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Reload to refresh your session. You signed out in another tab or window. Reload to refresh your session. You switched accounts on another tab or window. Reload to refresh your session. Dismiss alert Trust Center Securing GitHub Privacy Security Lab Accessibility GitHub Trust CenterTrust at GitHub Develop, scale, and innovate securely with GitHub. Explore GitHub EnterpriseContact sales Learn about our products GitHub Copilot FAQ We enable developers and organizations to maximize their potential by prioritizing security, privacy, compliance, and transparency as we develop and iterate on GitHub Copilot. See the GitHub Copilot Trust Center GitHub Enterprise Cloud FAQ A scalable and secure cloud-based unified software development platform that meets the demands of the world’s leading organizations. See the GitHub Enterprise Cloud Trust Center Let's build together more securely The world’s most adopted AI-powered developer platform Explore GitHub EnterpriseContact sales Additional resources GitHub Advisory Database Boost your software security with access to GitHub's comprehensive vulnerability database. Explore the database Found means fixed Fix security vulnerabilities 7x faster than the industry average with GitHub Advanced Security. Check out GitHub Advanced Security GitHub Security Lab Learn about new vulnerabilities, insecure patterns, and security practices from our experts. Read the research Frequently asked questions AI Regulation What is GitHub's commitment to AI? GitHub is committed to the advancement of safe, secure, and trustworthy AI. We believe in the power of AI to enhance efficiency and innovation across the software development life cycle to increase developer happiness. From GitHub Copilot to hosting open source models, GitHub continues to ensure that AI advancements are accessible and beneficial to all. What standard does GitHub follow for AI? GitHub follows Microsoft's Responsible AI Standard in designing, building, and testing its AI systems in our products. The Microsoft RAI Standard has six principles–accountability, transparency, fairness, reliability & safety, privacy & security, and inclusiveness–that product teams consider in order to responsibly develop and deploy generative AI systems. These principles align with our commitment to develop safe, secure, and trustworthy AI systems. Furthermore, the implementation of these six principles align with the National Institute for Standards and Technology (NIST) AI Risk Management Framework (RMF) – govern, map, measure, and manage. How does GitHub drive Responsible AI practices within its organization? Within GitHub, our Responsible AI Champions help map, measure, and manage risks associated with using generative AI in coding. What assessments and reviews has GitHub completed for its AI systems? GitHub has completed a Responsible AI Impact Assessment as well as security and privacy reviews to map different risks associated with its AI products. Where can I learn more about GitHub's responsible principles in AI development? You can learn more by reading the Responsible AI Transparency Report. The report includes a case study on how GitHub mapped and managed key risks and measured the effectiveness of GitHub Copilot and Copilot Chat on developer productivity. Privacy What are GitHub's privacy principles? At the heart of our work is a deep respect for your privacy, guiding the decisions we make. We prioritize your trust, control, and the context of your data to ensure your rights are always protected. GitHub has four privacy principles:  Privacy Protects People. Privacy requires Trust, Control, and Transparency. Privacy is Contextual. Privacy is the Expectation. How does GitHub protect privacy? GitHub is dedicated to safeguarding your right to privacy by ensuring all employees uphold privacy standards and address any misuse of personal information. How does GitHub ensure trust, control, and transparency with user data? GitHub provides clear tools and choices to give you control over your privacy, is transparent about data usage, and uses your data to enhance your experience. How does GitHub handle data in different contexts? GitHub processes information based on its context, respecting local privacy laws and advocating for your privacy rights. How is privacy integrated into GitHub's operations? Privacy is built into everything GitHub does from the start, fostering trust with users, customers, and partners through a strong commitment to privacy. AI RegulationPrivacy AI Regulation What is GitHub's commitment to AI? GitHub is committed to the advancement of safe, secure, and trustworthy AI. We believe in the power of AI to enhance efficiency and innovation across the software development life cycle to increase developer happiness. From GitHub Copilot to hosting open source models, GitHub continues to ensure that AI advancements are accessible and beneficial to all. What standard does GitHub follow for AI? GitHub follows Microsoft's Responsible AI Standard in designing, building, and testing its AI systems in our products. The Microsoft RAI Standard has six principles–accountability, transparency, fairness, reliability & safety, privacy & security, and inclusiveness–that product teams consider in order to responsibly develop and deploy generative AI systems. These principles align with our commitment to develop safe, secure, and trustworthy AI systems. Furthermore, the implementation of these six principles align with the National Institute for Standards and Technology (NIST) AI Risk Management Framework (RMF) – govern, map, measure, and manage. How does GitHub drive Responsible AI practices within its organization? Within GitHub, our Responsible AI Champions help map, measure, and manage risks associated with using generative AI in coding. What assessments and reviews has GitHub completed for its AI systems? GitHub has completed a Responsible AI Impact Assessment as well as security and privacy reviews to map different risks associated with its AI products. Where can I learn more about GitHub's responsible principles in AI development? You can learn more by reading the Responsible AI Transparency Report. The report includes a case study on how GitHub mapped and managed key risks and measured the effectiveness of GitHub Copilot and Copilot Chat on developer productivity. Privacy What are GitHub's privacy principles? At the heart of our work is a deep respect for your privacy, guiding the decisions we make. We prioritize your trust, control, and the context of your data to ensure your rights are always protected. GitHub has four privacy principles:  Privacy Protects People. Privacy requires Trust, Control, and Transparency. Privacy is Contextual. Privacy is the Expectation. How does GitHub protect privacy? GitHub is dedicated to safeguarding your right to privacy by ensuring all employees uphold privacy standards and address any misuse of personal information. How does GitHub ensure trust, control, and transparency with user data? GitHub provides clear tools and choices to give you control over your privacy, is transparent about data usage, and uses your data to enhance your experience. How does GitHub handle data in different contexts? GitHub processes information based on its context, respecting local privacy laws and advocating for your privacy rights. How is privacy integrated into GitHub's operations? Privacy is built into everything GitHub does from the start, fostering trust with users, customers, and partners through a strong commitment to privacy. Site-wide Links The developer newsletter Get tips, technical guides, and best practices. Twice a month. Right in your inbox. Subscribe Platform Features Enterprise Copilot AI Security Pricing Team Resources Roadmap Compare GitHub Ecosystem Developer API Partners Education GitHub CLI GitHub Desktop GitHub Mobile GitHub Marketplace MCP Registry Support Docs Community Forum Professional Services Premium Support Skills Status Contact GitHub What is Git? Sitemap Company About Why GitHub Customer Stories Blog The ReadME Project Careers Newsroom Inclusion Social Impact Shop © 2026 GitHub, Inc. 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