> 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-xdr-3.x-rn/cortex-xdr-release-information/features-introduced-in-2024-xdr/june-2024/release-highlights.md).

# Release Highlights

The Cortex XDR 3.11 and Cortex XDR Agent 8.5 release includes the following highlights:

| FEATURE                                                      | DESCRIPTION                                                                                                                                                                                                                                                                                 |
| ------------------------------------------------------------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| Shellcode AI Protection Module                               | Shellcode AI Protection Module: New Precision AI™ machine learning rules are being rolled out to prevent in-memory shellcode attacks in Windows.                                                                                                                                            |
| Dynamic Kernel Protection Module                             | New protection module implemented at the kernel level, which loads during the boot process to protect against kernel-level threats like bootkits, rootkits, and susceptible drivers.                                                                                                        |
| Crypto Wallet BTP Support                                    | An update to the behavioral threat protection (BTP) rules in the Financial Malware protection module now prevents attackers trying to steal or manipulate cryptocurrency wallets stored on Windows and MacOS hosts.                                                                         |
| Revamped Causality Chain Interface                           | To enable faster and more intuitive investigations, the alert Causality Chain interface has been revamped. It now provides easier access to key information about each stage of the causality chain, improving analyst workflows.                                                           |
| Enterprise Multi-Tenant & MSSP Flexible License Model (Beta) | Enterprises and MSSPs who require multiple XDR tenants now have access, through our Beta program, to their own pool of XDR licenses which they can allocate to end-customers, subsidiaries, and business units as needed, using Cortex Gateway for central management of all their tenants. |


---

# 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 by asking a question.

Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters:

```
GET https://cortex-docs.paloaltonetworks.com/cortex-xdr-3.x-rn/cortex-xdr-release-information/features-introduced-in-2024-xdr/june-2024/release-highlights.md?ask=<question>&goal=<user_goal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case.

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.
