Mastering Splunk for Real-Time Cybersecurity and Operational Intelligence
You're navigating an environment where threats evolve by the minute. Alerts flood your systems. Data is everywhere, but clarity is nowhere. You know Splunk holds the key, but without mastery, it’s just another dashboard - not a decision engine. The pressure to detect breaches faster, reduce incident response times, and prove operational value to leadership is mounting. And if you can’t turn raw logs into actionable intelligence quickly, your team remains reactive, not strategic. Meanwhile, your peers who have cracked the code are being pulled into executive conversations. They’re not just analysts - they’re trusted advisors. They’re the ones presenting breach timelines before the CISO asks, correlating threats across hybrid environments, and automating detection with precision. That level of influence didn’t come from trial and error. It came from structured, battle-tested mastery of Splunk as a real-time intelligence platform. Mastering Splunk for Real-Time Cybersecurity and Operational Intelligence is your direct path from overwhelmed operator to confident intelligence architect. This isn’t about learning commands - it’s about mastering the full lifecycle of data: ingestion, transformation, correlation, visualization, and automated response - all in service of reducing mean time to detect, hardening defenses, and driving operational outcomes. In just 30 days, you’ll go from managing alerts to designing proactive security intelligence frameworks, with a fully documented use case ready to deploy in your environment - a board-ready proposal that demonstrates impact through detection logic, risk scoring, and efficiency metrics. You’ll build it step by step, guided by real-world blueprints used by tier-one SOCs. Take Sarah Kim, Senior Security Analyst at a Fortune 500 financial services firm. After completing this course, she redesigned her organization’s lateral movement detection framework using Splunk, cutting false positives by 68% and reducing alert triage time from 45 minutes to under 7. Her work was fast-tracked into the company’s SOC playbook, and she was promoted within six months. You don’t need more tools. You need mastery. Here’s how this course is structured to help you get there.Course Format & Delivery Details This is not a generic tutorial. Mastering Splunk for Real-Time Cybersecurity and Operational Intelligence is a high-precision, self-paced learning experience engineered for professionals who need deep, applicable expertise - fast. Designed by Splunk architects with 10+ years in enterprise security and IT operations, every module aligns with real-world workflows used in top-tier security operations centers and Fortune 500 IT teams. Key Learning Structure
The course is self-paced, with immediate online access upon enrollment. You are not locked to schedules or deadlines. Study when it fits, from any location, on any device. Most learners complete the core curriculum in 30 to 45 hours, with many implementing their first actionable detection rule within the first week. - On-demand learning with no fixed dates or time commitments
- Optimized for rapid mastery: average completion in 4-6 weeks with 6–8 hours per week
- 80+ hands-on topics, structured into progressive modules for maximum retention and application
- Real-world log samples, detection templates, correlation strategies, and response workflows included
- All content is mobile-friendly and accessible 24/7 across global time zones
Instructor Support & Guidance
Every learner receives direct access to a dedicated course facilitator - a certified Splunk architect with cybersecurity specialization - for concept clarification, project feedback, and troubleshooting support. You’ll submit milestones and receive structured guidance to ensure your work is not just theoretical, but deployment-ready. Certificate of Completion
Upon successful completion, you will earn a Certificate of Completion issued by The Art of Service - a globally recognized credential trusted by organizations in over 120 countries. This certificate validates your ability to design, execute, and operationalize Splunk-based intelligence systems, and can be verified online for employers, auditors, or compliance frameworks. Zero-Risk Enrollment: Satisfied or Refunded
We eliminate risk with a full satisfaction guarantee. If you complete the first three modules and find the course does not meet your expectations for depth, clarity, or professional value, you are eligible for a complete refund - no questions asked. Flexible Payment & Transparent Pricing
Pricing is straightforward with no hidden fees. The one-time fee includes lifetime access, all future content updates, and certification. We accept major payment methods including Visa, Mastercard, and PayPal - all processed securely with bank-level encryption. Access & Delivery Process
After enrollment, you’ll receive a confirmation email. Your access details and login credentials will be delivered separately once your course materials are fully provisioned, ensuring a seamless onboarding experience. Will This Work For Me?
Yes - especially if you’re: - A SOC analyst needing to advance beyond alert triage
- An IT operations lead responsible for system reliability and incident correlation
- A security engineer tasked with improving detection coverage
- A compliance officer required to demonstrate audit-ready log visibility
- New to Splunk but working in a security or infrastructure role
This works even if: You’ve only used basic Splunk searches before, your environment uses hybrid cloud infrastructure, or you're under pressure to deliver results without dedicated training time. The course is designed for practitioners, not theorists - with step-by-step breakdowns, real data sets, and repeatable frameworks that integrate into live environments. This is not guesswork. It’s engineered mastery. With lifetime access, ongoing updates, and expert support, you’re not just buying a course - you’re gaining a career-long advantage.
