GitLab Security and Governance
GitLab empowers your teams to balance speed and security by automating software delivery and securing your end-to-end software supply chain.
GitLab empowers your teams to balance speed and security by automating software delivery and securing your end-to-end software supply chain.
GitLab helps you secure your end-to-end software supply chain (including your source, build, dependencies, and released artifacts), create an inventory of software used (software bill of materials), and apply necessary controls.
GitLab helps you shift security left by automatically scanning vulnerabilities in source code, containers, dependencies, and running applications. Guardrail controls can be put in place to secure your production environment.
GitLab can help you track your changes, implement necessary controls to protect what goes into production, and ensure adherence to license compliance and regulatory frameworks.
Boost efficiency and reduce cycle times with the help of AI in every phase of the software development lifecycle.
We lead with a privacy-first approach to help enterprises and regulated organizations adopt AI-powered workflows.
A single application with built-in security to deliver more software faster, enabling executive visibility across value streams and preventing context switching.
From planning and code creation to testing, security, and monitoring, our AI-assisted workflows support developer, security, and ops teams.
Data protection by designEfficiency at the cost of privacy, security, and compliance is a nonstarter for you and us. With Code Suggestions, you keep your proprietary source code secure within GitLab’s cloud infrastructure and this code isn’t used as training data.
Make software delivery repeatable and on-demand
GitLab Continuous Integration and Delivery automates all the steps required to build, test and deploy your code to your production environment.
Continuous integration automates the builds, provides feedback via code review, and automates code quality and security tests. It creates a release package that is ready to be deployed to your production environment.
Continuous delivery automatically provisions infrastructure, manages infrastructure changes, ticketing, and release versioning. It allows, progressive code deployment, verifying and monitoring changes made and providing the ability to roll back when necessary. Together, GitLab Continuous Integration and Delivery help you automate your SDLC, making it repeatable and on-demand with minimal manual intervention.
Measure and manage the business value of your DevSecOps lifecycle.
Software development should always aim to maximize customer or business value delivery—but how do you identify inefficiencies in that delivery, and how can you course-correct when you do? GitLab’s Value Stream Management helps businesses visualize their end-to-end DevSecOps workstream, identify and target waste and inefficiencies, and take action to optimize those workstreams to deliver the highest possible velocity of value.
[1] Gartner “The Future of DevOps Toolchains Will Involve Maximizing Flow in IT Value Streams,” Manjunath Bhat, et al, 14 January 2020 (Gartner subscription required)
Value Stream Analytics helps you visualize and manage the DevSecOps flow from ideation to customer delivery. Out of the box, GitLab offers actionable reporting on common workflows and metrics, with nothing to install or configure. If you want to dive deeper or model custom workflows, GitLab’s unified, comprehensive data store makes it easy to track whatever events matter.
Drive continuous improvement based on the data from your value stream.