Using Splunk Enterprise Security

This 13.5-hour module prepares security practitioners to use Splunk Enterprise Security (ES). Students identify and track incidents, analyze security risks, use predictive analytics, and discover threats.

Days : 3
Price :

CAD$1,905.00

Clear

Description

Prerequisites

To be successful, students should have a solid understanding of the following modules:

  • Splunk Fundamentals 1 (Retired)
  • Splunk Fundamentals 2 (Retired)

Or the following single-subject modules:

What is Splunk? (WIS)
Intro to Splunk (ITS)
Using Fields (SUF)
Scheduling Reports & Alerts (SRA)
Visualizations (SVZ)
Leveraging Lookups and Subsearches (LLS)
Search Under the Hood (SUH)
Intro to Knowledge Objects (IKO)
Enriching Data with Lookups (EDL)
Data Models (SDM)
Introduction to Dashboards (ITD)

Course Objectives

  • ES concepts, features, and capabilities
  • Assets and identities
  • Security monitoring and Incident investigation
  • Use risk-based alerting and risk analysis
  • Use investigation workbench, timelines, list and summary tools
  • Detecting known types of threats
  • Monitoring for new types of threats
  • Using analytical tools
  • Analyze user behavior for insider threats
  • Use threat intelligence tools
  • Use protocol intelligence and live stream data

Outline: Using Splunk Enterprise Security (USES)

Topic 1 – Getting Started with ES

  • Describe the features and capabilities of Splunk Enterprise Security (ES)
  • Explain how ES helps security practitioners prevent, detect, and respond to threats
  • Describe correlation searches, data models, and notable events
  • Describe user roles in ES
  • Log into Splunk Web and access Splunk for Enterprise Security

Topic 2 – Security Monitoring and Incident Investigation

  • Use the Security Posture dashboard to monitor ES status
  • Use the Incident Review dashboard to investigate notable events
  • Take ownership of an incident and move it through the investigation workflow
  • Create notable events
  • Suppress notable events

Topic 3 – Risk-Based Alerting

  • Give an overview of Risk-Based Alerting
  • View Risk Notables and risk information on the Incident Review dashboard
  • Explain risk scores and how to change an object’s risk score
  • Review the Risk Analysis dashboard
  • Describe annotations
  • Describe the process for retrieving LDAP data for an asset or identity lookup

Topic 4 – Investigations

  • Use investigations to manage incident response activity
  • Use the Investigation Workbench to manage, visualize and coordinate incident investigations
  • Add various items to investigations (notes, action history, collaborators, events, assets, identities, files and URLs)
  • Use investigation timelines, lists and summaries to document and review breach analysis and mitigation efforts

Topic 5 – Using Security Domain Dashboards

  • Use ES to inspect events containing information relevant to active or past incident investigation
  • Identify security domains in ES
  • Use ES security domain dashboards
  • Launch security domain dashboards from Incident Review and from action menus in search results

Topic 6 – Web Intelligence

  • Use the web intelligence dashboards to analyze your network environment
  • Filter and highlight events

Topic 7 – User Intelligence

  • Evaluate the level of insider threat with the user activity and access anomaly dashboards
  • Understand asset and identity concepts
  • Use the Asset and Identity Investigators to analyze events
  • Use the session center for identity resolution
  • Discuss Splunk User Behavior Analytics (UBA) integration

Topic 8 – Threat Intelligence

  • Give an overview of the Threat Intelligence framework and how threat intel is configured in ES
  • Use the Threat Activity dashboard to see which threat sources are interacting with your environment
  • Use the Threat Artifacts dashboard to examine the status of threat intelligence information in your environment

Topic 9 – Protocol Intelligence

  • Explain how network data is input into Splunk events
  • Describe stream events
  • Give an overview of the Protocol Intelligence dashboards and how they can be used to analyze network data