The alias that was the real name
The alert as it lands: Alert 2026-07-10-01142 in your queue: an inbound-side hold on a CBPR+ pacs.008 from Kestrel Machinery Exports GmbH to beneficiary Arkady Selenov in Malta. The filter matched the creditor name against a recorded AKA of list entry SELENTSOV, Arkadiy Pavlovich (Fictional Programme VELA), score 0.93 against a 0.83 threshold. The payment is on hold pending investigation.
All people, companies, banks, list entries, sanctions programmes, and identifiers in this case are fictional and were invented for training. Any resemblance to real persons or entities is coincidental. The list data shown does not come from any real sanctions list.
Stage 1 of 6: Input
THE PAYMENT AS SCREENING SEES IT
- Rail
- Cross-border CBPR+ (pacs.008)
- Debtor
- Kestrel Machinery Exports GmbH (Germany)
- Creditor
- Arkady Selenov (Malta)
- Amount
- EUR 64,000.00
- Purpose
- Balance due — vessel purchase agreement 2026/18
THE LIST (FICTIONAL)
- SELENTSOV, Arkadiy PavlovichAKA: Arkady Selenov, A. P. Selentsov, Arkadi SelentsovDOB 1979-06-23 · Malta · Fictional Programme VELA
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Normalization
- Creditor name (Cdtr/Nm): “Arkady Selenov” → “ARKADY SELENOV” (Uppercase; no punctuation or legal-form tokens to remove.)
- List entry name set: “SELENTSOV, Arkadiy Pavlovich + 3 aliases” → “4 comparable name forms” (The primary name and every alias are normalized into the index, so a payment name is compared against the entry's full name set, not just the headline name.)
Candidates
- le-selentsov-vela: matched on Exact match against recorded alias 'Arkady Selenov' — Alias index lookup: the normalized creditor name equals one of the entry's recorded AKAs character for character.
Scores
- le-selentsov-vela: total 0.93 vs threshold 0.83 (Alias exact match 50%×100%; Alias strength 20%×90%; Country corroboration 20%×100%; Identifier corroboration 10%×50%)
Disposition
Alert generated. An exact hit on a documented full-name alias, with the account jurisdiction matching the entry's recorded country, scores 0.93 against a 0.83 threshold. This is the strongest pattern short of an identifier match and must be investigated before anything moves.
Investigation
- Is the matched alias a genuine identity for the listed person, or a coincidental spelling? Evidence: The fictional list record documents 'Arkady Selenov' as an alternate spelling used on identity papers, not a nickname; The remaining aliases are consistent transliteration variants of the same underlying name. Finding: The alias is a strong identity marker for the listed person, not an accident of spelling.
- Does the beneficiary's date of birth align with the list entry? Evidence: Beneficiary bank confirms the account holder's date of birth as 1979-06-23; List entry date of birth: 1979-06-23. Finding: The dates of birth match exactly.
- Do any hard identifiers align? Evidence: The account was opened with fictional passport P7719302; The list entry records the same fictional passport number. Finding: A hard identifier ties the account holder to the list entry; this is no longer a name-similarity question.
- Is there any indication this is a different person who shares the identifiers? Evidence: No conflicting date of birth, nationality, or address information anywhere in the case file. Finding: Nothing discounts the match; every checked attribute corroborates it.
Final: True match — escalate. Keep the payment on hold and escalate to the sanctions officer with the alias documentation, date-of-birth confirmation, and passport match. The blocking-versus-rejection decision and any regulatory filing belong to that escalation level, and the exact obligations depend on the institution's jurisdiction.
Sources for this case2
- Market practice
Wolfsberg Group Sanctions Screening Guidance ↗ — The Wolfsberg Group
Wolfsberg guidance is industry market practice, not law; institutions vary in how they apply it.
- Simplified educational illustration
Payments Signal editorial teaching models — Payments Signal
What this simplifies: Scoring model is a simplified teaching construct, not a production algorithm.
Used wherever diagrams, scenarios, figures, or example values are didactic constructions rather than sourced facts; every such use carries a simplifications disclosure. All people, companies, banks, and list entries in examples are fictional.