While shifting security left has been a hot topic for around a decade, many organizations still face issues trying to make it a reality. There are many misconceptions about what shift left means and what it looks like for development teams to take ownership of security without derailing their existing workflows.

We are pleased to introduce Semantic Versioning and release channels to Snyk CLI from v.1.1291.0 onwards. In this blog post, we will share why we are introducing these changes, what problems these changes solve for our customers, and how our customers can opt-in according to their needs.

Application development is a multistage process. The App goes through various stages, each with its own area of focus. However, application security, a.k.a. AppSec, is constant throughout all the stages. For example, when a developer codes, it’s expected that the code will be secure. Similarly, the artifacts that are worked upon or generated as an end output of the respective stages are all required to be secure.

DeepCode AI Fix is an AI-powered feature that provides one-click, security-checked fixes within Snyk Code, a developer-focused, real-time SAST tool. Amongst the first semi-automated, in-IDE security fix features on the market, DeepCode AI Fix’s public beta was announced as part of Snyk Launch in April 2023. It delivered fixes to security issues detected by Snyk Code in real-time, in-line, and within the IDE.

The role of a Chief Information Security Officer (CISO) is critical in an interconnected business environment. A modern CISO will ensure that their organization is well-prepared to handle the myriad of cybersecurity challenges it faces. It is multifaceted, extending beyond traditional IT security to encompass various responsibilities to protect an organization's information assets.

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.

The vulnerability lies in the way HTTP/2 implementations handle CONTINUATION frames, which are used to transmit header blocks larger than the maximum frame size. Attackers exploit this weakness by sending an excessive number of CONTINUATION frames within a single HTTP/2 stream. This flood of frames overwhelms the server's capacity to process them efficiently.