If you use Tabnine's free or individual paid plan, the code you type into the tool and the prompts you send may be collected and used to improve Tabnine's AI. Enterprise customers' code is not used for this shared model training.
This analysis describes what Tabnine's agreement states, permits, or reserves. It does not constitute a legal determination about enforceability. Regulatory applicability and practical outcomes may vary by jurisdiction, enforcement context, and individual circumstances. Read our methodology
The policy authorizes use of code inputs for AI model training for free and pro users, which may be significant for developers working with proprietary, confidential, or regulated code.
Interpretive note: The precise scope of the opt-out mechanism for free and pro users, including whether it applies retroactively to previously submitted code, is not fully specified in the document text reviewed.
Free and pro plan users' code snippets and prompts may be retained and used by Tabnine to train its AI models unless the user opts out; enterprise users are excluded from this shared training by default under the policy's stated terms.
How other platforms handle this
We may use the content you provide to us, including prompts and generated images, to train and improve our AI models and services.
We may leverage OpenAI models independent of user selection for processing other tasks (e.g. for summarization). We may leverage Anthropic models independent of user selection for processing other tasks (e.g. for summarization). We may leverage these models independent of user selection for processi...
Users under 18 years old interact with an age-appropriate model specifically designed to reduce the likelihood of exposure to sensitive or suggestive content. Our under-18 model has additional and more conservative classifiers than the model for our adult users so we can enforce our content policies...
Monitoring
Tabnine has changed this document before.
Receive same-day alerts, structured change summaries, and monitoring for up to 10 platforms.
"When you use Tabnine's AI features, we may collect the code snippets and other inputs you provide to the AI (such as prompts and context) in order to provide and improve our services. For users on free and individual paid plans, Tabnine may use this data to train and improve its AI models. Enterprise customers benefit from additional protections, including that their code is not used to train Tabnine's shared models.— Excerpt from Tabnine's Tabnine Privacy Policy
1) REGULATORY LANDSCAPE: Processing of code snippets as personal data (where they contain identifiers or relate to identified individuals) engages GDPR Article 6 lawful basis requirements and Article 5 purpose limitation principles. Use of this data for AI model training beyond the original service delivery purpose may require a separate lawful basis or compatibility assessment under GDPR. The EU AI Act's provisions on training data transparency for general-purpose AI models may also apply to Tabnine's model training activities, depending on model classification and applicable compliance timelines. The FTC's authority over unfair or deceptive data practices is relevant if disclosures about training data use are found to be inadequate. 2) GOVERNANCE EXPOSURE: High. The use of user-submitted code for AI model training creates elevated exposure where: (a) the code contains proprietary business logic, credentials, or personal data belonging to third parties; (b) users are unaware of or have not meaningfully consented to this use; or (c) the opt-out mechanism is not prominently disclosed or easily accessible. The differentiation between enterprise and individual plan protections creates a two-tier data governance structure that procurement teams must verify is reflected in contractual terms. 3) JURISDICTION FLAGS: EU/EEA users have GDPR rights to object to processing based on legitimate interests, which could apply to model training use cases. California residents have CPRA rights to opt out of sharing of personal information for cross-context behavioral advertising or, potentially, for model training where it constitutes a form of data sharing with Tabnine's AI infrastructure. Illinois BIPA is unlikely to apply unless biometric identifiers are involved. Heightened exposure exists for enterprise customers in regulated industries (financial services, healthcare) where code may contain regulated data. 4) CONTRACT AND VENDOR IMPLICATIONS: Enterprise procurement teams should ensure that the model training exclusion stated in the policy is reflected explicitly in the data processing agreement or master services agreement with Tabnine, as policy terms alone may be unilaterally amended. The policy's statement that sub-processors are available upon request rather than via a published registry may complicate GDPR Article 28 compliance, as customers may need contractual rights to receive advance notice of sub-processor changes. 5) COMPLIANCE CONSIDERATIONS: Compliance teams should audit the opt-out mechanism for free and pro users to confirm it is accessible and documented. Data mapping exercises should include code snippet inputs as a distinct data category with its own retention schedule and processing purpose. For enterprise deployments, legal teams should confirm the contractual model training exclusion is in place before onboarding. Organizations in regulated industries should assess whether code submitted to Tabnine could constitute regulated data and whether Tabnine's controls are adequate.
Full compliance analysis
Regulatory citations, enforcement risk, and due diligence action items.
Free: track 1 platform + weekly digest. Watcher: 10 platforms + same-day alerts. No credit card required.
How 10 AI platforms describe the use of user data for model training, improvement, and development, based on archived governance provisions.
Professional Governance Intelligence
Need to monitor specific governance provisions?
Professional includes provision-level monitoring, governance timelines, regulatory mapping, and audit-ready analysis.
Built from archived source documents, structured governance mappings, and historical version tracking.
The policy authorizes use of code inputs for AI model training for free and pro users, which may be significant for developers working with proprietary, confidential, or regulated code.
Free and pro plan users' code snippets and prompts may be retained and used by Tabnine to train its AI models unless the user opts out; enterprise users are excluded from this shared training by default under the policy's stated terms.
No. ConductAtlas is an independent monitoring service. We are not affiliated with, endorsed by, or sponsored by Tabnine.