Arrow Electronics, Inc.

Using Splunk Enterprise Security 6.6

CODE: SPL_USES

LENGTH: 0,56 day(s)

PRICE: kr15 225,00

Description

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

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

Prerequisites

  • Splunk Fundamentals 1
  • Splunk Fundamentals 2

Or the following single-subject courses:

  • What is Splunk?
  • Intro to Splunk
  • Using Fields
  • Scheduling Reports and Alerts
  • Visualizations
  • Leveraging Lookups and Sub-searches
  • Search Under the Hood
  • Introduction to Knowledge Objects
  • Enriching Data with Lookups
  • Data Models
  • Introduction to Dashboards

Programme

Module 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

Module 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
  • Module 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
    • Module 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
      • Module 5 – Using Security Domain Dashboards

        • Use ES to inspect events containing information relevant to active or past incident investigations
        • Identify security domains in ES
        • Use ES security domain dashboards
        • Launch security domain dashboards from Incident Review and from action menus in search results
        • Module 6 – Web Intelligence

          • Use the web intelligence dashboards to analyze your network
          • Filter and highlight events
          • Module 7 – User Intelligence

            • Evaluate the level of insider threat with the user activity and access anomaly dashboards
            • Understand asset and identity concepts
            • Use the session center for identity resolution
            • Discuss Splunk User Behavior Analytics (UBA) integration
            • Module 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 Activity dashboard to examine the status of threat intelligence information in your environment.
              • Module 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
                • Session Dates