In my previous blog post, I looked at how software supply chain attacks work and what you can do to assess and analyze your security posture. Now, let’s figure out how to use the resultant information to harden your software supply chain against threats.
We’re using more code, software components, and dependencies than ever before, making security breaches an ever-growing threat. It’s easy for developers and DevOps teams to neglect dependency updates when faced with such high volume, but doing so allows applications to fall behind the latest versions if not properly managed. This typically leaves applications using outdated dependencies, which exposes them to ever-increasing security debt and risk.
When it comes to applications and software, the key word is ‘more.’ Driven by the needs of a digital economy, businesses depend more and more on applications for everything from simplifying business operations to creating innovative new revenue opportunities. Cloud-native application development adds even more fuel to the fire. However, that word works both ways: Those applications are often more complex and use open-source code that contains more vulnerabilities than ever before.
DevSecOps best practices are increasingly being adopted to secure software supply chains. The challenge is finding ways to optimize these processes. Here are seven key considerations to help you adopt a successful and secure DevSecOps methodology.
Our threat research team recently uncovered new npm packages that are used to download a new info-stealer variant that uses the popular Electron framework to disguise itself as a legitimate application. In this blog post, we’ll analyze the attack flow of this new info-stealer we detected and explain how it can stay undetected by abusing trusted development tools like Electron.
As modern software becomes increasingly cloud-based and containerized, application security tools must adapt to meet new challenges and provide security coverage across the software development lifecycle (SDLC). The use of container platforms like Docker and orchestration tools like Kubernetes inherently solves some security concerns – but containers are not without risk, and can even inject some new risks into your organization’s software.
