Helping Build Secure Software Is Of Utmost Important To GitHub
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With consumer expectations higher than ever and increased pressure to lowercosts, efficient, collaborative, and secure workflows can help teams shift focusto where it matters most: Building the best, most innovative software for theircustomers.
Automation is important, but manual review of code will always remain a criticalcomponent of your security strategy. The more eyes on a given codebase, the morelikely errors or vulnerabilities are likely to be detected. Reviews also serve avaluable function beyond security, helping ensure that institutional knowledgeis shared, and providing learning and mentoring opportunities for developers ofall skill levels. The result of regular, organization-sanctioned reviews is acodebase that is not only more secure but also healthier and more consistent.
Some attacks on software supply chains target the build system directly. If an attacker can modify the build process, they can exploit your system without the effort of compromising personal accounts or code. It's important to make sure that you don't forget to protect the build system as well as personal accounts and code.
After your build process is secure, you want to prevent someone from tampering with the end result of your build process. A great way to do this is to sign your builds. When distributing software publicly, this is often done with a public/private cryptographic key pair. You use the private key to sign the build, and you publish your public key so users of your software can verify the signature on the build before they use it. If the bytes of the build are modified, the signature will not verify.
How exactly you sign your build will depend on what sort of code you're writing, and who your users are. Often it's difficult to know how to securely store the private key. One basic option here is to use GitHub Actions encrypted secrets, although you'll need to be careful to limit who has access to those GitHub Actions workflows. If your private key is only accessible from a private network, another option is to use self-hosted runners for GitHub Actions.
GitHub is a cloud-native software development leader, empowering more than 83 million developers to collaborate using open source and inner source. GitHub is committed to helping build safer and more secure software without compromising on the developer experience.
His appointment earlier this year also comes at a time when security threats are growing amid the pandemic, including the sophisticated SolarWinds attack allegedly conducted by nation-state actors that had subverted the software build environment to inject malicious code.
In a wide-ranging interview with Computer Weekly, Hanley shares his views on what the cyber threat landscape means for developers, what it takes to build secure software and his priorities for the year ahead.
That means the platform and tools we use have to be able to support increased traffic, with additional features and functionality to make sure the experience of collaborating on a platform is even better than what you could get in person. The nice thing is that GitHub was designed for highly remote and distributed teams. If you think about the open-source community, it was always distributed, and you always have people working together from around the globe to build software together.
Hanley: I think a lot of the projects that you just mentioned are super important to building trust into the broader software ecosystem which has been shaken with the unprecedented volume of supply chain attacks.
And we embed with teams to make sure they can focus on building things. We are there to support every phase of the design lifecycle and the security requirements that need to be baked in, from testing, deploying and securely operating a service. This might seem like a DevSecOps model by some definitions, but my approach is about the security team enabling engineering teams to be security superheroes.
While DevOps is a culture, the right stack of tools makes it possible to implement DevOps successfully. At its core and perhaps the most remarkable concept that the DevOps approach ever brought is the collaboration between the software development and operations teams. Also and importantly, the DevOps approach emphasis is on the automation of software development processes like build, test, incident detection and response, release, and others to yield a faster time-to-market, high-quality products, and reduced failures and rollbacks of software/software features.
Nevertheless, DevOps is today more than a collaborative culture and software development automation. It integrates emerging technologies like artificial intelligence (AI), machine learning (ML), the internet of things (IoT), and cloud computing. Far too many exceptional DevOps tool(s) for build, version control, configuration management, project management, incident management, and more have been developed. However, in this DevOps course, we shall examine only a few top tools under various DevOps processes and categories.
Gitlab CI/CD is a powerful tool that can help you automate your software development process. With Gitlab CI/CD, you can manage your code repositories, build and test your code, and deploy your applications with ease. Gitlab CI/CD is also highly scalable, so you can easily add more users and increase your productivity.
We have developed conventions for how to write Makefiles, which allGNU packages ought to follow. It is a good idea to follow theseconventions in your program even if you don't intend it to be GNUsoftware, so that users will be able to build your package justlike many other packages, and will not need to learn anything specialbefore doing so.
DevOps is a combination of cultural philosophies, practices, and tools that combine software development with information technology operations. These combined practices enable companies to deliver new application features and improved services to customers at a higher velocity. DevSecOps takes this a step further, integrating security into DevOps. With DevSecOps, you can deliver secure and compliant application changes rapidly while running operations consistently with automation.
Having a complete DevSecOps pipeline is critical to building a successful software factory, which includes continuous integration (CI), continuous delivery and deployment (CD), continuous testing, continuous logging and monitoring, auditing and governance, and operations. Identifying the vulnerabilities during the initial stages of the software development process can significantly help reduce the overall cost of developing application changes, but doing it in an automated fashion can accelerate the delivery of these changes as well.
Srinivas Manepalli is a DevSecOps Solutions Architect in the U.S. Fed SI SA team at Amazon Web Services (AWS). He is passionate about helping customers, building and architecting DevSecOps and highly available software systems. Outside of work, he enjoys spending time with family, nature and good food.
SLSA levels are like a common language to talk about how secure software, supply chains and their component parts really are. From source to system, the levels blend together industry-recognized best practices to create four compliance levels of increasing assurance. These look at the builds, sources and dependencies in open source or commercial software. Starting with easy, basic steps at the lower levels to build up and protect against advanced threats later, bringing SLSA into your work means prioritized, practical measures to prevent unauthorized modifications to software, and a plan to harden that security over time.
Generating a Software Bill of Materials (SBOM) as part of your DevOps process is an essential technique to help secure your software supply chain. SBOMs are becoming critical due to the growing prominence of supply chain attacks such as Solarwinds, maintainers intentionally adding malware like node-ipc, and severe vulnerabilities like Log4Shell.
Generally github is for maintaining a large number of files & directories related to one task. For example software code of a project, website files, documentation files of a particular topic etc. Where as gist is for maintaining a personal notes of a task in markdown format.
Each level builds on the work achieved in prior levels, with higher levels putting more of the requirements into infrastructure components that form the supply chain: the build service, starting at level 2, and the source control service, starting at level 3. At level 4, all requirements have been fulfilled, giving the software consumer a high degree of confidence that the software has not been tampered with.
After completing this course, students will be able to: Evaluate and improve the quality of an existing piece of softwareApply best-practice principles and patterns to design and implement software that is easy to understand and modifyEmploy modern testing and verification techniques to assess the correctness of a piece of softwareDevelop reliable, secure software
Course grades will likely be determined based on the following assessments (grade weights are tentative at this time): Individual Assignments (40%): There will be five assignments (three programming, two written) over the course of the semester based on the major topics of the course. These assignments are to be completed individually. Group Project (30%): Students will work in a group of 3-4 students to improve and add functionality to an existing software system. Final Exam (25%): A cumulative, take-home exam will be administered on the last day of the course. Class Contributions (5%): In order to build a community among class participants, students are expected to identify articles, videos, podcasts, etc. related to the software development industry and to share a summary and reflection on the course discussion board. 2b1af7f3a8