Module 1: Foundations of Splunk Architecture and Data Ingestion - Understanding Splunk’s role in cybersecurity and operational intelligence
- Core Splunk components: Indexers, forwarders, search heads, and deployment servers
- Differentiating Splunk Enterprise, Splunk Cloud, and Splunk Light
- Installing and configuring universal forwarders
- Data input types: Files, network ports, scripts, and Windows Event Logs
- Configuring TCP and UDP inputs for log collection
- Managing data ingestion with inputs.conf
- Setting source types, hosts, and source metadata accurately
- Using monitor stanza to track log directory changes
- Data parsing stages: preprocessing, timestamp identification, and line merging
- Understanding data licensing and volume estimation
- Best practices for scalable data forwarding
- Setting up distributed topologies for large environments
- Securing data transmission with SSL/TLS
- Validating data flow with real-time search monitoring
Module 2: Data Normalization and Field Extraction - Understanding Splunk’s data model: Index, source type, source, host
- Creating and applying custom source types
- Using props.conf and transforms.conf for advanced parsing
- Building regex patterns for consistent field extraction
- Using the Field Extractor tool effectively
- Defining structured fields from unstructured logs
- Normalizing timestamps across time zones and log formats
- Mapping common event types: authentication, firewall, DNS, malware
- Creating reusable extraction configurations
- Validating extraction accuracy with sample data sets
- Using EVAL and CASE statements in field processing
- Building lookups for categorical enrichment
- Integrating external reference data via CSV lookups
- Configuring automatic lookups with transforms.conf
- Using KV_MODE to parse key-value, JSON, XML, and delimiter-separated logs
- Handling multi-line events and stack traces
Module 3: SPL Fundamentals and Search Optimization - Core syntax of Search Processing Language (SPL)
- Using base searches with index, sourcetype, and time modifiers
- Filtering data with search, where, and rex commands
- Understanding pipe-driven processing in SPL
- Selecting and renaming fields with table and rename
- Sorting results with sort and dedup
- Limiting output with head, tail, and top
- Grouping events with stats and eventstats
- Calculating counts, averages, sums, and percentiles
- Using transaction to group related events
- Applying timechart for timeline-based aggregation
- Formatting results with fieldformat and convert
- Optimizing search performance with early filtering
- Using fields - to reduce data transfer overhead
- Diagnosing slow searches using Job Inspector
- Setting time modifiers accurately: earliest, latest, relative vs absolute
- Saving searches as references for repeated use
Module 4: Advanced Correlation and Anomaly Detection - Designing detection logic using correlation search patterns
- Identifying brute force attacks through failed logins and IP grouping
- Detecting lateral movement via unusual host-to-host connections
- Using join to combine data from multiple sources
- Applying subsearches for dynamic thresholds
- Building baselines with time-based statistical models
- Using anomalousvalue to flag outliers in event fields
- Detecting rare processes or command lines with rare command
- Creating risk scores using multiple contributing factors
- Implementing weighted scoring with eval and case logic
- Using tstats for high-performance summary indexing
- Building datamodels to accelerate correlation searches
- Pivot interface for ad hoc analysis without SPL
- Scheduling correlation searches with alerts
- Reducing noise with adaptive thresholding
- Integrating threat intelligence feeds into detection logic
- Enriching alerts with MITRE ATT&CK mappings
Module 5: Real-Time Alerting and Incident Response - Configuring saved searches as alerts
- Setting trigger conditions: number of results, change in value
- Scheduling alert frequency and suppression rules
- Throttling alerts to prevent notification floods
- Dispatching actions based on alert severity
- Sending email notifications with custom templates
- Triggering scripts and automation runbooks
- Integrating with Slack and Microsoft Teams
- Using webhooks to connect to SOAR platforms
- Creating adaptive response actions with conditional logic
- Automating containment steps: IP blocking, account locking
- Logging alert execution history for audit compliance
- Using correlation search to deduplicate related alerts
- Assigning alerts to roles and individuals in Incident Review
- Setting SLA timers for incident resolution
- Documenting triage decisions within the interface
- Exporting incident reports for escalation
Module 6: Cybersecurity-Specific Use Cases - Monitoring Windows Event ID 4625 for account lockouts
- Detecting PowerShell obfuscation techniques
- Identifying suspicious WMI activity
- Tracking PsExec and remote command execution
- Analyzing DNS tunneling patterns
- Mapping beaconing behavior to C2 servers
- Correlating firewall denies with endpoint alerts
- Monitoring RDP and SSH login anomalies
- Detecting golden ticket and pass-the-hash attacks
- Validating Kerberos authentication integrity
- Tracking endpoint protection evasion attempts
- Using Sysmon logs for high-fidelity visibility
- Analyzing process creation events for suspicious parents
- Detecting living-off-the-land binaries (LOLBins)
- Monitoring scheduled task creation and modification
- Alerting on fileless malware indicators
- Correlating email gateway logs with user activity
- Building phishing detection workflows
- Tracking malicious URL clicks in proxy logs
- Creating role-based threat dashboards for analysts
Module 7: Operational Intelligence and IT Monitoring - Monitoring server uptime and availability
- Tracking application error logs and stack traces
- Identifying service degradation through log volume changes
- Correlating infrastructure events with performance metrics
- Using Splunk with AWS CloudWatch and Azure Monitor
- Monitoring Kubernetes and container logs
- Alerting on deployment failure patterns
- Tracking CI/CD pipeline logs for anomalies
- Detecting configuration drift across systems
- Validating patch compliance across endpoints
- Monitoring database query performance
- Identifying slow-running SQL statements
- Correlating web server logs with backend failures
- Tracking API error rates and latency spikes
- Measuring SLA adherence through log analysis
- Generating uptime reports for leadership
- Automating weekly operational summaries
- Creating executive dashboards for IT health
- Using tstats for pre-aggregated performance reporting
- Integrating with ServiceNow for ticket automation
Module 8: Visualization and Dashboard Design - Choosing the right visualization: line, bar, pie, gauge, single value
- Building dynamic dashboards with input filters
- Using time range pickers and dropdowns for interactivity
- Linking dashboards to drill-down into root cause
- Designing mobile-responsive layouts
- Applying consistent branding and color schemes
- Using panels to organize related metrics
- Embedding real-time searches in dashboards
- Setting refresh intervals for live monitoring
- Using jsontonormal to clean complex payloads
- Incorporating drilldown actions for investigation
- Building navigation menus for dashboard suites
- Restricting access with role-based views
- Exporting dashboards for presentations
- Using dashboard templates for consistency
- Documenting dashboard purpose and usage
- Validating dashboard performance under load
- Sharing dashboards securely across teams
Module 9: Security Frameworks and Compliance Integration - Aligning Splunk detections with MITRE ATT&CK
- Mapping searches to MITRE tactics and techniques
- Using the MITRE Navigator within Splunk
- Integrating with Splunk’s Security Posture Management
- Tracking detection coverage across the kill chain
- Reporting on detection maturity levels
- Using NIST SP 800-53 controls as detection targets
- Mapping log sources to compliance requirements
- Building audit-ready compliance dashboards
