Home Palo Alto Networks Training CoursesPalo Alto Networks Cortex XDR: Investigation and Response

Palo Alto Networks Cortex XDR: Investigation and Response

Guaranteed to Run
Price
$1,995.00
Duration
2 Days
Delivery Methods
Virtual Instructor Led Private Group
Delivery
Virtual
EST
Description
Objectives
Prerequisites
Content
Course Description

This instructor- led course teach es you how to use the Incidents pages of the Cortex XDR management con sole to investigate attacks. It explains causality chains, detectors in the Analytics Engine, alerts versus logs, log stitching, and the concepts of causality and analytics.

You will learn how to analyze alerts using the Causality and Timeline Views and how to use advanced response actions, such as remediation suggestions, the EDL service, and remote script execution.

Multiple modules focus on how to leverage the collected data. You will create simple search queries in one module and XDR rules in another. The course demonstrate how to use specialized investigation views to visualize artifact- related data, such as IP and Hash Views. Additionally, it provides an introduction to XDR Query Language (XQL). Th e course concludes with Cortex XDR external- data-collection capabilities, including the use of Cortex XDR API to receive external alerts.

Course Objectives
  • Investigate and manage incidents
  • Describe the Cortex XDR causality and analytics concepts
  • Analyze alerts using the Causality and Timeline Views
  • Work with Cortex XDR Proactions such as remote script execution
  • Create and manage on-demand and scheduled search queries in the Query Center
  • Create and manage the Cortex XDR rules BIOC and IOC
  • Working with Cortex XDR assets and inventories
  • Write XQL queries to search datasets and visualize the result sets
  • Work with Cortex XDR’s external-data collection
Who Should Attend?

Cybersecurity analysts and engineers, and security operations specialists

Course Prerequisites

Participants must have taken the course EDU-260 (Cortex XDR: Prevention and Deployment).

Course Content
Module 1: Outline and Overview
Module 2: Incidents, Causality, and Analytics
Module 3: Response and Automation
Module 4: Querying and Rule Creation
Module 5: Assets, XQL, and Data Integration
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