Palo Alto Networks XSIAM-Analyst Exam Syllabus
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Palo Alto Networks XSIAM-Analyst Exam Objectives
| Section | Weight | Objectives |
|---|---|---|
| Alerting and Detection Processes | 19% | 1.1 Identify and describe the different types of analytic alerts 1.2 Explain alert prioritization handling 1.2.1 Incident scoring 1.2.2 Alert starring 1.2.3 Featured fields 1.2.4 Incident domains 1.3 Configure custom prioritizations 1.4 Identify and describe alert sources and corresponding actions 1.4.1 Correlations 1.4.2 XDR Agent 1.4.3 XDR behavioral indicator of compromise (BIOC) 1.4.4 XDR indicator of compromise (IOC) |
| Incident Handling and Response | 20% | 2.1 Explain the incident creation process 2.2 Review and investigate alert evidence 2.2.1 Forensics 2.2.2 Identity Threat Detection and Response (ITDR) 2.2.3 Causality chain 2.2.4 Timeline 2.3 Identify, analyze, and respond to security events and incidents 2.4 Apply the native automation response action 2.5 Identify, hunt, and investigate leads and IOCs 2.6 Interpret incident context data 2.7 Differentiate between alert grouping and data stitching |
| Incident Handling and Response | 20% | 2.1 Explain the incident creation process 2.2 Review and investigate alert evidence 2.2.1 Forensics 2.2.2 Identity Threat Detection and Response (ITDR) 2.2.3 Causality chain 2.2.4 Timeline 2.3 Identify, analyze, and respond to security events and incidents 2.4 Apply the native automation response action 2.5 Identify, hunt, and investigate leads and IOCs 2.6 Interpret incident context data 2.7 Differentiate between alert grouping and data stitching |
| Incident Handling and Response | 20% | 2.1 Explain the incident creation process 2.2 Review and investigate alert evidence 2.2.1 Forensics 2.2.2 Identity Threat Detection and Response (ITDR) 2.2.3 Causality chain 2.2.4 Timeline 2.3 Identify, analyze, and respond to security events and incidents 2.4 Apply the native automation response action 2.5 Identify, hunt, and investigate leads and IOCs 2.6 Interpret incident context data 2.7 Differentiate between alert grouping and data stitching |
| Incident Handling and Response | 20% | 2.1 Explain the incident creation process 2.2 Review and investigate alert evidence 2.2.1 Forensics 2.2.2 Identity Threat Detection and Response (ITDR) 2.2.3 Causality chain 2.2.4 Timeline 2.3 Identify, analyze, and respond to security events and incidents 2.4 Apply the native automation response action 2.5 Identify, hunt, and investigate leads and IOCs 2.6 Interpret incident context data 2.7 Differentiate between alert grouping and data stitching |
| Incident Handling and Response | 20% | 2.1 Explain the incident creation process 2.2 Review and investigate alert evidence 2.2.1 Forensics 2.2.2 Identity Threat Detection and Response (ITDR) 2.2.3 Causality chain 2.2.4 Timeline 2.3 Identify, analyze, and respond to security events and incidents 2.4 Apply the native automation response action 2.5 Identify, hunt, and investigate leads and IOCs 2.6 Interpret incident context data 2.7 Differentiate between alert grouping and data stitching |
| Automation and Playbooks | 15% | 3.1 Use playbooks for automated incident response 3.2 Identify and describe playbook components 3.2.1 Task types 3.2.2 Sub-playbooks 3.2.3 Error handling 3.3 Explain the purpose of the playground |
| Data Analysis with XQL | 14% | 4.1 Identify and describe Cortex Data Models (XDMs) 4.2 Use XDMs to analyze security events 4.3 Use XQL to query datasets 4.4 Explain XQL data structure 4.4.1 Syntax 4.4.2 Schema 4.4.3 Data sources 4.5 Identify and describe XQL options 4.5.1 Query Library 4.5.2 XQL Helper 4.5.3 Scheduled queries |
