Tabnine · Tabnine Privacy Policy

AI Model Training Use of Code Snippets

High severity
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What it is

Tabnine may use the code you write and your usage data to improve its AI — though business customers have more controls over whether their code is kept.

Consumer impact (what this means for users)

Individual and pro users' code snippets may be retained and used to train Tabnine's AI models, potentially exposing proprietary or sensitive code to data processing beyond the immediate autocomplete function.

What you can do

⚠️ These actions may provide transparency or partial mitigation but may not fully address the underlying issue. Effectiveness varies by jurisdiction and individual circumstances.
  • Delete Your Data
    Email privacy@tabnine.com requesting deletion of your code snippet and telemetry data and specifying that you object to AI model training use of your data.

Cross-platform context

See how other platforms handle AI Model Training Use of Code Snippets and similar clauses.

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Why it matters (compliance & risk perspective)

Code you type into your IDE may contain proprietary algorithms, API keys, or sensitive business logic that could be incorporated into AI training datasets, creating intellectual property and confidentiality risks.

View original clause language
We may use the information we collect, including code snippets and telemetry data, to train, evaluate, and improve our AI models and services. For Teams and Enterprise customers, code is not retained after processing unless explicitly configured otherwise.

Institutional analysis (Compliance & legal intelligence)

(1) REGULATORY FRAMEWORK: GDPR Art. 6(1)(f) legitimate interests and Art. 13 transparency obligations are directly implicated — using code for AI training requires a lawful basis separate from service delivery, and the balancing test under legitimate interests must account for the reasonable expectations of developers. EU AI Act (Regulation 2024/1689) Recital 47 and Art. 13 on transparency for AI systems are relevant. FTC Act Section 5 applies regarding material misrepresentation of data use. (2)

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Applicable agencies

  • FTC
    FTC Act Section 5 applies to material misrepresentation or unfair practices in AI training data collection from consumers.
    File a complaint →

Provision details

Document information
Document
Tabnine Privacy Policy
Entity
Tabnine
Document last updated
April 29, 2026
Tracking information
First tracked
April 30, 2026
Last verified
April 30, 2026
Record ID
CA-P-004221
Document ID
CA-D-00488
Evidence Provenance
Source URL
Wayback Machine
SHA-256
26259857b884a837d1da91a23c41c4ce0ca953cc79c8df61c766e80276a51037
Verified
✓ Snapshot stored   ✓ Change verified
How to Cite
ConductAtlas Policy Archive
Entity: Tabnine | Document: Tabnine Privacy Policy | Record: CA-P-004221
Captured: 2026-04-30 07:13:53 UTC | SHA-256: 26259857b884a837…
URL: https://conductatlas.com/platform/tabnine/tabnine-privacy-policy/ai-model-training-use-of-code-snippets/
Accessed: May 2, 2026
Classification
Severity
High
Categories

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