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Free shows today's risk. A Stack Audit gives you a citable, verbatim-sourced PDF across your whole AI stack — and flags the moment a vendor's terms change.
Free shows today's risk. A Stack Audit gives you a citable, verbatim-sourced PDF across your whole AI stack — and flags the moment a vendor's terms change.
479 verified findings across the displayed surfaces.
401 verified findings across the displayed surfaces.
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Veed.io has moderate defaults; GitHub Copilot carries the most permissive license terms of the set.FOR ENTERPRISE: GITHUB COPILOT NOT RECOMMENDED · VEED.IO ENTERPRISE TIER ACCEPTABLE
| RISK SURFACE | GITHUB COPILOT | VEED.IO |
|---|---|---|
| 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.
“ Automated decisions are made by technological means, mostly based on algorithms subject to predefined criteria. Such automated decision-making, taken solely by technological means without any human intervention, may have legal effects or similarly significant effects on you. ”
“"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.
“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.
“To develop or improve our Applications and any of our related products and services using relevant personal data included in content submitted or uploaded to our Applications by users under a ‘Free’ subscription. For the avoidance of doubt, this does not include any content submi…”
Free-tier users' submitted/uploaded content (excluding mobile app content) is explicitly used to train AI models, with no opt-out mechanism described. Users may not realise their content fuels model training.
“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.
“ Data subjects include the data exporter’s users, employees and third parties with whom it has, or may develop, a commercial relationship.”
“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.
“By using the Applications and/or our services, you are giving us your explicit consent to make automated decisions. If you do not consent to our making automated decisions, you must not use our Applications or services.”
The platform claims 'explicit consent' to automated decision-making (including legally significant decisions) merely by virtue of using the service — a take-it-or-leave-it approach that may not meet GDPR standards for freely given, specific consent.
“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.