- Types
- Datasets
- For Individuals
- For Businesses
- Filters — How Strict the Search Is
- Results
- Good Habits
- Quick Glossary
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.Datasets
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.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.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).
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.
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).