Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

AI code generation is exactly what it sounds like — using artificial intelligence to write and improve code. Tools powered by large language models (LLMs) and specialized AI systems can help developers generate boilerplate code, fix bugs, and even refactor entire sections of an application. And developers are leaning in. According to a GitHub survey, 92% of developers have already used AI coding tools at work or on personal projects.

Snyk Learn, our developer security education platform, now includes lessons on API security! Check out the new learning path that covers the OWASP Top 10 for API security risks. APIs power the modern web, connecting applications and services in ways that drive innovation and efficiency. However, with this interconnectivity comes significant security risks.

As developers continue to adopt AI tools to transform their workflows, AI-generated code has become more common. In fact, 96% of developers reported using AI coding assistants to streamline their work. Although generative AI (GenAI) tools like ChatGPT can speed up workflows and boost productivity, the security and quality of the outputs aren’t guaranteed.

JWTs are often used by developers who seek to implement authentication over traditional cookie-based sessions. However, what happens when developers misunderstand JWT security and risk a severe broken authentication vulnerability?