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Black Snow Report

PayPal

Method v1.6As At 2026-08-1311 Surfaces Read1 Offering Assessed

Your own published record, as at 2026-08-13.

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

We also set out in the list of third parties, under each 'Category', non-exclusive examples of the actual third parties ... to whom we currently disclose your Account Information or to whom we may consider disclosing your Account Information
introductory paragraph · Source
PayPal uses Automated Decision Making technology to make assessments or decisions, including related to risk, fraud and creditworthiness ... Agentic AI Tools ... not designed to make decisions that have legal or similarly significant effects
Automated Decision Making / Agentic AI section · Source
We generally retain your Personal Information for as long as needed ... for the duration of our relationship with you and for up to 10 years afterwards ... biometric data ... no more than 3 years after your account closes
How Long We Store Your Personal Information · Source

Parties You Name36

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 11 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 2026-08-13
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 2026-08-13. 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 2026-08-13 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://www.paypal.com/us/legalhub/privacy-full. 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.

Reviewing your record is free.