## Fuzzy Matching Techniques

Fuzzy matching is a technique for identifying text elements that partially match a given sentence or section of text. The use of fuzzy matching techniques is common in computer science, identity verification, and a variety of other fields, enabling better business outcomes while allowing natural human behavior to express itself online.

Socure uses a proprietary set of fuzzy matching techniques consisting of dynamic edit-based, token-based, sequence-based, and phonetic-based algorithms. By default, these algorithms are used to match on the following fields:

- **First name**
- **Last name**
- **Street name**
- **City**

For all other fields, we perform exact matching. This includes:

- **House number**
- **Unit number**
- **State**
- **ZIP code**
- **Phone number**
- **Email**
- **Date of birth**
- **Social Security number**
- **Individual Tax Identification Number**

> 📘  
> **Note**:  
> RiskOS™ allows you to configure fuzzy matching for certain fields for KYC, Watchlist Screening with Monitoring, and Predictive Document Verification. See the following for more information:  
> - [Socure Verify (KYC) Settings](https://help.socure.com/riskos/docs/verify-riskos-setup)  
> - [Watchlist Settings](https://help.socure.com/riskos/docs/setup-policies)  
> - Predictive Document Verification Settings in the RiskOS™ Dashboard.