# How does the system identify fraudsters and bad actors?

The AI engine processes multiple data points to detect modus operandi common to fraudsters, like:

* **Impersonations**, by scanning registered names and profile attributes for suspicious trends.
* **User Generated Content**, by active user feedback like comments and suggestions.
* **Network Connections**, by identifying numbers that have a suspicious trail or user connections.
* **Influenced Actions**, by monitoring for concurrent occurrences of calls and transactional SMS, which often indicate account takeover attempts.

By combining these signals, the platform can detect and flag potential bad actors within the ecosystem.

<br>


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.truecaller.com/truecaller-for-business/features/brand-protection/how-does-the-system-identify-fraudsters-and-bad-actors.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.