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.
Most SaaS engineering teams use the CI/CD pipeline for software development. Since a CI/CD approach enables faster, more collaborative, and more efficient development processes, leading to higher-quality software. No wonder that this is popular. More frequent release cycles mean more opportunities for vulnerabilities to creep into the code. While DevOps teams are central to running a CI/CD pipeline, since application security is gaining importance, more engineering teams are adding DevSecOps teams.
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.
This post discusses how GitHub Actions can enhance the security of CI/CD pipelines by automating security-related tasks and providing integration with other security tools, version control, access control, and auditing. These days, security has become more important than ever in software development processes.
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.
Continuous integration/continuous delivery (CI/CD), promises to help deliver software faster and more reliably. It does this by pushing frequent updates and fixes regardless of size and using automation tools to help the process run smoothly. According to Gartner, CI/CD is the most common agile practice currently being adopted by organizations. So how does CI/CD work and why is it critical for DevOps teams?
