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AI summary

What is sanctions screening?

What is sanctions screening?

Sanctions screening compares a person, organization, vessel, or transaction against named sanctions and restricted-party sources, then reviews possible matches using available identifiers and the source restriction. The process must preserve each list's authority and date. It is not a universal database, automatic identity conclusion, binary risk score, or substitute for legal analysis.

Published
2026-07-20
Retrieved
Not reported
Snapshot
sha256:0d5b19d7af1deeba57a977bb474375ce9b2c343ffc6de71e893f15764f9168cc
Data as of
2026-07-20

Source artifact receipts

Each receipt below describes its exact retained artifact or live source. Dates and digests never cross artifact boundaries.

Scope and material limitation

What this answer covers

The U.S. Consolidated Screening List demonstrates cross-list search while retaining each underlying source. Coverage depends on the named lists and snapshot dates actually checked.

Dated source facts

What the cited record says

Source-snapshot manifest receipt

Reproducible lineage, explicitly unsigned

This receipt attests the source snapshot manifest, not any individual fact.

The answer-series chain record is unsigned. It does not authenticate a person, organization, eligibility state, or individual fact.

Snapshot manifest SHA-256
48e8a615ffd133cb445bd4d1449c7429f88c0e6343a0f459854003a67af99afd
Previous chain SHA-256
440400f282cb63981820c945a23a2bf3da19e9ee9df267f4fdbcd97c10bc2aac
Current chain SHA-256
ec2d6a33d2ff82b3b7605f2bceaa8e39af47506744bd1df77a676bb52802c428
signature_linked_facts
0
Answer-series chain status
unsigned

Primary-source chain

Follow the answer to its source

  1. Consolidated Screening ListU.S. Department of Commerce, International Trade AdministrationAccessed:

    Limitation: The CSL combines named U.S. source lists but is not a universal watchlist. A possible name match requires source-list review and identity resolution.

Re-derive this answer from the cited government file; no Fonteum account is required.

Methodology and limitations

How to interpret this answer

Methodology version: citation-answer/v1

  • No per-person report, risk score, or name-only conclusion is produced.
Read the methodology

Frequently asked questions

Questions about this answer

Does a similar name prove a sanctions match?
No. A possible name match must be resolved with identifiers and the underlying source record.

What’s on file, by the numbers

Platform snapshot · 2026-07-26

13.4Mproviders & companiesProviders, organizations, owners, and facilities on file
26.2Msource-linked factsSource-linked field facts in the dated platform snapshot
90sources with dataDistinct snapshot source IDs with at least one positive record count
79fresh sourcesDistinct source IDs whose latest positive-data snapshot falls within the preceding 45 days
111sources integratedActive registry rows; integration does not establish a load
13state Medicaid jurisdictionsDistinct states represented in the state-exclusions serving table

Integrated, with-data, and fresh-observation counts are separate. No platform-wide source-completeness count is published. Completeness is source-specific and must be evaluated against the named source's expected scope. State coverage is a separate jurisdiction measure.

Source authority is record-specific

Use the issuer named on the record.

Fonteum spans federal, state, and global public publishers. A source page or returned record identifies its issuer and dataset where that metadata is available. A platform registry count does not assign every page to one authority or establish loaded, fresh, or complete coverage.

Browse source records and their stated limitations →

Reproducible by design

Inspect the evidence each published figure actually supplies.

Source and date

Research pages expose the named public file and observation date where those fields are available. Source-file SHA-256 coverage is separate; facts do not currently link deterministically to signatures.

Available derivation

Studies with a retained release and committed derivation link the SQL or method used. Other studies state the evidence and reproduction limits they actually have.

Daily observations

Dated table row-count observations can detect local drift. They do not imply that an upstream publisher released or Fonteum ingested new data that day.

Named medical review

Reviewed by Jennifer Montecillo, MD, medical reviewer. Non-practicing medical reviewer.

Read the full provenance and attestation methodology →

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