Generative AI is an exciting technology that is now easily available through cloud APIs provided by companies such as Google and OpenAI. While it’s a powerful tool, the use of generative AI within code opens up additional security considerations that developers must take into account to ensure that their applications remain secure. In this article, we look at the potential security implications of large language models (LLMs), a text-producing form of generative AI.

If you spend quite a bit of time in the command line, working with Docker images and containers locally to build and test them, you might be in the mood for some power-user Docker commands. We're skipping the basics and diving straight into the lesser-known yet highly effective commands that can significantly improve your Docker experience.

Software development moves fast, and many application security teams struggle to keep up. More sophisticated agile, DevOps, and cloud practices, along with the growing use of AI, mean more agility for development teams. However, these innovations are a challenge for security teams, as they must move at this same speed in order to secure applications effectively. Application security posture management (ASPM) directly responds to these emerging challenges.

Developer teams worldwide are increasingly leveraging AI to accelerate the speed of software development. However, AI-generated code can bypass protocols from the security team, so developers may not be evaluating the code as often as they should. Snyk works alongside today’s modern development teams with the goal of harnessing the many benefits of AI-assisted coding, while also providing full trust that the code is secure.