> For the complete documentation index, see [llms.txt](https://docs.snyk.io/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.snyk.io/agent-security/evo-by-snyk/ai-spm.md).

# AI-SPM

AI Security Posture Management (AI-SPM) gives you visibility, governance, and security oversight of the AI assets in your code. It maps your assets, scores their risk, and helps you enforce governance, so you can maintain compliance and make informed decisions about your AI infrastructure.

{% hint style="info" %}
AI-SPM assets appear under **Inventory** > **Code**.
{% endhint %}

### How AI-SPM works

AI-SPM runs as three agents:

* Map assets: the **Discovery agent** maps the AI assets across your repositories and applications. To learn more, visit [AI asset visibility](/agent-security/evo-by-snyk/ai-spm/ai-asset-visibility.md).
* Assess risk: the **Risk intelligence agent** scores your assets and evaluates your policies to surface violations and risky usage. To learn more, visit [Risk intelligence](/agent-security/evo-by-snyk/ai-spm/risk-intelligence.md).
* Enforce governance: the **Policy agent** governs your assets through policies and issues. To learn more, visit [Policies and issues](/agent-security/evo-by-snyk/platform-surfaces/policies-and-issues.md).

### Set up AI-SPM

Enable Evo, then import the repositories you want AI-SPM to scan.

To enable Evo, visit [Access and authentication](/agent-security/evo-by-snyk/access-and-authentication.md). To import repositories, visit [AI asset visibility](/agent-security/evo-by-snyk/ai-spm/ai-asset-visibility.md).


---

# Agent Instructions
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## 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.snyk.io/agent-security/evo-by-snyk/ai-spm.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.

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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.
