Black Snow IntelligenceBlack Snow Intelligence
Black Snow Report

SecurityScorecard

Method v1.1As At 2026-07-301 Surfaces Read1 Offering Assessed

Your own published record, as at 2026-07-30.

Your Details

The Macro Picture17

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

What Is Published8

Your Own Words2

We do not use your Customer Data, including any Inputs or Outputs, to train underlying AI Models or any third-party AI systems.
AI Addendum 1.1, flowed down to third-party providers at 1.2 and corroborated at the inference tier. Part C row C9. The limit is stated rather than hidden: 2.5 reserves aggregated and anonymised Input for maintaining, improving and developing the services · Source
These inputs and outputs may be retained for purposes such as auditability, compliance tracking, and prompt engineering.
Part C row C11. Purposes stated, period not. Prompt engineering is a disclosed internal use of customer Inputs, distinct from model training, which is excluded · Source

Parties You Name0

`recipient_disclosure`: Categories. The individual names are not yet carried as a field on this record, so none are listed here. An empty list is not a finding that no party is named.

See which of these are assessed in this register

Register Check3

AI Role By Offering1

Assessment Basis

Produced under Method v1.1 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 1 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 2.0, dated 2026-07-30
Standards Commit
ecff4421e3e9
Register Control Quality
Not Measured

Verification And Challenge

Every finding on this record is a statement about what could be read on your own published surfaces as at 2026-07-30. 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 2026-07-30 under method v1.1.

The One Thing To Publish First

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

Amber · PartialAutomated Decision-Making

Disclosed, but incompletely.

Where To Put It

This reading was taken from the assessment's own working rather than from a page a reader can open. Nothing published carries it, so there is no address to give.

Where Others Stand

4 organisations in the register say whether decisions about people are made automatically. You publish on it, but not completely.

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.

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