Know Your Customer (KYC)
Identity Verification and AML Compliance Solutions
Electronic identity verification (eIDV) uses personal information such as name, date of birth, or national ID from various data sources to quickly confirm if an individual is who they claim to be. These verification attempts can result in a match, nonmatch, or partial match.
AML Compliance Check
Anti-Money Laundering (AML) refers to a set of laws, regulations, and procedures intended to prevent criminals from disguising illegally obtained funds as legitimate income. This check is used when verifying name, address, and date of birth against two or more independent data sources.
Financial institutions regulated by international AML directives most commonly use this check.
The AML compliance check is an extension of standard eIDV. This check is used when customers require a verification that the same data elements are matched against two or more independent data sources.
This check references name, address, and date of birth
The most common use case is financial institutions regulated by international AML regulations and directives.
iGaming checks use address and date of birth to establish a level of confidence in an individual’s age (18+) and identity for online gaming and restricted or controlled services or content.
Key watch lists include:
- The U.S. Office of Foreign Assets Control (OFAC)
- U.N. Security Council Sanctions Committees
- The European Union’s Common Foreign and Security Policy (CFSP)
- The U.K. HM Treasury
- Politically Exposed Persons (PEPs)
PEP - Politically Exposed Persons
Politically Exposed Persons (PEPs) are those who currently serve or previously held a prominent public function or those with close ties to such a person—present a high risk for potential involvement in corrupt activity, including bribery by virtue of their position and influence.
Databases and lists that focus specifically on individuals and countries with specific sanctions.
The Intelligent Name Translation Engine (INTE) leverages artificial intelligence, big data, research, and feedback loops to solve the problem of traditional character to Latin name translation.
Customers provide Latin Chinese Names while data providers store names in Simplified Chinese. Google and normal translation engines are not effective in translating these names. The problem runs across multiple alphabets, including Chinese, Japanese, Arabic, and Cyrillic.
GDC’s INTE allows greater access to data in markets using various character alphabets. The INTE automatically runs in the background of our API for customers processing checks in China.