Learn how Snyk's MCP server brings agentic security to container workflows. Automate vulnerability scanning and base image recommendations directly within your AI-powered IDE.| Snyk
Speed up security for AI generated code with a security companion that works alongside generative AI, enabling both efficiency and security at scale.| Snyk
Today, we want to provide a glimpse at how Snyk currently uses AI and data science, as well as a sneak peek at what’s to come.| Snyk
Learn more about the 7 stages of Static Application Security Testing (SAST) scanning, its pros and cons, and how it can help keep your source code secure.| Snyk
Discover why AI Trust is crucial for secure, scalable software development in the AI era. Learn how Snyk's AI Trust Platform helps you manage risk, enforce policies, and ensure continuous compliance.| Snyk
Secure and accelerate your adoption of AI coding with pre-screened auto-fixes and autonomous code security for modern, developer-loved SAST.| Snyk
The pace of technological change is always fast, but with AI everywhere, things have gone into overdrive. In Australia and New Zealand, businesses plan to spend heavily on generative AI—about $15 million on average, more than the global average. This puts immense pressure on technology, security, and engineering leaders.| Snyk
The Consortium for Information and Software Quality estimated that the cost of poor software quality in the United States reached $2.41 trillion in 2022. As we will show, it makes sense that the cost of poor software quality is so high. It’s also completely avoidable, and software flaws must be avoided with the world’s increased dependency on software.| Snyk
Snyk’s AI-Gnerated code report for 2023 surveyed over 500 software engineering and security team members and leaders for their views on AI code, security, and development.| Snyk