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SIDE-BY-SIDE · 2 OF 3
Two platforms.
Same questions.
GitHub Copilot
DEVELOPER / CODING
PROMPT
GitHub does not claim ownership over code inputs. Code submitted to Copilot remains the user's property.
OUTPUT
GitHub does not assert ownership over code suggestions. Users are responsible for determining the IP status of generated code.
TRAINING
GitHub Privacy Statement confirms: 'Product Development and Improvement: We use Personal Data to develop and improve our products, services, and technologies, including artificial intelligence and machine learning technologies. This includes improving features, developing new offerings, enhancing safety and security capabilities, and training models. We apply appropriate technical safeguards, including aggregation and de-identification techniques where feasible.' Affiliates including Microsoft may also receive data for 'product development and improvement (including training and improving artificial intelligence and machine learning technologies).' Individual tier: code snippets and telemetry may be used for training (opt-out in IDE settings). Business/Enterprise: training on user code is off by default, no data retention beyond session.
COMMERCIAL
Commercial use is the primary intended use case, particularly for Copilot for Business and Enterprise plans.
479 verified findings across the displayed surfaces.
Snyk
DEVELOPER / CODING
PROMPT
Users retain 100% intellectual property ownership over all code repositories and prompts.
OUTPUT
Outputs are assigned fully to users under standard commercial parameters.
TRAINING
Excluded by default. Model training is contractually turned off under standard developer APIs.
COMMERCIAL
Commercial use of all workflow priorities and prioritizations is fully permitted.
338 verified findings across the displayed surfaces.
Empty Comparison Slot
AIRIN SUMMARY
Snyk has moderate defaults; GitHub Copilot carries the most permissive license terms of the set.FOR ENTERPRISE: GITHUB COPILOT NOT RECOMMENDED · SNYK ENTERPRISE TIER ACCEPTABLE
↳ Compliance surfaces · side by side
⚡ INTERACTIVE RISK COMPARISON HEATMAP
| RISK SURFACE | GITHUB COPILOT | SNYK |
|---|---|---|
| PPrompt Ownership | ||
| OOutput Ownership | ||
| TModel Training | ||
| CCommercial Use | ||
| DData Privacy | ||
| $Tier Differences |
* Click any cell in the heatmap matrix to scroll directly to its verbatim policy citations below.
📂 Intellectual Property & Model Training
P
SURFACE 01
Prompt Ownership
GitHub Copilot
HIGH⚠ CAUTIONHIGH
GitHub does not claim ownership over code inputs. Code submitted to Copilot remains the user's property.
“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.
Snyk
MEDMED
Users retain 100% intellectual property ownership over all code repositories and prompts.
“You shall not: (a) use the Services in connection with any Code Asset that is not owned by you or your Affiliates, or that you do not have a right to access or use; (b) upload or input to the Services: (i) any Virus; or, (ii) any material that is illegal or infringes any third-pa…”
O
SURFACE 02
Output Ownership
GitHub Copilot
MED⚠ CAUTIONHIGH
GitHub does not assert ownership over code suggestions. Users are responsible for determining the IP status of generated code.
“"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.
Snyk
MED⚠ CAUTIONMED
Outputs are assigned fully to users under standard commercial parameters.
“(a) the rights granted to you under this Agreement, including under Section 1 (Right to Use) shall immediately terminate except that you may continue to use (in accordance with the restrictions on use set out in this Agreement) Service Data and any Snyk intellectual property capt…”
T
SURFACE 03
Model Training
GitHub Copilot
HIGH⚠ CAUTIONHIGH
GitHub Privacy Statement confirms: 'Product Development and Improvement: We use Personal Data to develop and improve our products, services, and technologies, including artificial intelligence and machine learning technologies. This includes improving features, developing new offerings, enhancing safety and security capabilities, and training models. We apply appropriate technical safeguards, including aggregation and de-identification techniques where feasible.' Affiliates including Microsoft may also receive data for 'product development and improvement (including training and improving artificial intelligence and machine learning technologies).' Individual tier: code snippets and telemetry may be used for training (opt-out in IDE settings). Business/Enterprise: training on user code is off by default, no data retention beyond session.
“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.
Snyk
HIGHMED
Excluded by default. Model training is contractually turned off under standard developer APIs.
“5.4 AI Compliance. Snyk may use AI Models in the provision of the Services. Snyk will not use (or permit any of its Affiliates, sub-processors, or other third parties to use) any Inputs to train, enhance or improve any AI Models incorporated within the Services and more fully des…”
C
SURFACE 04
Commercial Use
GitHub Copilot
MED⚠ CAUTIONHIGH
Commercial use is the primary intended use case, particularly for Copilot for Business and Enterprise plans.
“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.
Snyk
MED⚠ CAUTIONMED
Commercial use of all workflow priorities and prioritizations is fully permitted.
“If you elect to purchase the Services through a Channel Partner, or through such Channel Partner’s authorized reseller, your payment for the Services will be governed by the terms agreed upon by and between you and such Channel Partner or authorized reseller. Accordingly, Section…”
📂 Data Privacy & Governance
D
SURFACE 05
Data Privacy
GitHub Copilot
HIGH⚠ CAUTIONHIGH
Individual: training on by default, opt-out available in IDE settings. Business: training off by default, no content retention. Enterprise: same as Business with additional enterprise governance and IP indemnification.
“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.
Snyk
HIGHMED
—
“- **Do you sell my personal information?** We may share or sell (as defined by California law) your personal information for third-party advertising purposes. For more information, go to the “ [Additional Information for users in California](https://snyk.io/policies/privacy/#Addi…”
$
SURFACE 06
Tier Differences
GitHub Copilot
HIGH⚠ CAUTIONHIGH
Individual: training on by default, opt-out available in IDE settings. Business: training off by default, no content retention. Enterprise: same as Business with additional enterprise governance and IP indemnification.
“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.
Snyk
MED⚠ CAUTIONMED
—
“6.2 Credits. If you purchase any Services under a credit model, such as Snyk Credits (“ **Credits**”), those Credits form part of your Subscription Allocation. Credits may be applied for various Services. When Credits are applied, the number of Credits required to redeem a Servic…”