> For the complete documentation index, see [llms.txt](https://docs.aicrisk.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.aicrisk.com/admin/agent-scanner-defaults/personal-information.md).
# Personal Information
**Purpose:** The Personal Information Scanner is designed to detect and redact sensitive personal information (PII) from text inputs to ensure user privacy and data protection.
**Functionality:** It utilizes pattern recognition algorithms and regular expressions to identify common types of PII, such as names, addresses, phone numbers, email addresses, and social security numbers, within text data.
**Implementation:** The scanner employs a set of predefined rules and patterns to identify and extract PII from text inputs. This may include matching specific formats, such as email addresses or phone numbers, as well as analyzing contextual clues to accurately identify personal information.
**Usage:** The Personal Information Scanner is commonly used in business environments to automatically detect and remove sensitive information before it is shared or stored.
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# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.
## 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, and the optional `goal` query parameter:
```
GET https://docs.aicrisk.com/admin/agent-scanner-defaults/personal-information.md?ask=&goal=
```
`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.
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.