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479 verified findings across the displayed surfaces.
245 verified findings across the displayed surfaces.
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Perplexity AI has moderate defaults; GitHub Copilot carries the most permissive license terms of the set.FOR ENTERPRISE: GITHUB COPILOT NOT RECOMMENDED · PERPLEXITY AI ENTERPRISE TIER ACCEPTABLE
| RISK SURFACE | GITHUB COPILOT | PERPLEXITY AI |
|---|---|---|
| PPrompt Ownership | ||
| OOutput Ownership | ||
| TModel Training | ||
| CCommercial Use | ||
| DData Privacy | ||
| $Tier Differences |
“If you choose to give us any ideas, know-how, algorithms, code contributions, suggestions, enhancement requests, recommendations or any other feedback for our products or services (collectively, “Feedback”), you acknowledge and agree that GitHub will have a royalty-free, fully pa…”
Feedback provided during Beta Preview (which could include code, algorithms, or technical know-how) is subject to an extremely broad, irrevocable, perpetual, sublicensable, commercially exploitable license with no compensation to the user.
“ Your input and output, such as questions, prompts and other content that you input, upload or submit to the Services, and the output that you create, and any collections or pages that you generate using the Services (“ Service Interaction Information ”). Service Interaction Info…”
“"Output" means responses and suggestions, including code or other material, generated by an AI Feature.”
Output ownership terms are referenced in Section J (AI Features, Training, and Your Data) which is not included in the provided document text. Only the definition of Output is present; the operative ownership/license clauses are absent.
“ Information we receive when you choose to link any third-party platforms to your account, such as when you sign into your account through Google or Apple (“ Third Party Platform Information ”) or when you voluntarily link one or more of your health and wellness applications (suc…”
“In addition, for Individual subscribers only: GitHub may use Copilot interaction data — including prompts (inputs), s uggestions (outputs), and code snippets generated during Copilot sessions — to train and improve AI models. This training helps improve code suggestions for all C…”
Individual (Free/Pro/Pro+) subscribers' prompts, outputs, and code snippets are used for AI model training by default. Opt-out is available but must be actively exercised.
“In addition to the specific uses described above, we may use most of the above information to provide you with and improve the Services (including our AI models) and to maintain our business relationship, including by enhancing the safety and security of our Services (e.g., troub…”
User data — which includes 'most' categories described above (including Service Interaction Information, i.e., prompts and outputs) — may be used to improve AI models. No opt-out mechanism is described here.
“It is your responsibility to assess what is appropriate for the situation and implement appropriate safeguards.”
The document places responsibility for assessing appropriateness of use entirely on the user but does not explicitly restrict or permit commercial use of outputs. No affirmative commercial use restriction or permission is stated.
“ If we become aware that we have unknowingly collected information about a child under 13 years of age or the relevant minimum age in your jurisdiction, we will make commercially reasonable efforts to delete such information. If you are the parent or guardian of a child under the…”
“GitHub and third parties use social media cookies to show you ads and content based on your social media profiles and activity on GitHub’s websites. This ensures that the ads and content you see on our websites and on social media will better reflect your interests. This also ena…”
Third parties can use data collected on GitHub to improve their own products on entirely separate websites, extending data use well beyond the GitHub platform context.
“To the extent the laws in your jurisdiction do not recognize the legal basis of legitimate interest or another legal basis specified above for a particular purpose, you consent to the processing of your personal information for that purpose through using the Services.”
Perplexity uses mere use of the Services as implied consent for processing where 'legitimate interests' is not recognized as a valid legal basis. This is a broad fallback consent mechanism that may not be valid under GDPR or other strict privacy regimes.
“When a school or employer supplies your GitHub account, they assume the role of Data Controller for most Personal Data used in our Services. This enables them to: Manage and administer your GitHub account, including adjusting privacy settings. Access and utilize your Person…”
Users on organization-provisioned accounts have significantly reduced privacy protections — their employer or school can access content, files, and usage data and adjust privacy settings.
“This Privacy Policy does not cover the use of the Perplexity API or Enterprise Pro, where we act solely as a processor, and which are governed by the applicable Terms and Conditions, including the Data Processing Addendum incorporated therein, that you agree to when signing up fo…”
API and Enterprise Pro users have different (and potentially stronger) data-processor protections under a DPA, whereas free/Pro/Max users are governed by this policy which permits broader use of their data.