Method v1.6As At 2026-08-0713 Surfaces Read1 Offering Assessed
Your own published record, as at 2026-08-07.
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
Microsoft Corporation | Information included in the queries raised by the individuals contacting Stripe support | Provide AI technology to improve the quality of user support operations | United States
User Support table row, transcribed as published including its country cell. · Source
BBPOS Devices Limited | APAC | Hong Kong SAR | Providing customer support services in relation to Stripe Terminal products
Stripe Affiliates table, transcribed as published. Stripe's own Data Privacy Framework register entry states that it shares personal data with 'Stripe Affiliates', and the Data Transfer Addendum Annex III points at this page, so this is a recipient on the chain the entity itself disclosed. Basis is Destination, never origin, ownership or nationality. Stripe writes 'Hong Kong SAR'; the corpus statutory-compellability reference set names the same jurisdiction as 'Hong Kong'. · Source
our business needs and services providers may change from time to time... We will periodically update this page.
Two rows in the second table name no entity at all: 'User and Sales support service providers' and 'Verification service providers'. Both carry Entity Country 'Various'. A Business User 'may reasonably object in writing... within 30 days following the update of this page.' · 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 13 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 2026-08-07
Standards Commit
3fc7d3917a4d
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 2026-08-07. Correspondence route as recorded on this card input: ror@blacksnowintel.com.
What A Machine Could Not Establish4
4 questions are open and 4 are established, read as at 2026-08-07 under method v1.6.
The One Thing To Publish First
Publish it: say whether customer data is used to train AI models.
▲Red · AdverseTraining On Customer Data
Training Exclusion Instrument: None
Where To Put It
This was read on your own page at https://stripe.com/privacy. 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
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.
