Coding Assistants
Tabnine
Low riskAI code assistant built around code privacy: completions and chat with no training on customer code, ephemeral processing, and self-hosted or air-gapped deployment options.
Is Tabnine safe for confidential data?
Tabnine is the privacy benchmark of the coding-assistant category and a useful comparison anchor when evaluating anything else. Its published commitments apply across plans, not just enterprise: customer code is never used to train models, code is not stored — context is processed ephemerally and discarded once the response returns — and Enterprise can deploy in a VPC, on-premises, or fully air-gapped so code never leaves the network at all. It holds SOC 2 Type II and ISO 27001 and offers IP indemnification on enterprise plans. Residual risks are ordinary ones: verifying that configured third-party models (where teams enable them) inherit equivalent terms, and the fact that a privacy-clean assistant does not stop developers using less careful tools alongside it.
Risk by plan
The same product often carries very different terms depending on the tier — consumer plans are where the exposure concentrates.
Same no-train, no-retain policy as paid org tiers, though without an organizational agreement or admin controls.
Adds SSO, admin policy controls, private deployment (VPC/on-prem/air-gapped), IP indemnification, and contractual terms.
Data handling
Training on inputs
No training on customer code on any plan — a no-train, no-retain policy that is the product's core positioning, not an enterprise add-on.
Retention
No code storage: the context sent for inference is deleted immediately after the response is returned (ephemeral processing). Optional third-party models are governed by their own terms — review before enabling.
Residency
SaaS by default, with VPC, on-premises, and air-gapped deployment on Enterprise so processing can be kept in-country or in-network — a clean answer for Canadian PIPEDA or Quebec Law 25 residency requirements.
Compliance
- SOC 2Yes
- GDPR / DPAYes
- HIPAA BAANot verified
Certifications typically apply to specific tiers and contracts — confirm scope in writing before relying on them.
New to these frameworks? See our plain-language guides to SOC 2 and the other AI compliance standards.
Enterprise controls
- SSO / SAML
- VPC, on-premises, or air-gapped deployment
- Admin policy and model controls
- IP indemnification (Enterprise)
- Data Processing Agreement
Frequently asked questions
Does Tabnine train on your code?
No, on any plan — Tabnine's policy is no training on customer code and no code retention, with the inference context deleted as soon as the response returns. Its own models are trained on permissively licensed open code, which is also the basis for its enterprise IP indemnification.
How does Tabnine compare to GitHub Copilot on privacy?
Tabnine's differentiators are universal no-training (not tier-dependent), no code storage, and deployment options Copilot does not offer — including on-premises and fully air-gapped installs where code never leaves your network. Copilot's business tiers also exclude code from training, so the practical gap is largest for organizations that cannot send code to a vendor cloud at all, or that cannot police which tier every developer is on.
If we standardize on Tabnine, is our AI exposure solved?
Codebase exposure through the assistant, largely — but a privacy-first completion tool does not absorb the demand for general chatbots, and developers will still paste stack traces, schemas, and customer data into whatever answers architecture questions fastest. Pair the sanctioned assistant with visibility into the unsanctioned tools around it.
Policy changelog
- Initial entry published from Tabnine's published privacy documentation.
Sources
This profile summarizes the vendor's published policies as of the verification date. It is not legal advice.
Tabnine is probably already in your organization.
Sanitized AI shows you who is using it and redacts sensitive data from prompts before it leaves your control.
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