Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Foundations of trust: Securing the future of AI-generated code

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.

SnykLaunch Oct 2024: Enhanced PR experience, extended visibility, AI-powered security, holistic risk management

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.

The mysterious supply chain concern of string-width-cjs npm package

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.