Discover how honeytokens, digital decoys designed to detect unauthorized access, can strengthen the security of your CI/CD pipelines. In this guide, we offer step-by-step instructions for integrating them into popular pipelines like Jenkins, GitLab, and AWS CodePipeline.
DevSecOps is all about better integrating security into the software development life cycle (SDLC). When combined with the desire to automate repetitive tasks, the inevitable conclusion is to put any repeatable testing tool into your app’s build pipeline. For any tooling that involves code analysis, it makes sense to sync up with existing testing workflows. That’s where CI comes in.
In today’s fast-paced software development environment, developers often use common public libraries and modules to quickly build applications. However, this presents a significant challenge for DevOps teams who must ensure that these applications are safe to use.
One of the exciting new features discussed at SnykLaunch today was Custom Base Image Recommendations (CBIR). In open beta since late 2022, CBIR is already being used by several organizations. We've been expanding the feature set as we approach general availability to include more flexibility and to incorporate hands-off automation capabilities, allowing users to leverage CBIR in their CI/CD pipelines.
In the continuous delivery (CI)/continuous delivery (CD) pipeline, one of the key ingredients to add to the pot is software composition analysis (SCA), an automated process that identifies the open source software in a codebase. We know that app development teams are under pressure to deliver releases with new features and fix bugs as quickly as possible–and before the competition does. Increasingly, they rely on CI/CD to build, test, and quickly add small updates.
If you’re a developer, devops or security engineer whose continuous integration (CI) systems rely on shared secrets for access management, you probably know firsthand the security risks that shared secrets present.
API security is a growing concern for businesses that offer or consume APIs. APIs, or application programming interfaces, allow different software systems to communicate and exchange data. They allow businesses to build integrations and connect with partners, customers, and other stakeholders. However, as more sensitive data is being shared through APIs, it is essential to ensure that these interfaces are secure and protected from unauthorized access or manipulation. In this blog post, we'll discuss how continuous fuzzing can be a powerful tool to secure APIs and how developers can adopt a "secure by default" approach by integrating continuous fuzzing into SDLC processes.
