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SIDE-BY-SIDE · 2 OF 3
Two platforms.
Same questions.
Dify
WORKFLOW & AUTOMATION
PROMPT
Dify's privacy policy does not explicitly address ownership of prompts or inputs submitted to AI workflows. The policy covers personal data collection but not IP rights.
OUTPUT
Dify's privacy policy is silent on ownership of AI workflow outputs. No explicit IP assignment or licensing terms for outputs are documented in publicly available policies.
TRAINING
Only aggregated/anonymized statistics collected for service performance. No explicit training on customer data.
COMMERCIAL
Dify offers a cloud and self-hosted (open source) product. Commercial use terms are not clearly specified in the publicly available privacy policy.
400 verified findings across the displayed surfaces.
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.
Empty Comparison Slot
AIRIN SUMMARY
Dify carries highly permissive license terms; GitHub Copilot carries highly permissive license terms.FOR ENTERPRISE: DIFY NOT RECOMMENDED · GITHUB COPILOT NOT RECOMMENDED
↳ Compliance surfaces · side by side
⚡ INTERACTIVE RISK COMPARISON HEATMAP
| RISK SURFACE | DIFY | GITHUB COPILOT |
|---|---|---|
| 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
Dify
MED⚠ CAUTIONHIGH
Dify's privacy policy does not explicitly address ownership of prompts or inputs submitted to AI workflows. The policy covers personal data collection but not IP rights.
“ 5.1 The Service is made available on a limited access basis, and no ownership rights are conveyed to you. Notwithstanding anything to the contrary in these Terms, we and our licensors have and retain all right, title, and interest, including all intellectual property rights, in…”
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.
O
SURFACE 02
Output Ownership
Dify
MEDHIGH
Dify's privacy policy is silent on ownership of AI workflow outputs. No explicit IP assignment or licensing terms for outputs are documented in publicly available policies.
“ You retain ownership of your Customer Content, including Customer Content from your accounts with Third-Party Services that are transmitted, processed, and/or stored in the Service. By transmitting, processing, and/or storing Customer Content in the Service, you hereby grant Dif…”
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.
T
SURFACE 03
Model Training
Dify
MED⚠ CAUTIONHIGH
Only aggregated/anonymized statistics collected for service performance. No explicit training on customer data.
“Operate, maintain and improve our internal operations, systems, Sites, and Products”
The policy does not explicitly address whether user content is used for AI/ML model training. 'Improve Products' could encompass training use, but this is not confirmed or denied.
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.
C
SURFACE 04
Commercial Use
Dify
MED⚠ CAUTIONHIGH
Dify offers a cloud and self-hosted (open source) product. Commercial use terms are not clearly specified in the publicly available privacy policy.
“ 2.1.1 LangGenius (and its Affiliates, as applicable) will make the Services available to you, including those described in the applicable Services Terms 2.1.2 You may use your Dify.AI Account and the Service only (i) for lawful purposes; and (ii) in accordance with these Terms…”
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.
📂 Data Privacy & Governance
D
SURFACE 05
Data Privacy
Dify
HIGH⚠ CAUTIONHIGH
—
“We use this information to reshare content created through the use of the Service. The processing is necessary for our legitimate interests (to develop our service and inform our marketing strategy).”
Information from social network interactions can be reshared by LangGenius for marketing strategy purposes under a 'legitimate interests' basis without explicit user consent.
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.
$
SURFACE 06
Tier Differences
Dify
MED⚠ CAUTIONHIGH
—
“Dify is free for students and educators.”
No terms or conditions are specified for the student/educator free tier—it is unclear whether it matches the Sandbox tier, has separate restrictions, or requires verification. Users cannot assess their rights or obligations from this statement alone.
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.