The legal hub references an AI governance framework as one of the linked customer documents, indicating Snowflake maintains a disclosed framework governing AI-related technology commitments.
This analysis describes what Snowflake's agreement states, permits, or reserves. It does not constitute a legal determination about enforceability. Regulatory applicability and practical outcomes may vary by jurisdiction, enforcement context, and individual circumstances. Read our methodology
The existence of a referenced AI governance framework is relevant to customers using Snowflake's AI or machine learning features, as it may define how AI outputs, data used for model training, and related obligations are governed.
Interpretive note: The AI governance framework is referenced but not reproduced in the provided document text; its specific terms, scope, and obligations cannot be assessed.
The updated Privacy Notice no longer includes explicit language stating that users 'may unsubscribe through unsubscribe links at any time.' This removal means the document no longer contains that specific commitment to unsubscribe availability. The updated terms still reference a Privacy Notice governing data processing and retain cookie-related disclosures, but the removal of the unsubscribe guarantee eliminates a documented mechanism users may have relied on. You can review the full Privacy Notice to understand current communication and preference management options.
View change record →Addition of AI governance framework reference reflects Snowflake's formal commitment to addressing governance and responsible use of AI capabilities within their privacy framework.
View full change record →Customers using Snowflake's AI or ML capabilities should retrieve and review the AI governance framework document linked from this hub, as it may contain terms specific to AI-processed data, model outputs, and associated responsibilities that differ from standard service terms.
How other platforms handle this
At Ledger, earning and maintaining our users' trust is a top priority. That's why we are deeply committed not only to protecting your privacy and securing your personal data, but also to being fully transparent about how we handle it.
If you are located in the European Economic Area, Switzerland, or the United Kingdom, you have the right to access, correct, or erase your personal data; the right to restrict or object to our processing of your personal data; the right to data portability; and, where our processing is based on your...
We may display advertisements on our Services and those advertisements may be targeted to your interests based on your personal information. We may share your personal information with advertising partners for interest-based advertising purposes. You may opt out of interest-based advertising by visi...
Monitoring
Snowflake has changed this document before.
Receive same-day alerts, structured change summaries, and monitoring for up to 25 platforms.
(1) REGULATORY LANDSCAPE: AI governance frameworks may engage the EU AI Act for EU-based deployments, as well as emerging US federal and state-level AI guidance from the FTC and NIST. The specific regulatory obligations depend on the content of the linked AI governance document, which was not available in the provided text. (2) GOVERNANCE EXPOSURE: Medium. The reference to an AI governance framework creates a due diligence trigger for enterprise customers, particularly those in regulated industries where AI use in data processing may require additional contractual or compliance assessments. (3) JURISDICTION FLAGS: EU/EEA customers should assess whether the AI governance framework aligns with EU AI Act risk classifications applicable to their use cases. US customers in financial services or healthcare should assess AI governance terms against sector-specific guidance. (4) CONTRACT AND VENDOR IMPLICATIONS: Enterprise procurement teams should request the AI governance framework as part of vendor due diligence and assess whether it allocates responsibility for AI output accuracy, bias, or regulatory compliance between Snowflake and the customer. (5) COMPLIANCE CONSIDERATIONS: Compliance teams should review the AI governance framework document to determine whether it imposes any obligations on customers regarding how they deploy AI features, what data they may use as inputs, and what disclosures may be required to their own end users.
Full compliance analysis
Regulatory citations, enforcement risk, and due diligence action items.
Free: track 1 platform + weekly digest. Monitor: 25 platforms + same-day alerts. No credit card required.
Ad personalization controls removed. Contact scanning added. Advertiser data partnerships quietly dropped. A timeline of every change.
Compliance Governance Intelligence
Need to monitor specific governance provisions?
Compliance includes provision-level monitoring, governance timelines, regulatory mapping, and audit-ready analysis.
Built from archived source documents, structured governance mappings, and historical version tracking.
The existence of a referenced AI governance framework is relevant to customers using Snowflake's AI or machine learning features, as it may define how AI outputs, data used for model training, and related obligations are governed.
Customers using Snowflake's AI or ML capabilities should retrieve and review the AI governance framework document linked from this hub, as it may contain terms specific to AI-processed data, model outputs, and associated responsibilities that differ from standard service terms.
No. ConductAtlas is an independent monitoring service. We are not affiliated with, endorsed by, or sponsored by Snowflake.