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By integrating SAST directly into our Azure DevOps pipelines, we catch issues like SQL injection, cross-site scripting, and insecure authentication patterns before they reach production.

Discover how AI is transforming the Software Development Life Cycle (SDLC). Learn the benefits, challenges, and real-world use cases of AI-powered software development.

Protect your applications from buffer overflow attacks with a multi-layered security approach. Learn how SAST, DAST, runtime protections, and Snyk’s proactive tools help detect, prevent, and remediate memory corruption vulnerabilities in C/C++ and other high-risk environments.

Toxic Flow Analysis maps how sensitive data moves across systems to uncover hidden risks, strengthen defenses, and improve security posture.

Discover the top 5 AI cloud security best practices to protect your AI models, data, and pipelines. Learn how to secure AI systems in the cloud against emerging threats with this comprehensive guide.

Anthropic's Claude Code is evolving into a customizable agent framework. Learn about 7 new features: extended thinking, tool use, MCP, memory, and secure execution.

AI code assistants demand a new AppSec governance model. Shift from late-stage "gatekeepers" to real-time "guardrails" with Policy-as-Code and developer-first security. Learn how to secure Al-generated code from inception.

Explore this cheat sheet for JavaScript/TypeScript developers on integrating Google's Gemini Nano Banana model. Master the AI SDK, prompt engineering, image generation, Data URL conversion, and security best practices with Snyk Studio.

A deep dive into toxic flows in MCP and how AI agents can unintentionally create attack paths across tools, data, and systems.

Vibe coding accelerates development but risks security. Learn how Andrej Karpathy's viral term describes Al-driven, minimal-oversight coding, and why it leads to XSS, SQL injection, and data leaks. Read the security implications and best practices.

Harden your npm environment against supply chain attacks like Shai-Hulud. Learn 12 essential best practices for developers and maintainers, covering post-install scripts, 2FA, provenance, and deterministic installs.

AI-native apps break traditional AppSec. Learn why dynamic models, agents, and model-layer risks demand a modern, AI-aligned security approach.

Implement the governance and tooling necessary to innovate responsibly and securely in the age of autonomous code.

Integrate security directly into your AI coding workflow. Learn how to use the open-source Continue AI coding assistant with Snyk Studio's Model Context Protocol (MCP) to automatically detect, fix, and verify high-severity vulnerabilities like SQL Injection, all without leaving your IDE.