> For the complete documentation index, see [llms.txt](https://cortex-docs.paloaltonetworks.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://cortex-docs.paloaltonetworks.com/cortex-cloud-posture-management/cases-and-issues/overview-of-cases/resolving-cases-with-ai.md).

# Resolving cases with AI

To simplify and accelerate case resolution, Cortex Cloud integrates advanced generative intelligence directly into the case management lifecycle. By leveraging built-in machine learning and intelligent grouping logic, Cortex Cloud shifts the focus from resolving isolated issues to a holistic approach that resolves the case as a whole:

* **Intelligent case grouping:** Cortex Cloud automatically consolidates related issues, assets and artifacts into a single unified case that reveals the full scope of an attack.
* **SmartScore prioritization:** Each case is assigned a SmartScore based on its severity and calculated risk. This enables teams to focus on the most critical cases first, ensuring that high-impact security threats, posture gaps, or health issues are handled with appropriate urgency.
* **AI summarization:** Agentic AI is integrated in the case resolution process to automatically summarize context, help you investigate entities, and suggest remediation actions.
* **Guided resolution:** The Resolution Center guides you to resolution with actionable tasks that are designed to remediate the entire case as a single entity, significantly accelerating the path to resolution.

### **Agentic AI**

Cortex Cloud leverages Agentic AI to collaborate on investigations and actively accelerate the entire resolution lifecycle.

<table><thead><tr><th width="248">Feature</th><th>Description</th></tr></thead><tbody><tr><td>AI-generated case summaries</td><td>Instantly analyzes the case’s full scope and impact and accelerates triage.</td></tr><tr><td>Agentic Assistant</td><td><p>The autonomous "brain" of Cortex Cloud. It utilizes AI agents that plan, reason, and investigate complex threats, such as cloud identity theft or container breaches. These agents have access to case context and can create plans and perform actions such as running commands, playbooks, and scripts.</p><p>The Agentic Assistant chat provides an interactive and intelligent way to simplify and streamline complex security operations. Enter a prompt using natural language, and your agent plans and executes the most relevant actions to fulfill your request.</p></td></tr><tr><td>Resolution Center</td><td><p>Provides actionable remediation tasks, recommendations, and progress tracking to guide you step-by-step to a complete resolution.</p><p>With playbook task tracking across all issues and in-context links to the Workplan, you can manage tasks awaiting action, monitor work in progress, and review completed items.</p></td></tr></tbody></table>


---

# 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://cortex-docs.paloaltonetworks.com/cortex-cloud-posture-management/cases-and-issues/overview-of-cases/resolving-cases-with-ai.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.