- Automating evidence collection for PCI DSS
- Supporting HIPAA audit logging requirements
- Meeting SOX controls with access log analysis
- Generating proof of log retention and access
- Creating compliance exception reports
- Using saved searches to fulfill auditor requests
- Documenting detection logic for review
- Version controlling critical security searches
- Implementing change management for Splunk configs
Module 10: Automation, Scripting, and Integration - Writing Python scripts for custom alert actions
- Using Splunk’s REST API for automation
- Authenticating with session tokens and API keys
- Querying saved searches programmatically
- Posting events to custom indices via API
- Integrating with Git for configuration versioning
- Exporting and importing apps with CLI tools
- Automating backup of Splunk configurations
- Scheduling bulk operations with cron
- Using the Splunk SDK for Python
- Building custom alert actions with scripts
- Writing scripts to parse alert payloads
- Integrating with Jira for ticket creation
- Triggering SOAR playbooks via webhook
- Using Phantom and Demisto with Splunk alerts
- Validating integration endpoints with curl
- Handling JSON payload structure in automation
- Logging script execution for audit purposes
- Implementing error handling and retry logic
- Testing integrations in staging environments
Module 11: Performance Tuning and Scalability - Assessing search performance with Job Inspector
- Identifying slow operations in complex pipelines
- Optimizing search time range settings
- Reducing data processing with indexed fields
- Using summary indexing to precompute results
- Scheduling tstats-based reports for efficiency
- Choosing appropriate time spans for caching
- Managing index size with smart retention policies
- Archiving cold data to object storage
- Tuning indexer clustering for high availability
- Configuring search affinity for performance
- Using search head clustering for load distribution
- Monitoring system health with monitoring console
- Viewing indexer performance metrics
- Identifying resource bottlenecks: CPU, memory, disk IO
- Scaling forwarder deployment with deployment server
- Managing configurations across thousands of agents
- Validating parsing load on search heads
- Using btool to debug configuration conflicts
- Planning capacity based on daily ingestion rates
Module 12: Advanced Threat Hunting and Proactive Defense - Defining hypotheses for threat hunting
- Using Splunk to validate suspected attack vectors
- Hunting for persistence mechanisms
- Identifying unauthorized scheduled tasks
- Searching for registry modifications
- Detecting backdoor accounts and hidden users
- Investigating anomalous process trees
- Using behavioral baselines to spot deviations
- Searching for known malicious indicators at scale
- Running retrospective analysis on historical data
- Using faster-than-real-time analysis for breach timelines
- Mapping attacker movements across systems
- Building attack storytelling dashboards
- Determining dwell time and scope of compromise
- Generating executive incident summaries
- Creating repeatable hunt playbooks
- Documenting findings with Splunk notes and annotations
- Sharing hunting results with stakeholders
- Converting successful hunts into production alerts
- Integrating threat hunting into weekly operations
Module 13: Certification Project and Real-World Implementation - Defining your organization’s priority use case
- Selecting a high-impact detection or monitoring objective
- Designing a data ingestion and parsing strategy
- Creating a normalized field set for consistency
- Writing a correlation search with alert logic
- Configuring real-time alerting and notification
- Building a dashboard to monitor the use case
- Adding drill-down capabilities for investigation
- Testing the solution with sample attack data
- Optimizing performance and reducing false positives
- Documenting the detection logic and expected behavior
- Creating a board-ready proposal with metrics
- Estimating reduction in mean time to detect
- Projecting operational efficiency gains
- Identifying integration points with existing tools
- Securing stakeholder buy-in for deployment
- Presenting results to internal review teams
- Receiving expert feedback on your implementation
- Finalizing project documentation for certification
- Submitting your work for Certificate of Completion
- Understanding Splunk’s role in cybersecurity and operational intelligence
- Core Splunk components: Indexers, forwarders, search heads, and deployment servers
- Differentiating Splunk Enterprise, Splunk Cloud, and Splunk Light
- Installing and configuring universal forwarders
- Data input types: Files, network ports, scripts, and Windows Event Logs
- Configuring TCP and UDP inputs for log collection
- Managing data ingestion with inputs.conf
- Setting source types, hosts, and source metadata accurately
- Using monitor stanza to track log directory changes
- Data parsing stages: preprocessing, timestamp identification, and line merging
- Understanding data licensing and volume estimation
- Best practices for scalable data forwarding
- Setting up distributed topologies for large environments
- Securing data transmission with SSL/TLS
- Validating data flow with real-time search monitoring
Module 2: Data Normalization and Field Extraction - Understanding Splunk’s data model: Index, source type, source, host
- Creating and applying custom source types
- Using props.conf and transforms.conf for advanced parsing
- Building regex patterns for consistent field extraction
- Using the Field Extractor tool effectively
- Defining structured fields from unstructured logs
- Normalizing timestamps across time zones and log formats
- Mapping common event types: authentication, firewall, DNS, malware
- Creating reusable extraction configurations
- Validating extraction accuracy with sample data sets
- Using EVAL and CASE statements in field processing
- Building lookups for categorical enrichment
- Integrating external reference data via CSV lookups
- Configuring automatic lookups with transforms.conf
- Using KV_MODE to parse key-value, JSON, XML, and delimiter-separated logs
- Handling multi-line events and stack traces
Module 3: SPL Fundamentals and Search Optimization - Core syntax of Search Processing Language (SPL)
- Using base searches with index, sourcetype, and time modifiers
- Filtering data with search, where, and rex commands
- Understanding pipe-driven processing in SPL
- Selecting and renaming fields with table and rename
- Sorting results with sort and dedup
- Limiting output with head, tail, and top
- Grouping events with stats and eventstats
- Calculating counts, averages, sums, and percentiles
- Using transaction to group related events
- Applying timechart for timeline-based aggregation
- Formatting results with fieldformat and convert
- Optimizing search performance with early filtering
- Using fields - to reduce data transfer overhead
- Diagnosing slow searches using Job Inspector
- Setting time modifiers accurately: earliest, latest, relative vs absolute
- Saving searches as references for repeated use
Module 4: Advanced Correlation and Anomaly Detection - Designing detection logic using correlation search patterns
- Identifying brute force attacks through failed logins and IP grouping
- Detecting lateral movement via unusual host-to-host connections
- Using join to combine data from multiple sources
- Applying subsearches for dynamic thresholds
- Building baselines with time-based statistical models
- Using anomalousvalue to flag outliers in event fields
- Detecting rare processes or command lines with rare command
- Creating risk scores using multiple contributing factors
- Implementing weighted scoring with eval and case logic
- Using tstats for high-performance summary indexing
- Building datamodels to accelerate correlation searches
- Pivot interface for ad hoc analysis without SPL
- Scheduling correlation searches with alerts
- Reducing noise with adaptive thresholding
- Integrating threat intelligence feeds into detection logic
