> For the complete documentation index, see [llms.txt](https://beosinofficials-organization.gitbook.io/beosin-kyt-user-guide/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://beosinofficials-organization.gitbook.io/beosin-kyt-user-guide/risk-assessment/kya.md).

# KYA

In this module, users are advised to check the current token type being assessed to ensure that the assessment result meets their expectations.

If an address has been identified as a known entity, the system will display the corresponding risk type and entity name.

#### Download Report

Users can download the current assessment result as a report for local storage or use it as a supporting documentation for Suspicious Transaction Report (STR) submission.

## Risk Assessment Results

Users can view the final risk assessment result of an address, as well as the assessment result for each risk dimension.

Currently, Beosin KYT assesses address risk across the following four dimensions:

### Risk Tag Level

If an address has been identified as a known entity, the system assesses the entity’s risk type. For example, if an address belongs to a hacker wallet, this dimension will return the Risk Level corresponding to the hacker risk category.

### Fund Inflow Risk

The system traces the source of funds associated with an address to identify whether there is any inflow involving risky or illicit funds.

If risky fund flow paths are detected, Beosin KYT calculates the amount and proportion of risky funds based on its risk assessment algorithm. The result is then matched against the configured risk strategies to generate the final risk output.

### Fund Outflow Risk

Similar to Fund Inflow Risk, the system traces the destination of funds from an address to identify whether funds are flowing to risky entities.

### Behavioral Risk

In addition to identifying risks based on fund flow relationships, Beosin KYT also incorporates a Behavioral Risk dimension. This feature is designed to identify characteristic transaction behavior patterns and detect hidden money laundering activities as comprehensively as possible.

Users can configure appropriate model-based strategies in the Behavioral Risk module. Once a strategy is enabled, this module will generate the corresponding Behavioral Risk assessment result.

## Fund Inflow Risk Details

This module presents detailed fund inflow risk information, including risk type, risk level, number of hops, risky fund amount, risky fund percentage, and triggered risk strategies.

The number of hops refers to the number of fund transfer steps between a risky entity and the assessed address.

Relevant entities associated with each risk category are also displayed to provide additional investigative leads.

## Fund Outflow Risk Details

The fund outflow risk details follow the same structure as the fund inflow risk details, presenting risk information related to the destination of funds.

## Risk Relationship Graph

To help visualize risk exposure, Beosin KYT provides a Risk Relationship Graph that illustrates risky fund flow paths. Users can review both Fund Inflow and Fund Outflow paths to identify the source or destination of risky assets.

The Risk Relationship Graph can also be downloaded and used as a supporting documentation for STR submission.

## Behavioral Risk Details

This module shows triggered Behavioral Risk results, including behavioral risk type, risk level, statistical results, and corresponding transaction details.

## Fund Analysis

The Fund Analysis module presents the fund composition of an address, providing additional information to support risk review, investigation, and decision-making.