Snyk

White Papers

What you need to know about the Cyber Resilience Act (CRA)

Simplify Cyber Resilience Act Compliance Staying ahead of cybersecurity regulations like the Cyber Resilience Act (CRA) doesn’t have to be daunting. Snyk’s new cheat sheet, What You Need to Know About the Cyber Resilience Act, simplifies compliance by breaking down the key steps to align with this critical regulation. Inside, you’ll learn: • How to integrate cybersecurity throughout the product lifecycle, from development to maintenance. • The importance of vulnerability management, SBOMs, and secure-by-design principles in meeting CRA standards. • How Snyk can help you automate vulnerability scanning, generate compliance reports, and streamline your security processes.

Buyer’s Guide for Developer Security Tools

The movement to shift security earlier into the software development lifecycle (shift left) and make it a continuous process (DevSecOps) has created challenges and opportunities for companies. The purpose of shifting left is to build security into the fast, iterative development processes of modern apps, and reduce the security backlog early, in the same way other code issues are reduced. Success in this endeavor means fewer security issues get shipped with the production code and discovered later, when it’s more expensive and burdensome to fix them. Shifting left requires tools that support these capabilities, enabling developers to find and fix issues as they work and empowering them to be self-sufficient. But there are challenges that must be overcome for shift left to work. Traditionally, security tasks are handled by a team of experts who work separately from developers. However, the rise of DevSecOps and the decentralization of code security makes silos unsustainable — security needs to scale alongside development. To shift security left and make it continuous, developers must become quasi-security practitioners themselves. Download to find out more.

AI Code, Security, and Trust: Organizations Must Change Their Approach

AI coding assistants have achieved widespread adoption among developers across all sectors. However, many developers place far too much trust in the security of code suggestions from generative AI, despite clear evidence that these systems consistently make insecure suggestions. Unfortunately, security behaviors are not keeping up with AI code adoption. Technology organizations need to protect themselves against AI code completion risks by automating more security processes and inserting the right guardrails to protect not only against bad AI code but also against the unproven perception that AI-generated code is always superior to novel human code. Download to find out more.