- Enriching alerts with MITRE ATT&CK mappings
Module 5: Real-Time Alerting and Incident Response - Configuring saved searches as alerts
- Setting trigger conditions: number of results, change in value
- Scheduling alert frequency and suppression rules
- Throttling alerts to prevent notification floods
- Dispatching actions based on alert severity
- Sending email notifications with custom templates
- Triggering scripts and automation runbooks
- Integrating with Slack and Microsoft Teams
- Using webhooks to connect to SOAR platforms
- Creating adaptive response actions with conditional logic
- Automating containment steps: IP blocking, account locking
- Logging alert execution history for audit compliance
- Using correlation search to deduplicate related alerts
- Assigning alerts to roles and individuals in Incident Review
- Setting SLA timers for incident resolution
- Documenting triage decisions within the interface
- Exporting incident reports for escalation
Module 6: Cybersecurity-Specific Use Cases - Monitoring Windows Event ID 4625 for account lockouts
- Detecting PowerShell obfuscation techniques
- Identifying suspicious WMI activity
- Tracking PsExec and remote command execution
- Analyzing DNS tunneling patterns
- Mapping beaconing behavior to C2 servers
- Correlating firewall denies with endpoint alerts
- Monitoring RDP and SSH login anomalies
- Detecting golden ticket and pass-the-hash attacks
- Validating Kerberos authentication integrity
- Tracking endpoint protection evasion attempts
- Using Sysmon logs for high-fidelity visibility
- Analyzing process creation events for suspicious parents
- Detecting living-off-the-land binaries (LOLBins)
- Monitoring scheduled task creation and modification
- Alerting on fileless malware indicators
- Correlating email gateway logs with user activity
- Building phishing detection workflows
- Tracking malicious URL clicks in proxy logs
- Creating role-based threat dashboards for analysts
Module 7: Operational Intelligence and IT Monitoring - Monitoring server uptime and availability
- Tracking application error logs and stack traces
- Identifying service degradation through log volume changes
- Correlating infrastructure events with performance metrics
- Using Splunk with AWS CloudWatch and Azure Monitor
- Monitoring Kubernetes and container logs
- Alerting on deployment failure patterns
- Tracking CI/CD pipeline logs for anomalies
- Detecting configuration drift across systems
- Validating patch compliance across endpoints
- Monitoring database query performance
- Identifying slow-running SQL statements
- Correlating web server logs with backend failures
- Tracking API error rates and latency spikes
- Measuring SLA adherence through log analysis
- Generating uptime reports for leadership
- Automating weekly operational summaries
- Creating executive dashboards for IT health
- Using tstats for pre-aggregated performance reporting
- Integrating with ServiceNow for ticket automation
Module 8: Visualization and Dashboard Design - Choosing the right visualization: line, bar, pie, gauge, single value
- Building dynamic dashboards with input filters
- Using time range pickers and dropdowns for interactivity
- Linking dashboards to drill-down into root cause
- Designing mobile-responsive layouts
- Applying consistent branding and color schemes
- Using panels to organize related metrics
- Embedding real-time searches in dashboards
- Setting refresh intervals for live monitoring
- Using jsontonormal to clean complex payloads
- Incorporating drilldown actions for investigation
- Building navigation menus for dashboard suites
- Restricting access with role-based views
- Exporting dashboards for presentations
- Using dashboard templates for consistency
- Documenting dashboard purpose and usage
- Validating dashboard performance under load
- Sharing dashboards securely across teams
Module 9: Security Frameworks and Compliance Integration - Aligning Splunk detections with MITRE ATT&CK
- Mapping searches to MITRE tactics and techniques
- Using the MITRE Navigator within Splunk
- Integrating with Splunk’s Security Posture Management
- Tracking detection coverage across the kill chain
- Reporting on detection maturity levels
- Using NIST SP 800-53 controls as detection targets
- Mapping log sources to compliance requirements
- Building audit-ready compliance dashboards
- Automating evidence collection for PCI DSS
- Supporting HIPAA audit logging requirements
- Meeting SOX controls with access log analysis
- Generating proof of log retention and access
- Creating compliance exception reports
- Using saved searches to fulfill auditor requests
- Documenting detection logic for review
- Version controlling critical security searches
- Implementing change management for Splunk configs
Module 10: Automation, Scripting, and Integration - Writing Python scripts for custom alert actions
- Using Splunk’s REST API for automation
- Authenticating with session tokens and API keys
- Querying saved searches programmatically
- Posting events to custom indices via API
- Integrating with Git for configuration versioning
- Exporting and importing apps with CLI tools
- Automating backup of Splunk configurations
- Scheduling bulk operations with cron
- Using the Splunk SDK for Python
- Building custom alert actions with scripts
- Writing scripts to parse alert payloads
- Integrating with Jira for ticket creation
- Triggering SOAR playbooks via webhook
- Using Phantom and Demisto with Splunk alerts
- Validating integration endpoints with curl
- Handling JSON payload structure in automation
- Logging script execution for audit purposes
- Implementing error handling and retry logic
- Testing integrations in staging environments
Module 11: Performance Tuning and Scalability - Assessing search performance with Job Inspector
- Identifying slow operations in complex pipelines
- Optimizing search time range settings
- Reducing data processing with indexed fields
- Using summary indexing to precompute results
- Scheduling tstats-based reports for efficiency
- Choosing appropriate time spans for caching
- Managing index size with smart retention policies
- Archiving cold data to object storage
- Tuning indexer clustering for high availability
- Configuring search affinity for performance
- Using search head clustering for load distribution
- Monitoring system health with monitoring console
- Viewing indexer performance metrics
- Identifying resource bottlenecks: CPU, memory, disk IO
- Scaling forwarder deployment with deployment server
- Managing configurations across thousands of agents
- Validating parsing load on search heads
- Using btool to debug configuration conflicts
- Planning capacity based on daily ingestion rates
Module 12: Advanced Threat Hunting and Proactive Defense - Defining hypotheses for threat hunting
- Using Splunk to validate suspected attack vectors
- Hunting for persistence mechanisms
- Identifying unauthorized scheduled tasks
- Searching for registry modifications
- Detecting backdoor accounts and hidden users
- Investigating anomalous process trees
- Using behavioral baselines to spot deviations
- Searching for known malicious indicators at scale
- Running retrospective analysis on historical data
- Using faster-than-real-time analysis for breach timelines
- Mapping attacker movements across systems
- Building attack storytelling dashboards
- Determining dwell time and scope of compromise
- Generating executive incident summaries
- Creating repeatable hunt playbooks
- Documenting findings with Splunk notes and annotations
- Sharing hunting results with stakeholders
- Converting successful hunts into production alerts
- Integrating threat hunting into weekly operations
Module 13: Certification Project and Real-World Implementation - Defining your organization’s priority use case
- Selecting a high-impact detection or monitoring objective
- Designing a data ingestion and parsing strategy
- Creating a normalized field set for consistency
- Writing a correlation search with alert logic
- Configuring real-time alerting and notification
- Building a dashboard to monitor the use case
