation is often at odds with the security of our most sensitive data. As organizations embrace cloud-native development and AI-generated code, they face a phenomenon known as “secret sprawl”, aka, the uncontrolled and widespread distribution of API keys, passwords, and tokens across repositories, CI/CD logs, and developer collaboration tools.

JPMorganChase's Global Technology Leadership published "Fortifying the enterprise: 10 actions to take now for AI-ready cyber resilience" on April 17, 2026. It's a CISO mandate for every large enterprise. Snyk directly addresses 8 of those 10 actions — out of the box, in the developer workflow, with one platform.

Anthropic just open-sourced vulnerability discovery at scale. Now what? A few weeks ago, Anthropic launched Glasswing, a $100 million initiative to use AI to identify vulnerabilities at scale. Around the same time, they introduced Claude Mythos, a system that can autonomously discover and exploit software flaws. I wrote about this trajectory in my previous analysis: AI accelerates discovery, but enterprise trust still depends on deterministic validation, remediation automation, and governance at scale.

In November, we shared our vision for the Future of Snyk Container, outlining a fundamental shift in how teams secure the modern container lifecycle. We promised a future where security doesn’t just “scan” but scales effortlessly with the speed of the AI-driven, agentic world. Today, we are thrilled to announce that we are moving from vision to reality.

For a brief window, a widely used open source package in the AI ecosystem was compromised with credential-stealing malware. LiteLLM, a model gateway used to route requests to more than 100 LLM providers, has been downloaded millions of times per day. In that short window, the malicious versions were likely pulled tens of thousands of times before being caught.

In 2025, we embarked on a new journey to secure the most important technology transformation of this decade – generative AI. Our vision is to help companies secure their AI fast, so that they can innovate on the cutting edge and put AI and agentic use cases into production. To do this, we built Evo, the world’s first agentic orchestrator for AI security. The foundation of any product is customer needs.

On March 31, 2026, two malicious versions of axios, the enormously popular JavaScript HTTP client with over 100 million weekly downloads, were briefly published to npm via a compromised maintainer account. The packages contained a hidden dependency that deployed a cross-platform remote access trojan (RAT) to any machine that ran npm install (or equivalent in other package managers like Bun) during a two-hour window. The malicious versions (1.14.1 and 0.30.4) were removed from npm by 03:29 UTC.

In the age of AI-driven development, speed is the new baseline. But as AI agents accelerate the pace of coding, they also amplify the risk of security bottlenecks. At Snyk, we believe a superior Developer Experience (DX) is the only way to secure this new frontier. DX is not just a layer on top of the product. It is the foundation that allows developers to unleash AI innovation securely. We think of DX as a system of decisions that compound over time.

This week, we announced the general availability of Evo AI-SPM, the first operational layer of Snyk’s AI Security Fabric. AI-SPM gives security teams something they’ve never had before: a system of record for AI risk, with the ability to discover models, frameworks, datasets, and agent infrastructure embedded directly in code. For many organizations, that discovery step is a breakthrough.