To address the need for streamlined code changes and rapid feature delivery, CI/CD solutions have become essential. Among these solutions, GitHub Actions, launched in 2018, has quickly garnered significant attention from the security community. Notable findings have been published by companies like Cycode and Praetorian and security researchers such as Teddy Katz and Adnan Khan.

Today, the average application contains thousands of moving parts. Organizations deploy to multi-cloud environments with containers and microservices, using a combination of code written by internal teams, generated by AI, and curated by third parties. Security teams face a tall order in keeping these complex applications secure, especially given the increasing number of software supply chain attacks.

We are thrilled to announce the strategic partnership between Snyk and Snowflake, two industry leaders coming together to revolutionize data security and empower organizations worldwide. This partnership brings unparalleled benefits to our customers by combining the advanced capabilities of Snyk’s security data with the robust infrastructure of Snowflake's data platform, therefore equipping Snyk customers with powerful insights into their security posture.

In our latest report, Snyk surveyed security and software development technologists, from top management to application developers, on how their companies had prepared for and adopted generative AI coding tools. While organizations felt ready and believed AI coding tools and AI-generated code were safe, they failed to undertake some basic steps for secure adoption. And within the ranks, those close to the code have greater doubts about AI safety than those higher up in management.

There’s been a lot of excitement around generative AI technology over the past few years, especially in software development. Developers of all levels are turning to AI tools, such as GitHub Copilot, Amazon CodeWhisperer, and OpenAI’s ChatGPT, to support their coding efforts. In fact, GitHub found that 92% of developers use AI coding tools. However, many businesses are realizing that they need to be more cautious when using AI in software development.