- Adding drill-down capabilities for investigation
- Testing the solution with sample attack data
- Optimizing performance and reducing false positives
- Documenting the detection logic and expected behavior
- Creating a board-ready proposal with metrics
- Estimating reduction in mean time to detect
- Projecting operational efficiency gains
- Identifying integration points with existing tools
- Securing stakeholder buy-in for deployment
- Presenting results to internal review teams
- Receiving expert feedback on your implementation
- Finalizing project documentation for certification
- Submitting your work for Certificate of Completion
- Core syntax of Search Processing Language (SPL)
- Using base searches with index, sourcetype, and time modifiers
- Filtering data with search, where, and rex commands
- Understanding pipe-driven processing in SPL
- Selecting and renaming fields with table and rename
- Sorting results with sort and dedup
- Limiting output with head, tail, and top
- Grouping events with stats and eventstats
- Calculating counts, averages, sums, and percentiles
- Using transaction to group related events
- Applying timechart for timeline-based aggregation
- Formatting results with fieldformat and convert
- Optimizing search performance with early filtering
- Using fields - to reduce data transfer overhead
- Diagnosing slow searches using Job Inspector
- Setting time modifiers accurately: earliest, latest, relative vs absolute
- Saving searches as references for repeated use
Module 4: Advanced Correlation and Anomaly Detection - Designing detection logic using correlation search patterns
- Identifying brute force attacks through failed logins and IP grouping
- Detecting lateral movement via unusual host-to-host connections
- Using join to combine data from multiple sources
- Applying subsearches for dynamic thresholds
- Building baselines with time-based statistical models
- Using anomalousvalue to flag outliers in event fields
- Detecting rare processes or command lines with rare command
- Creating risk scores using multiple contributing factors
- Implementing weighted scoring with eval and case logic
- Using tstats for high-performance summary indexing
- Building datamodels to accelerate correlation searches
- Pivot interface for ad hoc analysis without SPL
- Scheduling correlation searches with alerts
- Reducing noise with adaptive thresholding
- Integrating threat intelligence feeds into detection logic
- Enriching alerts with MITRE ATT&CK mappings
Module 5: Real-Time Alerting and Incident Response - Configuring saved searches as alerts
- Setting trigger conditions: number of results, change in value
- Scheduling alert frequency and suppression rules
- Throttling alerts to prevent notification floods
- Dispatching actions based on alert severity
- Sending email notifications with custom templates
- Triggering scripts and automation runbooks
- Integrating with Slack and Microsoft Teams
- Using webhooks to connect to SOAR platforms
- Creating adaptive response actions with conditional logic
- Automating containment steps: IP blocking, account locking
- Logging alert execution history for audit compliance
- Using correlation search to deduplicate related alerts
- Assigning alerts to roles and individuals in Incident Review
- Setting SLA timers for incident resolution
- Documenting triage decisions within the interface
- Exporting incident reports for escalation
Module 6: Cybersecurity-Specific Use Cases - Monitoring Windows Event ID 4625 for account lockouts
- Detecting PowerShell obfuscation techniques
- Identifying suspicious WMI activity
- Tracking PsExec and remote command execution
- Analyzing DNS tunneling patterns
- Mapping beaconing behavior to C2 servers
- Correlating firewall denies with endpoint alerts
- Monitoring RDP and SSH login anomalies
- Detecting golden ticket and pass-the-hash attacks
- Validating Kerberos authentication integrity
- Tracking endpoint protection evasion attempts
- Using Sysmon logs for high-fidelity visibility
- Analyzing process creation events for suspicious parents
- Detecting living-off-the-land binaries (LOLBins)
- Monitoring scheduled task creation and modification
- Alerting on fileless malware indicators
- Correlating email gateway logs with user activity
- Building phishing detection workflows
- Tracking malicious URL clicks in proxy logs
- Creating role-based threat dashboards for analysts
Module 7: Operational Intelligence and IT Monitoring - Monitoring server uptime and availability
- Tracking application error logs and stack traces
- Identifying service degradation through log volume changes
- Correlating infrastructure events with performance metrics
- Using Splunk with AWS CloudWatch and Azure Monitor
- Monitoring Kubernetes and container logs
- Alerting on deployment failure patterns
- Tracking CI/CD pipeline logs for anomalies
- Detecting configuration drift across systems
- Validating patch compliance across endpoints
- Monitoring database query performance
- Identifying slow-running SQL statements
- Correlating web server logs with backend failures
- Tracking API error rates and latency spikes
- Measuring SLA adherence through log analysis
- Generating uptime reports for leadership
- Automating weekly operational summaries
- Creating executive dashboards for IT health
- Using tstats for pre-aggregated performance reporting
- Integrating with ServiceNow for ticket automation
Module 8: Visualization and Dashboard Design - Choosing the right visualization: line, bar, pie, gauge, single value
- Building dynamic dashboards with input filters
- Using time range pickers and dropdowns for interactivity
- Linking dashboards to drill-down into root cause
- Designing mobile-responsive layouts
- Applying consistent branding and color schemes
- Using panels to organize related metrics
- Embedding real-time searches in dashboards
- Setting refresh intervals for live monitoring
- Using jsontonormal to clean complex payloads
- Incorporating drilldown actions for investigation
- Building navigation menus for dashboard suites
- Restricting access with role-based views
- Exporting dashboards for presentations
- Using dashboard templates for consistency
- Documenting dashboard purpose and usage
- Validating dashboard performance under load
- Sharing dashboards securely across teams
Module 9: Security Frameworks and Compliance Integration - Aligning Splunk detections with MITRE ATT&CK
- Mapping searches to MITRE tactics and techniques
- Using the MITRE Navigator within Splunk
- Integrating with Splunk’s Security Posture Management
- Tracking detection coverage across the kill chain
- Reporting on detection maturity levels
- Using NIST SP 800-53 controls as detection targets
- Mapping log sources to compliance requirements
- Building audit-ready compliance dashboards
- Automating evidence collection for PCI DSS
- Supporting HIPAA audit logging requirements
- Meeting SOX controls with access log analysis
- Generating proof of log retention and access
- Creating compliance exception reports
- Using saved searches to fulfill auditor requests
- Documenting detection logic for review
- Version controlling critical security searches
- Implementing change management for Splunk configs
Module 10: Automation, Scripting, and Integration - Writing Python scripts for custom alert actions
- Using Splunk’s REST API for automation
- Authenticating with session tokens and API keys
- Querying saved searches programmatically
- Posting events to custom indices via API
- Integrating with Git for configuration versioning
- Exporting and importing apps with CLI tools
- Automating backup of Splunk configurations
- Scheduling bulk operations with cron
- Using the Splunk SDK for Python
- Building custom alert actions with scripts
- Writing scripts to parse alert payloads
- Integrating with Jira for ticket creation
- Triggering SOAR playbooks via webhook
- Using Phantom and Demisto with Splunk alerts
- Validating integration endpoints with curl
- Handling JSON payload structure in automation
- Logging script execution for audit purposes
- Implementing error handling and retry logic
