Method v1.6As At 2026-08-1018 Surfaces Read1 Offering Assessed
Your own published record, as at 2026-08-10.
Your Details
The Macro Picture17
▲Red · Adverse
5
of 17 banded observations across 1 offering band Adverse. 2 were never measured.
1 conditional row (Deployment Mode = On-Premises Agent) sit outside these counts. A Variant is a stated deployment mode, not a published offering, and the Grid Standard holds it to its own band.
What Is Published8
Your Own Words3
OpenAI OpCo, LLC, San Francisco, United States · Anthropic Ireland, Ltd, Dublin, Ireland · Google LLC, Mountain View, CA United States · Microsoft Corporation, Redmond, United States · Groq LLC. San Francisco, CA United States
Five rows in the sub-processor table, each carrying the description 'Applicable for customers using artificial intelligence Services'. · Source
Make List of sub-processors — With effect as of December 12, 2025, the list(s) of sub-processors contained in the customer agreement(s) shall be replaced with the following:
Document head. Reached from the Terms & Conditions page under the link text 'Subprocessor', not from the URL SCC Annex III names (https://www.make.com/en/sub-processors.pdf), which renders '404 Not Found | Make' in a rendering browser on 10 August 2026. · Source
Privacy Impact Assessments (PIA) and Data Transfer Impact Assessments (DTIA) are performed for critical processes and mitigation measures are implemented if required.
Privacy Whitepaper, September 2024, 'Key processes'. The same document disclaims contractual effect. No per-recipient transfer impact assessment was located on any surface read. · Source
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 18 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 2026-08-10
Standards Commit
af541328ca3f
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 2026-08-10. 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 2026-08-10 under method v1.6.
The One Thing To Publish First
Publish it: say whether customer data is used to train AI models.
24 organisations in the register say whether customer data is used to train AI models. You do not.
What A Published Answer Looks Like
We will not use your data to train our AI or language models. We will not store your data except for the purpose of providing you with access to our platform and to the AI Functionality.
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 published terms. 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.
