Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Snyk announces Anthropic updates: Evo integrates with Claude Enterprise, and Snyk Desk comes to Claude Desktop

Today, we're announcing two new integrations with Anthropic that cover both sides of AI-assisted development. Evo by Snyk now integrates with Anthropic's Claude Enterprise, giving security and compliance teams a complete inventory of their Claude environment models, approved MCP servers, per model risk signals, and tool-level permissions in the platform they already use to govern the rest of the stack.

Securing The AI Revolution: How Snyk And Our Partners Are Scaling For The Future

Snyk started as a classic product-led growth company. For our first two years, we didn't need a sales team — the product sold itself to developers. That's a rare thing, and we're proud of it. It meant we had genuine product-market fit before we had a go-to-market motion. But markets evolve, and so did we. Today, AI coding agents are generating code at a velocity that significantly outpaces the ability of security teams to review it.

Episode 15 - The Right Eyes: Mythos, and the Future of Vulnerability Discovery

The emergence of advanced large language models like Anthropic's Mythos represents an epochal shift in cybersecurity, fundamentally altering how zero-day vulnerabilities are surfaced and remediated. In this episode, host Richard Bejtlich sits down with Corelight Co-founder Greg Bell to analyze the security implications of this AI-driven bug explosion, highlighting recent AI-assisted vulnerability discoveries across infrastructure mainstays like FreeBSD and Firefox.

Reduce CVE noise with OpenVEX assessments in Datadog

Software composition analysis (SCA) tools have become essential in modern security programs. They continuously scan software supply chains and match component fingerprints against Common Vulnerabilities and Exposures (CVE) databases to surface vulnerabilities in dependencies. SCA tools are effective at scale, but they introduce a persistent challenge: Not every flagged vulnerability actually presents a risk.

Why AI Alone Isn't Improving Vulnerability Remediation

AI is widely used in exposure management, but most implementations stop at prioritization and analysis. While AI improves visibility and decision-making, remediation still depends heavily on manual ownership, coordination, and inconsistent processes. To truly improve vulnerability remediation outcomes, AI needs to extend into the execution layer, helping identify owners, define remediation plans, and deliver fix-ready work that turns decisions into action.

Next.js Vulnerability Exposes Credentials and Protected Data - Why Runtime API Security Matters

A newly disclosed security issue, tracked as CVE-2026-44578, affecting Next.js applications is raising concerns across the developer and security communities after researchers identified multiple authorization bypass and middleware evasion paths that could expose protected application data and credentials. The vulnerabilities impact several versions of Next.js and allow attackers to bypass middleware-based authorization controls using crafted requests and route manipulation techniques.

Emerging Threat: (CVE-2026-20182) Cisco Catalyst SD-WAN Authentication Bypass

CVE-2026-20182 is an authentication bypass vulnerability in Cisco Catalyst SD-WAN Controller (formerly vSmart) and Cisco Catalyst SD-WAN Manager (formerly vManage). The flaw sits in the peering authentication path of the vdaemon service running over DTLS on UDP port 12346, the same control-plane service involved in CVE-2026-20127 earlier in 2026. It is not a patch bypass of that earlier issue, but a separate weakness in the device-type handling of the control connection handshake.

Emerging Threat: (CVE-2026-42945) NGINX Rift Heap Overflow in Rewrite Module

CVE-2026-42945, nicknamed "NGINX Rift", is a heap buffer overflow in the ngx_http_rewrite_module component of NGINX. It has sat in the project's source code since 2008. F5 disclosed the flaw on May 13, 2026, after responsible disclosure by researchers at depthfirst, who reported finding it through an autonomous code scanning system.