AI Transparency Center Close To search repositories and projects, login to gitlab.com . Suggestions GitLab Duo Agent Platform Code Suggestions (AI) CI/CD GitLab on AWS GitLab on Google Cloud Why GitLab? * Platform Execution & Workflows * CI/CD * Source Code Management * Agile Delivery Security & Governance * Application Security Testing * Governance & Compliance * Supply Chain Security Context & AI * Agentic Orchestration * Context Graph * Visibility & Measurement Explore the Platform Why GitLab One platform for speed with control across your software lifecycle. Learn more * Solutions Outcomes * DevOps Modernization * Security Modernization * AI Modernization By size * Enterprise * Small Business * Startups Industries * Financial Services * Public Sector * Telecommunications * Automotive * Education * Aerospace View all Solutions GitLab Transcend Catch our latest innovations announced at the last Transcend. 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Jump to a section * Core values * AI ethics principles * AI continuity plan * Model vendor selection guidelines * AI documentation * Resources Core values GitLab values the trust our customers place in us and we take this responsibility seriously. In keeping with our core Transparency value, we’ve adopted a transparency- and privacy-first approach to help safeguard our customers’ data and intellectual property. View our core values AI ethics principles Ethics play a critical role in building AI features. That is why GitLab published our AI Ethics Principles for Product Development to help guide us as we continue to build and evolve our AI functionality and features. We are continuously working to build and improve our AI features, so these principles may naturally evolve over time. We will continue to review these principles and iterate as necessary to reflect the best practices in responsible AI development. Read our AI Ethics Principles for Product Development AI continuity plan Today, GitLab’s AI features are powered by a diverse set of models, which allows us to support a broad set of use cases and gives our customers flexibility. Unlike some other DevOps platforms, GitLab is not tied to a single model provider by design. GitLab’s AI Continuity Plan transparently lays out our process for selecting new AI vendors and how we intend to address any material changes our AI vendors may make to their practices with respect to the use of customer data. Read our AI Continuity Plan Model vendor selection guidelines GitLab is committed to partnering with AI model vendors who share our values around privacy, security, and transparency. Our Model Vendor Selection Guidelines outline the framework we use to evaluate and select the vendors who develop and host the models powering GitLab Duo, covering core requirements across data privacy, ethical considerations, risk allocation, security, performance, and sustainability. Read our Model Vendor Selection Guidelines AI documentation The GitLab Duo documentation clearly outlines: * Each of our AI features and their intended purposes * Which models are powering each of our AI features * How we use your code and other data * Our AI model vendors’ current retention periods * The current status (experiment/beta/GA) of each AI feature * The GitLab tiers and offerings that include access to each AI feature View our GitLab Duo documentation Resources GitLab Trust Center It's our mission to be the leading example in security, innovation, and transparency. Learn more GitLab Privacy Statement Learn more about how GitLab handles your personal data. Learn more Frequently asked questions Show all What large language models (LLMs) power the AI features in your platform? Different LLMs have different strengths, so setting up your AI architecture with multiple models for specific use cases can be a path to success. However, it’s important to ensure that DevOps providers are transparent about the LLMs they utilize for their AI features as well as details about where the LLMs are hosted. GitLab Duo features aren’t powered by a single model. We have built GitLab Duo with the flexibility to use the model that provides the right result for each use case. We continue our commitment to transparency by clearly identifying the models powering GitLab Duo features in our publicly available documentation . Who has control of and access to the models? GitLab Duo is powered by third-party models hosted on cloud infrastructure, and the vendors of these models and the terms on which they provide services to GitLab were chosen as they support GitLab’s commitment to privacy and the protection of customer intellectual property. We list all our subprocessors clearly on our subprocessors page , and customers can sign up to be notified when updates are made to this page. Will my data be used to train models? GitLab does not currently train its own models. No inputs to or outputs from GitLab Duo features are currently used to train any GitLab models. Our AI vendors are under data protection agreements with GitLab that prohibit the use of prompts or output associated with GitLab's customer ID for their own purposes, except to perform their independent legal obligations. Who owns the inputs entered into AI features? With GitLab Duo, your inputs remain your content. GitLab makes no claim of ownership in your input. See our AI Functionality terms for more details. Who owns AI-generated output and the resulting code? While the legal and regulatory landscape related to AI-generated output is developing, GitLab’s position is clear. GitLab does not claim ownership of any output generated by GitLab Duo. Output generated by GitLab Duo can be used at your discretion. See our AI Functionality terms for more details. What protection does GitLab provide to alleviate customer concerns related to the perceived risks of using AI-generated output? GitLab will indemnify GitLab Duo customers and protect their right to use output generated by GitLab Duo, including covering defense costs arising from claims that GitLab-Duo-generated output infringes a third party’s intellectual property rights. Similarly, GitLab will also pay amounts of a final adverse judgment or approved settlement related to those claims. GitLab protects these customers’ right to use output generated by GitLab Duo as long as they: * have not modified the output; * have a valid right to use their inputs; * have paid for the AI feature(s); * are not using self-hosted models; and * have no knowledge that the output is infringing before using or otherwise relying on it. This indemnity extends to output generated by GitLab-developed agents in the GitLab Duo Agent Platform. Customers do not need to enable or activate any filters to receive this protection. See our AI Functionality terms for more details. What are the terms, policies, and commitments that govern the use of your AI features? DevSecOps providers should share specific documentation about how their AI features use your data. Here are the relevant resources for GitLab customers: * GitLab Subscription Agreement * AI Functionality Terms * GitLab Testing Agreement * GitLab Privacy Statement * Acceptable Use Policy * GitLab Duo Documentation Does GitLab.com's SLO or SLA include the availability of GitLab Duo features? GitLab will continue to retain its Service Level Objective (SLO) and monitor GitLab.com to report actual monthly Service Level Availability (SLA). Does GitLab have a framework for ensuring that it is building its AI features responsibly? GitLab has published AI Ethics Principles for Product Development to help guide GitLab as we build and iterate on our AI features. Why doesn’t GitLab publicly share GitLab Duo’s acceptance rates? GitLab does not publish GitLab Duo’s acceptance rates because measuring effectiveness with AI features is not a straightforward calculation. The measurement we are interested in evaluating is how using GitLab Duo can contribute to meeting customer business objectives. An example to consider: how would GitLab Duo, as part of your GitLab workflow, help your developers complete feature requests faster? For more information on our approach, please see this blog post . Does GitLab comply with the EU AI Act? GitLab does not currently develop or train its own AI models – please see above for our AI documentation, as well as our AI ethics principles and other resources. GitLab’s current AI features do not qualify as high risk AI systems under the AI Act, and comply with the Act’s requirements to the extent that they constitute limited-risk systems. GitLab provides a number of assurances with respect to our products’ compliance with applicable law, such as GitLab’s Privacy Statement, Subscription Agreement, AI Functionality Terms, and Testing Agreement (which applies to GitLab’s experimental and beta AI features), all available here . What is the role of human involvement in GitLab Duo Agent Platform? GitLab Duo Agent Platform is designed to assist with and accelerate development workflows while supporting human involvement throughout the software development lifecycle. Customers retain control over their deployment processes and governance frameworks. We encourage customers to establish appropriate human involvement in the design of workflows and review processes at key decision points, which includes but is not limited to code review, testing, validation, and deployment approval. Start building faster today See what your team can do with the intelligent orchestration platform for DevSecOps. Get your free trial Contact sales ® Footer links Pricing * View plans * Why Premium? * Why Ultimate? 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