Confidential AI for GitLab Self-Hosted

GitLab Duo Self-Hosted can integrate with Privatemode AI to provide coding assistance and agentic features for regulated organizations that cannot send proprietary source code to conventional external AI services. Privatemode uses confidential-computing hardware, including trusted execution environments and remote attestation, to encrypt prompts, code context, and responses in transit, at rest, and during inference, aiming to ensure that neither the service operator nor cloud infrastructure provider can access plaintext data. The integration routes GitLab Duo requests through a self-hosted AI Gateway and Privatemode’s OpenAI-compatible proxy, preserving features such as code suggestions, chat, code review, testing, and multi-step agent workflows while using models including Kimi K2.6. The approach is presented as an alternative to public SaaS, private-cloud AI services, and fully self-managed LLM stacks, which respectively rely on contractual privacy assurances or require substantial GPU and model-operations investment. However, organizations must still deploy and maintain the gateway and proxy, account for potential latency from encryption and attestation, recognize that generic model support in GitLab Duo Self-Hosted remains beta, and trust the security of the underlying hardware and attestation chain. The setup requires GitLab Self-Managed Premium or Ultimate, version 17.9 or later, the Duo Enterprise add-on, and additional platform support for agentic flows.

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