⚠ Key Privacy Concerns

GitHub Copilot processes proprietary source code through Microsoft/OpenAI cloud infrastructure. Developers using Copilot on private repositories should understand their code travels to external servers. The individual tier lacks privacy controls available to enterprise customers, including code retention opt-outs.

Data They Collect

Everything GitHub Copilot gathers from your development environment.

📊 Data Collection Scope (25%) 32/100

What they collect: Your code, comments, file names, repository structure, cursor position, code context, IDE usage patterns, accepted/rejected suggestions, and user engagement metrics.

👥 Third-Party Sharing (20%) 35/100

Who gets your data: Microsoft/OpenAI AI pipeline for code processing, telemetry partners for usage analytics, and potentially third-party model providers for suggestion generation.

🕐 Retention & Deletion (20%) 38/100

How long: Code snippets may be retained for model improvement. Engagement data retained for product analytics. Enterprise tier offers data retention controls not available to individuals.

☑ User Control & Consent (15%) 40/100

Your control: Business tier customers have better controls than individual users. Enterprise gets code retention opt-outs, telemetry controls, and IP indemnification not available to solo developers.

🔒 Security & Breach (10%) 38/100

Security: Code transmitted to cloud servers raises intellectual property concerns. Microsoft enterprise security standards apply, but proprietary code exposure remains a risk for private repositories.

🔍 Transparency & Access (10%) 32/100

Clarity: Unclear exactly what code is retained and for how long. Distinction between "prompts" and "suggestions" in data handling is technically complex. Limited visibility into what code snippets inform training.

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