Sanctions, PEPs, and adverse media screened at every session.
ASTERIA KYC AML screening runs name and date of birth against sanctions lists, PEP registers, watchlists, and adverse media datasets as part of every verification session — returning a structured result with match detail and reason codes.
Sanctions, PEP, and adverse media screening — match-strength reasoning and reviewer queue in one workspace.
Every major dataset. One screening pass.
AML screening is only as useful as the datasets behind it. ASTERIA KYC connects to the key data sources required for regulated onboarding compliance.
Sanctions Lists
OFAC, UN, EU, OFSI, and other major international sanctions registers screened. Alias matching and transliteration applied where available.
PEP Registers
Politically Exposed Persons registers screened across global, regional, and national datasets. Family member and close associate links where present.
Watchlists
Law enforcement, financial intelligence unit, and regulatory watchlists applied. Includes known fraud indicators and high-risk profile classifications.
Adverse Media
Negative news screening for financial crime, corruption, money laundering, and fraud coverage. Relevance scoring applied to reduce false positives.
Regulatory Enforcement
Regulatory enforcement action lists from financial services authorities applied where supported. Includes disqualified directors and banned individuals.
Fuzzy & Alias Matching
Name transliteration, phonetic matching, and alias resolution applied to reduce missed matches from alternative name spellings or scripts.
Structured AML result with match detail and reason codes.
Every screening pass returns the overall result, dataset hit detail, match score, and structured reason codes for downstream compliance use.
| Field | Description | Values |
|---|---|---|
| aml_result | Overall AML screening decision | clear / match / review |
| sanctions_result | Sanctions list screening outcome | clear / match / inconclusive |
| pep_result | PEP register screening outcome | clear / match / close_associate |
| adverse_media_result | Adverse media screening outcome | clear / match / inconclusive |
| match_score | Identity match confidence | 0–100 |
| reason_codes | Structured reason array | array of strings |
{
"aml_result": "clear",
"sanctions_result": "clear",
"pep_result": "clear",
"adverse_media_result": "clear",
"match_score": 0,
"reason_codes": ["AML_ALL_CLEAR"]
}Three AML outcomes. None left unstructured.
AML matches do not automatically block onboarding. Match results carry confidence scores and reason codes for compliance team review.
Clear
No sanctions, PEP, watchlist, or adverse media matches returned above the match threshold. Identity screened across all active datasets.
Match
One or more dataset matches returned above the configured threshold. Match detail, matched entity, and dataset source returned with the result.
Review Required
One or more near-matches returned below full confidence. Case routed to human review with match detail and reason codes attached.
Ready to turn identity verification into a controlled compliance workflow?
Use ASTERIA KYC to verify users, screen risk, and preserve evidence from one connected platform.