- Testing integrations in staging environments
Module 11: Performance Tuning and Scalability - Assessing search performance with Job Inspector
- Identifying slow operations in complex pipelines
- Optimizing search time range settings
- Reducing data processing with indexed fields
- Using summary indexing to precompute results
- Scheduling tstats-based reports for efficiency
- Choosing appropriate time spans for caching
- Managing index size with smart retention policies
- Archiving cold data to object storage
- Tuning indexer clustering for high availability
- Configuring search affinity for performance
- Using search head clustering for load distribution
- Monitoring system health with monitoring console
- Viewing indexer performance metrics
- Identifying resource bottlenecks: CPU, memory, disk IO
- Scaling forwarder deployment with deployment server
- Managing configurations across thousands of agents
- Validating parsing load on search heads
- Using btool to debug configuration conflicts
- Planning capacity based on daily ingestion rates
Module 12: Advanced Threat Hunting and Proactive Defense - Defining hypotheses for threat hunting
- Using Splunk to validate suspected attack vectors
- Hunting for persistence mechanisms
- Identifying unauthorized scheduled tasks
- Searching for registry modifications
- Detecting backdoor accounts and hidden users
- Investigating anomalous process trees
- Using behavioral baselines to spot deviations
- Searching for known malicious indicators at scale
- Running retrospective analysis on historical data
- Using faster-than-real-time analysis for breach timelines
- Mapping attacker movements across systems
- Building attack storytelling dashboards
- Determining dwell time and scope of compromise
- Generating executive incident summaries
- Creating repeatable hunt playbooks
- Documenting findings with Splunk notes and annotations
- Sharing hunting results with stakeholders
- Converting successful hunts into production alerts
- Integrating threat hunting into weekly operations
Module 13: Certification Project and Real-World Implementation - Defining your organization’s priority use case
- Selecting a high-impact detection or monitoring objective
- Designing a data ingestion and parsing strategy
- Creating a normalized field set for consistency
- Writing a correlation search with alert logic
- Configuring real-time alerting and notification
- Building a dashboard to monitor the use case
- Adding drill-down capabilities for investigation
- Testing the solution with sample attack data
- Optimizing performance and reducing false positives
- Documenting the detection logic and expected behavior
- Creating a board-ready proposal with metrics
- Estimating reduction in mean time to detect
- Projecting operational efficiency gains
- Identifying integration points with existing tools
- Securing stakeholder buy-in for deployment
- Presenting results to internal review teams
- Receiving expert feedback on your implementation
- Finalizing project documentation for certification
- Submitting your work for Certificate of Completion
- Configuring saved searches as alerts
- Setting trigger conditions: number of results, change in value
- Scheduling alert frequency and suppression rules
- Throttling alerts to prevent notification floods
- Dispatching actions based on alert severity
- Sending email notifications with custom templates
- Triggering scripts and automation runbooks
- Integrating with Slack and Microsoft Teams
- Using webhooks to connect to SOAR platforms
- Creating adaptive response actions with conditional logic
- Automating containment steps: IP blocking, account locking
- Logging alert execution history for audit compliance
- Using correlation search to deduplicate related alerts
- Assigning alerts to roles and individuals in Incident Review
- Setting SLA timers for incident resolution
- Documenting triage decisions within the interface
- Exporting incident reports for escalation
Module 6: Cybersecurity-Specific Use Cases - Monitoring Windows Event ID 4625 for account lockouts
- Detecting PowerShell obfuscation techniques
- Identifying suspicious WMI activity
- Tracking PsExec and remote command execution
- Analyzing DNS tunneling patterns
- Mapping beaconing behavior to C2 servers
- Correlating firewall denies with endpoint alerts
- Monitoring RDP and SSH login anomalies
- Detecting golden ticket and pass-the-hash attacks
- Validating Kerberos authentication integrity
- Tracking endpoint protection evasion attempts
- Using Sysmon logs for high-fidelity visibility
- Analyzing process creation events for suspicious parents
- Detecting living-off-the-land binaries (LOLBins)
- Monitoring scheduled task creation and modification
- Alerting on fileless malware indicators
- Correlating email gateway logs with user activity
- Building phishing detection workflows
- Tracking malicious URL clicks in proxy logs
- Creating role-based threat dashboards for analysts
Module 7: Operational Intelligence and IT Monitoring - Monitoring server uptime and availability
- Tracking application error logs and stack traces
- Identifying service degradation through log volume changes
- Correlating infrastructure events with performance metrics
- Using Splunk with AWS CloudWatch and Azure Monitor
- Monitoring Kubernetes and container logs
- Alerting on deployment failure patterns
- Tracking CI/CD pipeline logs for anomalies
- Detecting configuration drift across systems
- Validating patch compliance across endpoints
- Monitoring database query performance
- Identifying slow-running SQL statements
- Correlating web server logs with backend failures
- Tracking API error rates and latency spikes
- Measuring SLA adherence through log analysis
- Generating uptime reports for leadership
- Automating weekly operational summaries
- Creating executive dashboards for IT health
- Using tstats for pre-aggregated performance reporting
- Integrating with ServiceNow for ticket automation
Module 8: Visualization and Dashboard Design - Choosing the right visualization: line, bar, pie, gauge, single value
- Building dynamic dashboards with input filters
- Using time range pickers and dropdowns for interactivity
- Linking dashboards to drill-down into root cause
- Designing mobile-responsive layouts
- Applying consistent branding and color schemes
- Using panels to organize related metrics
- Embedding real-time searches in dashboards
- Setting refresh intervals for live monitoring
- Using jsontonormal to clean complex payloads
- Incorporating drilldown actions for investigation
- Building navigation menus for dashboard suites
- Restricting access with role-based views
- Exporting dashboards for presentations
- Using dashboard templates for consistency
- Documenting dashboard purpose and usage
- Validating dashboard performance under load
- Sharing dashboards securely across teams
Module 9: Security Frameworks and Compliance Integration - Aligning Splunk detections with MITRE ATT&CK
- Mapping searches to MITRE tactics and techniques
- Using the MITRE Navigator within Splunk
- Integrating with Splunk’s Security Posture Management
- Tracking detection coverage across the kill chain
- Reporting on detection maturity levels
- Using NIST SP 800-53 controls as detection targets
- Mapping log sources to compliance requirements
- Building audit-ready compliance dashboards
- Automating evidence collection for PCI DSS
- Supporting HIPAA audit logging requirements
- Meeting SOX controls with access log analysis
- Generating proof of log retention and access
- Creating compliance exception reports
- Using saved searches to fulfill auditor requests
- Documenting detection logic for review
- Version controlling critical security searches
- Implementing change management for Splunk configs
Module 10: Automation, Scripting, and Integration - Writing Python scripts for custom alert actions
- Using Splunk’s REST API for automation
- Authenticating with session tokens and API keys
- Querying saved searches programmatically
- Posting events to custom indices via API
- Integrating with Git for configuration versioning