| Endpoint Security Management | 12% | 4.1 Identify and describe Cortex Data Models (XDMs) 4.2 Use XDMs to analyze security events 4.3 Use XQL to query datasets 4.4 Explain XQL data structure 4.4.1 Syntax 4.4.2 Schema 4.4.3 Data sources 4.5 Identify and describe XQL options 4.5.1 Query Library 4.5.2 XQL Helper 4.5.3 Scheduled queries |
| Endpoint Security Management | 12% | 5.1 Validate endpoint profiles and policies 5.2 Validate agent operational status 5.3 Monitor endpoint activities 5.4 Respond to endpoint alerts and incidents 5.4.1 Live terminal 5.4.2 Endpoint isolation 5.4.3 Malware scan 5.4.4 Endpoint file retrieval |
| Threat Intelligence Management | 20% | 6.1 Import and manage indicators 6.2 Validate artifacts, verdicts, reputations, and impact 6.3 Explain the process of creating prevention and detection indicator rules 6.4 Explain the process of verdict management 6.5 Explain indicator relationships 6.6 Validate and monitor asset inventory 6.7 Use the attack surface threat response center to identify, review, assess, research, and remediate emerging threats 6.8 Explain attack surface rules functionalit |
| Maintenance and Troubleshooting | 24% | 4.1 Manage exception and exclusion configurations 4.2 Manage XSIAM software component updates (e.g., content, XDR agent, XDR collector, Broker VM) 4.3 Troubleshoot data management issues (e.g., data ingestion, normalization, parsing) 4.4 Troubleshoot Cortex XSIAM components (e.g., agents, integrations, playbooks) |
| Maintenance and Troubleshooting | 24% | 4.1 Manage exception and exclusion configurations 4.2 Manage XSIAM software component updates (e.g., content, XDR agent, XDR collector, Broker VM) 4.3 Troubleshoot data management issues (e.g., data ingestion, normalization, parsing) 4.4 Troubleshoot Cortex XSIAM components (e.g., agents, integrations, playbooks) |
| Planning and Installation | 22% | 1.1 Evaluate the existing IT infrastructure and security posture to align with XSIAM architecture 1.2 Evaluate deployment requirements, objectives, and resources 1.2.1 Hardware 1.2.2 Software 1.2.3 Data sources 1.2.4 Integrations 1.3 Identify communication requirements for XSIAM components 1.4 Install and configure Cortex XSIAM components 1.4.1 Agents 1.4.2 Broker VM 1.4.3 Engine 1.5 Configure user roles, permissions, and access controls |
| Integration and Automation | 30% | 2.1 Onboard data sources (e.g., endpoint, network, cloud, identity) 2.2 Configure automation and feed integrations (e.g., messaging, SIEM, authentication, threat intelligence feeds) 2.3 Implement and maintain Marketplace content packs 2.4 Manage automation workflow 2.4.1 Plan 2.4.2 Playbook tasks 2.4.3 Customize 2.4.4 Debug |
| Content Optimization | 24% | 3. Content Optimization 3.1 Deploy parsing rules for unique data formats 3.2 Deploy data modeling rules for data normalization 3.3 Manage detection rules to align with provided requirements 3.3.1 Correlation 3.3.2 Indicators of compromise (IOCs) and behavioral indicators of compromise (BIOCs) 3.3.3 Indicator rules 3.3.4 Scoring rules 3.3.5 Attack Surface Management (ASM) rules 3.4 Manage incident and alert layout 3.5 Create custom dashboards and reporting templates |
| Maintenance and Troubleshooting | 24% | 4.1 Manage exception and exclusion configurations 4.2 Manage XSIAM software component updates (e.g., content, XDR agent, XDR collector, Broker VM) 4.3 Troubleshoot data management issues (e.g., data ingestion, normalization, parsing) 4.4 Troubleshoot Cortex XSIAM components (e.g., agents, integrations, playbooks) |
| Official Information | https://www.paloaltonetworks.com/services/education/palo-alto-networks-xsiam-analyst |
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