On October 31st, 2024, another package compromise and cryptocurrency hijack story unfolded for a popular npm package.

Continuous vulnerability management is not just a best practice—it's a necessity. With so many open-source dependencies to choose from (almost 3 million on the npm registry!), it’s no wonder supply chain security incidents are the focus of malicious actors. Let’s not forget the rise of ChatGPT, LLM chatbots, and AI-assisted code generation.

7 hours. That’s how long, on average, a developer takes to remediate a security issue in their code. Vulnerability detection is improving rapidly and scaling, but remediating security risks is still a tedious, time-consuming process that takes developers away from their core work. And now, with AI-generated code introducing vulnerabilities at greater speed and volume than ever before, remediation is taking even more time.

During the long-awaited Snyk Launch 2024, we announced the exciting general availability of Snyk Code's auto-fixing feature, DeepCode AI Fix, powered by our AI machine, DeepCode AI! To celebrate this milestone, let’s explore how Snyk’s AI-powered features differentiate our approach to application security. AI is on everyone's minds, along with its countless applications that offer a wide variety of solutions (and issues).

The automotive industry is at a unique inflection point in its history with the advent of the Software Defined Vehicle (SDV). During the Society of Automotive Engineers (SAE) World Congress held in Detroit April 16th - 18th, 2024, it was explicitly stated there is more than a $500 billion market that will see investment in R&D and technological advancements for the automotive industry.

As apps become more complex and development speeds up with DevOps, cloud-native tech, and AI, having a comprehensive approach to managing application risk is more important than ever. Traditional methods just aren’t cutting it anymore. Security teams are overwhelmed by vulnerabilities, and developers aren’t getting the guidance they need on what to focus on first. This gap between security and development is leaving apps more vulnerable.

Your developer team is growing rapidly, and modern applications are becoming increasingly complex. With the rise of GenAI, both developer productivity and security risks are on the rise; How can your application security stay ahead? Snyk Analytics is our most powerful solution yet for AppSec leaders seeking to gain the visibility and insights needed to proactively address security threats.

DevOps has dominated the 21st-century software industry as a powerful methodology for streamlining processes and improving collaboration between development and operations teams. However, as organizations shift towards this model, a critical aspect is often overlooked: security. This led to the advent of DevSecOps, an approach that aims to bridge the gap by integrating security practices into DevOps workflows.

Context switching can be security’s worst enemy. Today’s security practices require developer buy-in, and when security teams require developers to deviate from their established workflows to address issues, adoption becomes far less likely. To truly empower developers to find and fix vulnerabilities within their code, security teams must shift security even further left. It’s not enough to simply provide user-friendly tools and training around them.

Important note: there may be other CVEs issued related to these vulnerabilities and others detected by Simone, the original researcher. We will update this blog with new details as needed.

Generative artificial intelligence (GenAI) has already become the defining technology of the 2020s, with users embracing it to do everything from designing travel itineraries to creating music. Today’s software developers are leveraging GenAI en masse to write code, reducing their workload and helping reclaim their valuable time. However, it’s important developers account for potential security risks that can be introduced through GenAI coding tools.

Snyk Code is a powerful tool designed to help developers identify and automatically fix vulnerabilities in their source code. It eliminates flow interruptions and repeated work by detecting and resolving security issues in real time with over 80% autofixing accuracy. It integrates seamlessly with your development workflow, providing real-time feedback on security issues directly within your IDE, CLI, or SCM.

After almost a decade in business, we’ve had the opportunity to watch the software development industry change dramatically. Developers work with more moving parts than ever, relying on technologies like third-party resources and AI coding assistants to release sophisticated software on tight deadlines. While we’ve been talking about the relationship between development and security for the past decade, the DevSecOps conversation has shifted quite a bit.

This story starts when Sébastien Lorber, maintainer of Docusaurus, the React-based open-source documentation project, notices a Pull Request change to the package manifest. Here’s the change proposed to the popular cliui npm package: Specifically, drawing our attention to the npm dependencies change that use an unfamiliar syntax: Most developers would expect to see a semver version range in the value of a package or perhaps a Git or file-based URL.

What are some of the growing cybersecurity risks in the modern software development landscape that keep CISOs busy? Developers and security teams face an ever-increasing array of threats, from sophisticated open source and vendor-controlled supply chain attacks to vulnerabilities introduced by AI-generated code like prompt injection and poor code security by GitHub Copilot.

Snyk, a leading provider in developer security, is excited to share that we’ve been named a Customers’ Choice in the 2024 Gartner Peer Insights Voice of the Customer for Application Security Testing for a third consecutive year. Gartner defines the Application Security Testing category as products and services designed to analyze and test applications for security vulnerabilities. This distinction is based on meeting or exceeding user interest, adoption, and overall experience.

Most modern applications contain a substantial number of open source packages, libraries, and frameworks. In fact, it's estimated that at least 80% of the source code in modern applications is from open source. In addition to relying heavily on commodity components to build applications, development teams often deploy these apps and services via community-sourced container base images.