- Exporting and importing apps with CLI tools
- Automating backup of Splunk configurations
- Scheduling bulk operations with cron
- Using the Splunk SDK for Python
- Building custom alert actions with scripts
- Writing scripts to parse alert payloads
- Integrating with Jira for ticket creation
- Triggering SOAR playbooks via webhook
- Using Phantom and Demisto with Splunk alerts
- Validating integration endpoints with curl
- Handling JSON payload structure in automation
- Logging script execution for audit purposes
- Implementing error handling and retry logic
- Testing integrations in staging environments
Module 11: Performance Tuning and Scalability - Assessing search performance with Job Inspector
- Identifying slow operations in complex pipelines
- Optimizing search time range settings
- Reducing data processing with indexed fields
- Using summary indexing to precompute results
- Scheduling tstats-based reports for efficiency
- Choosing appropriate time spans for caching
- Managing index size with smart retention policies
- Archiving cold data to object storage
- Tuning indexer clustering for high availability
- Configuring search affinity for performance
- Using search head clustering for load distribution
- Monitoring system health with monitoring console
- Viewing indexer performance metrics
- Identifying resource bottlenecks: CPU, memory, disk IO
- Scaling forwarder deployment with deployment server
- Managing configurations across thousands of agents
- Validating parsing load on search heads
- Using btool to debug configuration conflicts
- Planning capacity based on daily ingestion rates
Module 12: Advanced Threat Hunting and Proactive Defense - Defining hypotheses for threat hunting
- Using Splunk to validate suspected attack vectors
- Hunting for persistence mechanisms
- Identifying unauthorized scheduled tasks
- Searching for registry modifications
- Detecting backdoor accounts and hidden users
- Investigating anomalous process trees
- Using behavioral baselines to spot deviations
- Searching for known malicious indicators at scale
- Running retrospective analysis on historical data
- Using faster-than-real-time analysis for breach timelines
- Mapping attacker movements across systems
- Building attack storytelling dashboards
- Determining dwell time and scope of compromise
- Generating executive incident summaries
- Creating repeatable hunt playbooks
- Documenting findings with Splunk notes and annotations
- Sharing hunting results with stakeholders
- Converting successful hunts into production alerts
- Integrating threat hunting into weekly operations
Module 13: Certification Project and Real-World Implementation - Defining your organization’s priority use case
- Selecting a high-impact detection or monitoring objective
- Designing a data ingestion and parsing strategy
- Creating a normalized field set for consistency
- Writing a correlation search with alert logic
- Configuring real-time alerting and notification
- Building a dashboard to monitor the use case
- Adding drill-down capabilities for investigation
- Testing the solution with sample attack data
- Optimizing performance and reducing false positives
- Documenting the detection logic and expected behavior
- Creating a board-ready proposal with metrics
- Estimating reduction in mean time to detect
- Projecting operational efficiency gains
- Identifying integration points with existing tools
- Securing stakeholder buy-in for deployment
- Presenting results to internal review teams
- Receiving expert feedback on your implementation
- Finalizing project documentation for certification
- Submitting your work for Certificate of Completion
- Monitoring server uptime and availability
- Tracking application error logs and stack traces
- Identifying service degradation through log volume changes
- Correlating infrastructure events with performance metrics
- Using Splunk with AWS CloudWatch and Azure Monitor
- Monitoring Kubernetes and container logs
- Alerting on deployment failure patterns
- Tracking CI/CD pipeline logs for anomalies
- Detecting configuration drift across systems
- Validating patch compliance across endpoints
- Monitoring database query performance
- Identifying slow-running SQL statements
- Correlating web server logs with backend failures
- Tracking API error rates and latency spikes
- Measuring SLA adherence through log analysis
- Generating uptime reports for leadership
- Automating weekly operational summaries
- Creating executive dashboards for IT health
- Using tstats for pre-aggregated performance reporting
- Integrating with ServiceNow for ticket automation
Module 8: Visualization and Dashboard Design - Choosing the right visualization: line, bar, pie, gauge, single value
- Building dynamic dashboards with input filters
- Using time range pickers and dropdowns for interactivity
- Linking dashboards to drill-down into root cause
- Designing mobile-responsive layouts
- Applying consistent branding and color schemes
- Using panels to organize related metrics
- Embedding real-time searches in dashboards
- Setting refresh intervals for live monitoring
- Using jsontonormal to clean complex payloads
- Incorporating drilldown actions for investigation
- Building navigation menus for dashboard suites
- Restricting access with role-based views
- Exporting dashboards for presentations
- Using dashboard templates for consistency
- Documenting dashboard purpose and usage
- Validating dashboard performance under load
- Sharing dashboards securely across teams
Module 9: Security Frameworks and Compliance Integration - Aligning Splunk detections with MITRE ATT&CK
- Mapping searches to MITRE tactics and techniques
- Using the MITRE Navigator within Splunk
- Integrating with Splunk’s Security Posture Management
- Tracking detection coverage across the kill chain
- Reporting on detection maturity levels
- Using NIST SP 800-53 controls as detection targets
- Mapping log sources to compliance requirements
- Building audit-ready compliance dashboards
- Automating evidence collection for PCI DSS
- Supporting HIPAA audit logging requirements
- Meeting SOX controls with access log analysis
- Generating proof of log retention and access
- Creating compliance exception reports
- Using saved searches to fulfill auditor requests
- Documenting detection logic for review
- Version controlling critical security searches
- Implementing change management for Splunk configs
Module 10: Automation, Scripting, and Integration - Writing Python scripts for custom alert actions
- Using Splunk’s REST API for automation
- Authenticating with session tokens and API keys
- Querying saved searches programmatically
- Posting events to custom indices via API
- Integrating with Git for configuration versioning
- Exporting and importing apps with CLI tools
- Automating backup of Splunk configurations
- Scheduling bulk operations with cron
- Using the Splunk SDK for Python
- Building custom alert actions with scripts
- Writing scripts to parse alert payloads
- Integrating with Jira for ticket creation
- Triggering SOAR playbooks via webhook
- Using Phantom and Demisto with Splunk alerts
- Validating integration endpoints with curl
- Handling JSON payload structure in automation
- Logging script execution for audit purposes
- Implementing error handling and retry logic
- Testing integrations in staging environments
Module 11: Performance Tuning and Scalability - Assessing search performance with Job Inspector
- Identifying slow operations in complex pipelines
- Optimizing search time range settings
- Reducing data processing with indexed fields
- Using summary indexing to precompute results
- Scheduling tstats-based reports for efficiency
- Choosing appropriate time spans for caching
- Managing index size with smart retention policies
- Archiving cold data to object storage
- Tuning indexer clustering for high availability
- Configuring search affinity for performance
- Using search head clustering for load distribution
- Monitoring system health with monitoring console
- Viewing indexer performance metrics
- Identifying resource bottlenecks: CPU, memory, disk IO
