WaveMaker has updated its platform in response to customer demand for more sophisticated API and code management tools.
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 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
Vercara announced the launch of UltraAPI™, a product suite that protects APIs and web applications from malicious bots and fraudulent activity while ensuring regulatory compliance.
Legit Security announced the launch of its standalone enterprise secrets scanning product, which can detect, remediate, and prevent secrets exposure across the software development pipeline.
Progress announced a strategic partnership with Veeam® Software, the #1 leader by market share in Data Protection and Ransomware Recovery, to provide customers with an enterprise-ready cyber defense solution that strengthens the security of their business-critical data.
GitGuardian released its Software Composition Analysis (SCA) module.
DataStax announced a milestone in its journey to simplify enterprise retrieval-augmented generation (RAG) for developers by integrating with Microsoft Semantic Kernel.
Check Point® Software Technologies Ltd. is collaborating with NVIDIA to enhance the security of AI cloud infrastructure. Integrating NVIDIA BlueField DPUs, which feature a broad range of purpose-built, innovative security capabilities, the new Check Point AI Cloud Protect solution will help prevent threats at both the network and host levels.
Sentry announced the release of Autofix, an AI-powered feature to debug and fix code in minutes, saving important time and resources.
Apiiro announced a product integration and partnership with Secure Code Warrior, the agile developer security training platform, to extend its ASPM technology and processes to the people layer.
Progress announced that Progress® Semaphore™, its metadata management and semantic AI platform, was named a Champion in SoftwareReviews’ 2024 Metadata Management Emotional Footprint Awards.
The Cloud Native Computing Foundation® (CNCF®) has partnered with Udemy, an online skills marketplace and learning platform.
GitLab has acquired Oxeye, the provider of a cloud-native application security and risk management solution.
GitHub announced that code scanning autofix, powered by GitHub Copilot and CodeQL, is available in public beta for all GitHub Advanced Security (GHAS) customers.
NetApp is collaborating with NVIDIA to advance retrieval-augmented generation (RAG) for generative AI applications.
CalypsoAI launched the CalypsoAI Platform, an advanced SaaS-based security and enablement solution for generative AI applications within the enterprise.