AML Function Overview
AML (Anti-Money Laundering) is a function that identifies risks by comparing user identity information with global risk databases. AML evaluates user credibility and identifies various risk factors to enable appropriate actions. ARGOS Identity evaluates risks by comparing information such as name, date of birth, and nationality with global risk person databases.AML Results - Current Status
AML screening results are classified as follows:AML Risk Icons
AML screening results are classified by risk level as follows:Red Flag (High)
Red Flag (Medium)
Red Flag (Low)
Not Screened
Risk Icon Detailed Descriptions
Categories and Risk Levels
AML Screening Threshold
The AML screening threshold is a criterion value used by the system to determine risks. Users can adjust this value to control the sensitivity of risk assessment. Higher threshold settings identify more risk factors, while lower settings identify fewer risk factors. Settings can be adjusted according to business requirements.You can configure the AML screening threshold in the dashboard under Project Management > Policy and Authentication > Anti-Money Laundering (AML).
Input Fields
The following fields are used to check whether the search subject’s name matches names of risk persons in the AML database:Name
- Case sensitivity, capitalization, accents, and name order changes are applied
- String distance algorithms are used to measure differences between names.
- ARGOS Identity library is used for similar name or nickname searches.
- Based on the ARGOS Identity library, completely different texts can also be matched.
Date of Birth
Checks the matching status of the input value with the date of birth in the ARGOS Identity database. If the Profile’s date of birth does not exactly match, the search match rate is recorded as 80%.Nationality
Checks the matching status of the input value with the country in the ARGOS Identity database. If the Profile’s country does not exactly match, the search match rate is recorded as 80%.Nickname Search Example
Screening results for individuals searched by nickname rather than legal name may include person data matching both the legal name and nickname. For example, when searching for Tony, person data matching both Anthony and Tony may be retrieved. ARGOS Identity continues to expand the scope of similar name or nickname searches to provide more accurate search results.Matching Score Calculation
The final Matching score is calculated as the average of input field values. The average of each field value is calculated as follows:Calculation Example
- Name Matching Score: 86%
- Date of Birth Matching Score: 100%
- Nationality Matching: 80%
Search Algorithm
Name searches use the following technologies:- Language variation-based search
- Levenshtein Distance algorithm-based
- Native language search and similar pronunciation search
Response Guide by Risk Level
High Risk
Immediate additional verification and approval procedures required
Medium Risk
Enhanced Due Diligence (EDD) recommended
Low Risk
Apply standard monitoring procedures
Important Notes
AML Database Source Documents
ARGOS Identity’s AML screening is provided based on the following database sources:PEP Methodology
Detailed documentation on PEP (Politically Exposed Person) search methodology
Sanction Content
Detailed documentation on sanctions list content
Sanctions Sources
Detailed documentation on sanctions list database sources
Related Documentation
AML Configuration Guide
Configure AML features in the dashboard
AML Search API
How to use AML Search API
AML Ongoing Monitoring
AML Ongoing Monitoring configuration