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Public Evidence Packet

Wise - Privacy Policy

Privacy Policy

4ee896c8-0630-4d8f-b571-78aae3c51db3
Screening date
23 Oct 2026, 11:44 UTC
Jurisdiction
Global
Risk screening
Medium · 6/10
Score trace
0 points; unchanged

This packet records PolicyWatcher evidence and AI-assisted screening for one public change. It is not legal advice, a compliance verdict, a certification, or proof that the external source remains unchanged.

  1. 01Source evidence
  2. 02Explainability
  3. 03Governance Relevance
  4. 04Report Output
01

Dataset QA · sanitized public view

Source evidence

Publication gate
Published
Retrieval state
Recorded retrieval available
Latest retrieval
23 Oct 2026, 11:44 UTC
Sanitized channel
direct
Data status
Available
Public snapshot evidence
Available

Public snapshot fingerprints

Previous · version 224c8d27f01acbce767c162ffbe4ae8a7b84223110b9383a7dc9c2b7723d84475Captured 19 Jul 2026, 03:55 UTC
Current · version 3c98c9db2c903d6a34b8e2770153a37be8a6ab820a31508dc870af76a3d2cdae5Captured 23 Oct 2026, 11:44 UTC

Source confidence describes recorded retrieval and publication state. It does not rate the provider policy or certify source authenticity.

02

Source-anchored screening trace

Explainability

Wise's Privacy Policy remains unchanged, detailing extensive data collection, AI use, and global sharing practices with regional rights.

  1. Reason 10 score contribution

    Biometric data collected for identity verification and fraud prevention.

    Related KPI
    Data collection
    Source side
    old snapshot
    Verified exact source passage

    “In some jurisdictions we will also collect facial scan data extracted from your photo or video (known as ‘biometric data’).”

  2. Reason 20 score contribution

    AI models used for financial crime and fraud prevention with limited transparency.

    Related KPI
    Algorithmic transparency
    Source side
    old snapshot
    Verified exact source passage

    “We may use Artificial Intelligence (“AI”), including machine learning models and generative AI large language models (LLMs) to improve the efficiency and effectiveness of our services and our financial crime and fraud prevention processes.”

  3. Reason 30 score contribution

    Broad sharing of personal data with various third parties, including advertisers.

    Related KPI
    Third-party sharing
    Source side
    old snapshot
    Verified exact source passage

    “Advertisers and advertising networks to select and serve relevant advertisements to you and others, including via cookies, pixels, and other technologies.”

Score reasons and deltaScore values are stored AI-assisted screening outputs. Verified anchors confirm only that the quoted passage occurs in the named snapshot; they do not prove the interpretation.

03

Advisory review map

Governance Relevance

EU AI Act

Official Journal text, 2024

Mapped evidence

Which recorded policy statements may be relevant to transparency, automated decisions, data use and human oversight review?

AI training opt-out
Not Available
Algorithmic transparency
Mentioned
Automated decisions
Partial
AI bias and fairness
Absent
Framework source

ISO/IEC 42001

ISO/IEC 42001:2023 overview

Mapped evidence

Which recorded policy statements may inform an AI management-system review of transparency, risk oversight and independent assurance?

Algorithmic transparency
Mentioned
AI bias and fairness
Absent
Independent audit
Certified
Regulatory compliance
Comprehensive
Framework source

NIST AI RMF

AI RMF 1.0; NIST revision in progress, checked 2026-07-29

Mapped evidence

Which recorded policy statements may support Govern, Map, Measure or Manage review questions?

Algorithmic transparency
Mentioned
Automated decisions
Partial
AI bias and fairness
Absent
Framework source

OECD AI Principles

OECD AI Principles, updated 2024

Mapped evidence

Which recorded policy statements may be relevant to transparency, fairness, accountability and user agency review?

Consent mechanism
Opt-Out
Algorithmic transparency
Mentioned
AI bias and fairness
Absent
Independent audit
Certified
Framework source

Mappings identify review relevance between recorded PolicyWatcher KPI fields and framework topics. They are not legal interpretations, conformity assessments, certifications or compliance verdicts.

04

Exact change-bound files

Report Output

Both files are generated from this exact change ID.

Download exact-change PDF Download exact-change JSON
Packet content digest · SHA-256a186271778fb914467d7ee588fd22bf4b761cb859a2f16054a852b762cce7430

Questions before reuse

  1. Does the original Privacy Policy source still match the recorded public snapshot version 3?
  2. Do the cited source passages support each displayed reason, KPI value and regional note?
  3. Which advisory framework topics require specialist legal, risk or governance review for this use case?
  4. Has a later public change superseded this packet before it is reused in a decision or publication?