PaloAlto Firewall (EDU-262) Cortex XDR: Investigation and Response

Koulutuksen tarkemmat tiedot

Yleiskuvaus

This instructor-led course teaches you how to use the Incidents pages of the Cortex XDR management console 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 demonstrates 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).

Successful completion of this instructor-led course with hands-on lab activities should enable participants to:

Investigate and manage incidents
Describe the Cortex XDR causality and analytics concepts
Analyze alerts using the Causality and Timeline Views
Work with Cortex XDR Pro actions such as remote script execution
Create and manage on-demand and scheduled search queries in the QueryCenter
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

Agenda

Cortex XDR Incidents
Causality and Analytics Concepts
Causality Analysis of Alerts
Advanced Response Actions
Building Search Queries
Building XDR Rules
Cortex XDR Assets
Introduction to XQL
External Data Collection

Kurssityyppi: Luentoja, laboratorioharjoituksia

Kurssikieli: Luennot suomeksi, materiaali englanniksi

Kohderyhmä: Cybersecurity analysts and engineers, Security operations specialists

Esitietovaatimukset: Participants must have completed EDU-260 (Cortex XDR: Prevention and Deployment).

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