GitLab announced the general availability of GitLab Duo Self-Hosted.
The previous chapter in this WhiteHat Security series discussed Codebase as the first step of the Twelve-Factor App and defined a security best practice approach for ensuring a secure source control system. Considering the importance of applying security in a modern DevOps world, this next chapter examines the security component of step two of the Twelve-Factor methodology.
Start with Security and the Twelve-Factor App - Step 1
Here follows some actionable advice from the WhiteHat Security Addendum Checklist, which developers and ops engineers can follow during the SaaS build and operations stages.
Defining Dependencies in the Twelve-Factor App
All the environments in which code runs will need to have some dependencies, such as a database or an image library. The second step of the Twelve-Factor app methodology refers to the management of application dependencies, and calls for these dependencies to be explicitly declared and isolated. Apps built according to Twelve-Factor declare all dependencies completely and exactly via a dependency declaration manifest. Additionally, it uses a dependency isolation tool to make sure that no implicit dependencies ‘trickle in’ from the surrounding system. Irrespective of the tool chain, this step advocates that dependency declaration and isolation must always be used together.
The benefit it creates is a simplified setup for developers new to the app, who can examine and set up the app’s codebase onto their development machine needing only the language runtime and dependency manager installed as fundamentals.
Applying Security to Dependencies
Most modern applications consist of just 10% of built code, and up to 90% of borrowed code. Because open source is used everywhere, it’s logical that it can enter the code from everywhere and often, application security vulnerabilities come along with it. According to the National Vulnerability Database(link is external) more than 5,000 new vulnerabilities are disclosed in open source software each year. And it’s these vulnerabilities that pose the biggest security risk to applications. The Department of Defense and Security says that of all recorded security threats in the U.S., 90% occurred as a result of exploits against defects in software, rather than holes in the network.
In order therefore to ensure application security, it’s important to have an understanding of what third party dependencies are in your code. Are they affected by known security vulnerabilities? Are they up-to-date and do they comply with license policies?
Software Composition Analysis (SCA) is one solution that provides in-depth visibility into the third-party and open source dependencies that have been integrated into your applications, helping you to understand potential application vulnerabilities and the overall security posture of your web and mobile applications. SCA can help you accelerate the time-to-market for applications by allowing you to safely and confidently utilize third party code, without introducing unnecessary risk.
■ Know your composition. Software composition analysis will enable you to identify third party and open source dependencies that have been integrated into your applications. Build a portfolio of dependencies consumed by your applications and where those applications are deployed. In the event a third-party dependency becomes vulnerable, you should be able to quickly identify what applications are impacted and where those applications are deployed.
■ Know your risks. Software composition analysis also provides information about license risks and can therefore help organizations reduce these risks that may be hidden in open source agreements. This extends to identifying and remediating those dependencies that may introduce security and/or legal risks. It is not uncommon for an application to contain 10 or more explicitly declared dependencies and over 40 implicitly declared dependencies, totaling 40 or more dependencies. That’s a lot of potential risk!
■ Review dependencies regularly. Now that you know what risks each of these dependencies uses, it will be easy to identify and remove those ones that conflict with business policies. Automate the extraction of composition and liabilities and enforce risk acceptance policy via integration into the build pipeline.
Considering most code is open source, and that applications are a popular attack surface, coupled with further targeted attacks on vulnerabilities in open source code, SCA is an integral part of application security, and secure DevOps. It therefore has a critical role to play in the Twelve-Factor app and for any developer using the methodology, it should be an automatic part of Factor 2’s security checklist.
Industry News
Tigera announced the introduction of several new innovations to Calico, including a new Ingress Gateway capability for Calico Cloud and Calico Enterprise, and the launch of Calico Dashboards.
Copado introduced three AI-powered DevOps apps for Slack.
Gearset announced that it now supports Salesforce's Agentforce.
Sonar announced the acquisition of AutoCodeRover, an autonomous AI agent platform for software development.
Faros AI announced a collaboration with Microsoft to deliver its AI-powered platform for optimizing engineering workflows on Azure.
Apollo GraphQL announced the general availability of Apollo Connectors for REST APIs and new GraphOS platform enhancements — giving enterprises a faster, more efficient way to execute their API strategies.
Check Point® Software Technologies Ltd.(link is external) announced that its Check Point CloudGuard solution has been recognized as a Leader across three key GigaOm Radar reports: Application & API Security, Cloud Network Security, and Cloud Workload Security.
LaunchDarkly announced the private preview of Warehouse Native Experimentation, its Snowflake Native App, to offer Data Warehouse Native Experimentation.
SingleStore announced the launch of SingleStore Flow, a no-code solution designed to greatly simplify data migration and Change Data Capture (CDC).
ActiveState launched its Vulnerability Management as a Service (VMaas) offering to help organizations manage open source and accelerate secure software delivery.
Genkit for Node.js is now at version 1.0 and ready for production use.
JFrog signed a strategic collaboration agreement (SCA) with Amazon Web Services (AWS).
mabl launched of two new innovations, mabl Tools for Playwright and mabl GenAI Test Creation, expanding testing capabilities beyond the bounds of traditional QA teams.
Check Point® Software Technologies Ltd.(link is external) announced a strategic partnership with leading cloud security provider Wiz to address the growing challenges enterprises face securing hybrid cloud environments.