> For the complete documentation index, see [llms.txt](https://docs.opsmx.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.opsmx.com/code-to-cloud-security-and-scanners/code-security/sast/ai-remediation.md).

# AI Remediation

Automated workflow is integrated into Scan Now, enabling security vulnerabilities identified by OpsMx Delivery Shield (DS) during the Software Development Life Cycle (SDLC) to be automatically routed to OpsMx AI Guardian (AIG) for remediation. This integration focuses on code-level fixes for Static Application Security Testing (SAST) and Software Composition Analysis (SCA) findings in supported languages such as Java and Go, helping accelerate the Mean Time to Remediate (MTTR).

### To Enable AI-Based Remediation Details

AI Remediation is integrated in the Scan Now option. 

1. Expand the project for which you want to view the remediation details. 
2. Click **Open Issues** to view the list of alerts. 

<figure><img src="/files/81Yfo5MHt22pqUQHq4oq" alt=""><figcaption></figcaption></figure>

3. From the alerts list, select the required alert.

<figure><img src="/files/CfxUuwD4p6lXBvtZD6Ze" alt=""><figcaption></figcaption></figure>

4. Navigate to the **Impacted Components** section and click on it.
5. In the list of applications, identify the relevant application and click **Remediate**.

<figure><img src="/files/WBeNueu8GkfIXl93QYVa" alt=""><figcaption></figcaption></figure>

The AI Remediation window is displayed. It analyzes the selected alert and provides a detailed summary of the issue, recommended remediation steps and possible workarounds.&#x20;

<figure><img src="/files/4CuuUFztzaA7F711TXEv" alt=""><figcaption></figcaption></figure>

{% hint style="info" %}
AI Remediation is supported only for repositories hosted on GitHub Cloud. Remediation is performed only when the source details of the associated artifacts or projects are available.
{% endhint %}


---

# 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.opsmx.com/code-to-cloud-security-and-scanners/code-security/sast/ai-remediation.md?ask=<question>&goal=<endgoal>
```

`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.