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Black Snow Report

Snowflake

Method v1.6As At 2026-08-1120 Surfaces Read1 Offering Assessed

Your own published record, as at 2026-08-11.

Your Details

The Macro Picture17

Red · Adverse
4
of 17 banded observations across 1 offering band Adverse. 2 were never measured.

What Is Published8

Your Own Words3

Snowflake will not use Customer Data or Usage Data (in each case, including any Inputs or Outputs) to train, re-train or fine-tune any Model that Snowflake makes available for use by other parties.
AI Terms §3.2 · Source
Customer may subscribe to Snowflake's Sub-processor Site to receive notifications regarding updates to Snowflake's overview of relevant laws and practices of third countries.
Clause 14(c), Snowflake-inserted sentence; the Sub-processors and Affiliates page states the overview is available by emailing privacy@snowflake.com. The document itself was NOT obtained and no view is expressed on its content or adequacy · Source
If a Customer elects to use one of the following third-party developed or hosted models or services in connection with a Snowflake AI Feature
Model and Service Pass-Through Terms, opening paragraph; the terms then name Meta Llama 2/3/3.1/3.2/3.3/4, Google Gemma 7B, Anthropic Claude and Twelve Labs as licensed models, and Microsoft Azure OpenAI, Google Vertex and OpenAI (private preview) as third-party operated services · Source

Parties You Name10

See which of these are assessed in this register

Register Check3

AI Role By Offering1

Assessment Basis

Produced under Method v1.6 from the entity's fact record. 8 of 8 observations were measured under that generation; the rest read Not Measured, which is a fact about this register's coverage and not a finding about the entity.

Read from 20 first-party surface(s) across 1 assessed offering(s), found by the entity's own link graph and sitemap rather than by guessed paths.

Fact Record
Version 1.0, dated 2026-08-11
Standards Commit
85af5d483112
Register Control Quality
Both Views

Verification And Challenge

Every finding on this record is a statement about what could be read on your own published surfaces as at 2026-08-11. Correspondence route as recorded on this card input: ror@blacksnowintel.com.

What A Machine Could Not Establish3

3 questions are open and 5 are established, read as at 2026-08-11 under method v1.6.

The One Thing To Publish First

Publish it: say whether decisions about people are made automatically.

Red · AdverseAutomated Decision-Making

A finding on the public record.

Where To Put It

This was read on your own page at https://www.snowflake.com/en/legal/privacy/privacy-policy/. That is the page a reader already reaches for and does not find it on, so it is the page to correct first.

Where Others Stand

4 organisations in the register say whether decisions about people are made automatically. You do not.

What A Published Answer Looks Like

Under certain laws, residents may also be permitted to opt out of certain profiling relating to automated processing analyzing certain categories of an individual's information that would produce a legal or similarly significant effect. [the vendor] does not engage in this type of profiling of individuals.

A question answered plainly in public, by an organisation read as Strong on it. It is not an endorsement of the position the sentence states — Black Snow reads what is published and never recommends what to practise. Read on a published trust or security page. Claim tier Quoted. The organisation that published it is not named. A name in the original is replaced; nothing else in the sentence is changed.

One is named here, and one is deliberate. The rest of the open questions are listed below without a prescription; what to publish for each, in what order, and drafted machine-readable evidence for all of them, is the Deep Dive.

Still Open

Deep Dive

The full assessment, plus consulting on what to fix.

Reviewing your record is free.