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Types

Person: full name, date (or year) of birth, nationality, and (if available) ID numbers. Company: legal name, registration number, country, and known aliases. The more accurate the data, the fewer false matches. If two people share the same name, date of birth + country, usually confirms the right one.

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Datasets

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For Individuals

  • PEP — all Politically Exposed Persons: current, former, and linked.
  • PEP-CURRENT — only current public figures holding active positions.
  • PEP-FORMER — only former public figures who previously held positions of power.
  • PEP-LINKED — people associated with a PEP (family, close contacts).
  • SAN — all sanctions, including current and former listings.
  • SAN-CURRENT — only currently sanctioned individuals.
  • SAN-FORMER — only previously sanctioned individuals.
  • RRE — Reputational Risk Exposure: credible adverse media and negative reports.
  • REL — Regulatory Enforcement Lists: fines, bans, warnings, or official enforcement actions.
  • POI — Profiles of Interest: regions or entities connected to higher risk.
  • DD — Disqualified Directors dataset.
  • INS — Insolvency Register.

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For Businesses

  • PEP — all Politically Exposed Persons: current, former, and linked.
  • PEP-LINKED — associates or family members of a PEP.
  • SAN — all sanctions, both current and former.
  • SAN-CURRENT — only active sanctions.
  • SAN-FORMER — only previously listed sanctions.
  • RRE — Reputational Risk Exposure: negative news and credibility issues.
  • REL — Regulatory Enforcement Lists.
  • POI — Profiles of Interest.
  • INS — Insolvency Register.
  • SOE — all State-Owned Enterprises: current and former.
  • SOE-CURRENT — currently state-owned entities.
  • SOE-FORMER — entities that were formerly state-owned.
Tip: You don’t always need all datasets. Most teams include Sanctions (SAN) and PEP, and add RRE or REL for additional context.

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Filters — How Strict the Search Is

Match threshold: Defines how closely a record must match your subject.
  • Higher threshold = stricter, fewer false positives (but may miss small variations).
  • Lower threshold = broader, catches more potential matches (but increases noise).
Birth-year tolerance: Adds a small ± range when you’re not certain about the exact birth date. PEP options: Select whether to include current, former, or linked individuals. Sanctions status: Limit to current listings or include previously removed ones. Regions & sources: Narrow your search to specific countries or datasets when relevant to your business.

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Results

If the provided details match anyone in the databases, you’ll receive potential profiles to review:
  • Name and identifiers — who the record is about.
  • Why it matched — name, date of birth, or country similarity.
  • Source — which list, register, or article it came from.
  • Confidence signals — matching elements like DOB or nationality.

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Good Habits

  • Always use the subject’s full legal name.
  • Add date of birth and country whenever possible.
  • Record a short reason when dismissing a false match.
  • Stay consistent as a team in how you review and escalate.
  • Run a new check whenever key information changes (new role, country, or large transaction).

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Quick Glossary

  • AML check: screening for potential financial crime or compliance risk.
  • Profile: a potential match that requires review.
  • PEP: a public figure or close contact who carries higher corruption risk.
  • Adverse media / RRE: credible negative news or reports.
  • Sanctions: official “do not deal” lists from governments or international bodies.
  • False positive: a result that looks similar but is not your subject.
  • Monitoring: scheduled or automatic re-checks over time.