- Scaling forwarder deployment with deployment server
- Managing configurations across thousands of agents
- Validating parsing load on search heads
- Using btool to debug configuration conflicts
- Planning capacity based on daily ingestion rates
Module 12: Advanced Threat Hunting and Proactive Defense - Defining hypotheses for threat hunting
- Using Splunk to validate suspected attack vectors
- Hunting for persistence mechanisms
- Identifying unauthorized scheduled tasks
- Searching for registry modifications
- Detecting backdoor accounts and hidden users
- Investigating anomalous process trees
- Using behavioral baselines to spot deviations
- Searching for known malicious indicators at scale
- Running retrospective analysis on historical data
- Using faster-than-real-time analysis for breach timelines
- Mapping attacker movements across systems
- Building attack storytelling dashboards
- Determining dwell time and scope of compromise
- Generating executive incident summaries
- Creating repeatable hunt playbooks
- Documenting findings with Splunk notes and annotations
- Sharing hunting results with stakeholders
- Converting successful hunts into production alerts
- Integrating threat hunting into weekly operations
Module 13: Certification Project and Real-World Implementation - Defining your organization’s priority use case
- Selecting a high-impact detection or monitoring objective
- Designing a data ingestion and parsing strategy
- Creating a normalized field set for consistency
- Writing a correlation search with alert logic
- Configuring real-time alerting and notification
- Building a dashboard to monitor the use case
- Adding drill-down capabilities for investigation
- Testing the solution with sample attack data
- Optimizing performance and reducing false positives
- Documenting the detection logic and expected behavior
- Creating a board-ready proposal with metrics
- Estimating reduction in mean time to detect
- Projecting operational efficiency gains
- Identifying integration points with existing tools
- Securing stakeholder buy-in for deployment
- Presenting results to internal review teams
- Receiving expert feedback on your implementation
- Finalizing project documentation for certification
- Submitting your work for Certificate of Completion
- Aligning Splunk detections with MITRE ATT&CK
- Mapping searches to MITRE tactics and techniques
- Using the MITRE Navigator within Splunk
- Integrating with Splunk’s Security Posture Management
- Tracking detection coverage across the kill chain
- Reporting on detection maturity levels
- Using NIST SP 800-53 controls as detection targets
- Mapping log sources to compliance requirements
- Building audit-ready compliance dashboards
- Automating evidence collection for PCI DSS
- Supporting HIPAA audit logging requirements
- Meeting SOX controls with access log analysis
- Generating proof of log retention and access
- Creating compliance exception reports
- Using saved searches to fulfill auditor requests
- Documenting detection logic for review
- Version controlling critical security searches
- Implementing change management for Splunk configs
Module 10: Automation, Scripting, and Integration - Writing Python scripts for custom alert actions
- Using Splunk’s REST API for automation
- Authenticating with session tokens and API keys
- Querying saved searches programmatically
- Posting events to custom indices via API
- Integrating with Git for configuration versioning
- Exporting and importing apps with CLI tools
- Automating backup of Splunk configurations
- Scheduling bulk operations with cron
- Using the Splunk SDK for Python
- Building custom alert actions with scripts
- Writing scripts to parse alert payloads
- Integrating with Jira for ticket creation
- Triggering SOAR playbooks via webhook
- Using Phantom and Demisto with Splunk alerts
- Validating integration endpoints with curl
- Handling JSON payload structure in automation
- Logging script execution for audit purposes
- Implementing error handling and retry logic
- Testing integrations in staging environments
Module 11: Performance Tuning and Scalability - Assessing search performance with Job Inspector
- Identifying slow operations in complex pipelines
- Optimizing search time range settings
- Reducing data processing with indexed fields
- Using summary indexing to precompute results
- Scheduling tstats-based reports for efficiency
- Choosing appropriate time spans for caching
- Managing index size with smart retention policies
- Archiving cold data to object storage
- Tuning indexer clustering for high availability
- Configuring search affinity for performance
- Using search head clustering for load distribution
- Monitoring system health with monitoring console
- Viewing indexer performance metrics
- Identifying resource bottlenecks: CPU, memory, disk IO
- Scaling forwarder deployment with deployment server
- Managing configurations across thousands of agents
- Validating parsing load on search heads
- Using btool to debug configuration conflicts
- Planning capacity based on daily ingestion rates
Module 12: Advanced Threat Hunting and Proactive Defense - Defining hypotheses for threat hunting
- Using Splunk to validate suspected attack vectors
- Hunting for persistence mechanisms
- Identifying unauthorized scheduled tasks
- Searching for registry modifications
- Detecting backdoor accounts and hidden users
- Investigating anomalous process trees
- Using behavioral baselines to spot deviations
- Searching for known malicious indicators at scale
- Running retrospective analysis on historical data
- Using faster-than-real-time analysis for breach timelines
- Mapping attacker movements across systems
- Building attack storytelling dashboards
- Determining dwell time and scope of compromise
- Generating executive incident summaries
- Creating repeatable hunt playbooks
- Documenting findings with Splunk notes and annotations
- Sharing hunting results with stakeholders
- Converting successful hunts into production alerts
- Integrating threat hunting into weekly operations
Module 13: Certification Project and Real-World Implementation - Defining your organization’s priority use case
- Selecting a high-impact detection or monitoring objective
- Designing a data ingestion and parsing strategy
- Creating a normalized field set for consistency
- Writing a correlation search with alert logic
- Configuring real-time alerting and notification
- Building a dashboard to monitor the use case
- Adding drill-down capabilities for investigation
- Testing the solution with sample attack data
- Optimizing performance and reducing false positives
- Documenting the detection logic and expected behavior
- Creating a board-ready proposal with metrics
- Estimating reduction in mean time to detect
- Projecting operational efficiency gains
- Identifying integration points with existing tools
- Securing stakeholder buy-in for deployment
- Presenting results to internal review teams
- Receiving expert feedback on your implementation
- Finalizing project documentation for certification
- Submitting your work for Certificate of Completion
- Assessing search performance with Job Inspector
- Identifying slow operations in complex pipelines
- Optimizing search time range settings
- Reducing data processing with indexed fields
- Using summary indexing to precompute results
- Scheduling tstats-based reports for efficiency
- Choosing appropriate time spans for caching
- Managing index size with smart retention policies
- Archiving cold data to object storage
- Tuning indexer clustering for high availability
- Configuring search affinity for performance
- Using search head clustering for load distribution
- Monitoring system health with monitoring console
- Viewing indexer performance metrics
- Identifying resource bottlenecks: CPU, memory, disk IO
- Scaling forwarder deployment with deployment server
- Managing configurations across thousands of agents
- Validating parsing load on search heads
- Using btool to debug configuration conflicts
- Planning capacity based on daily ingestion rates
Module 12: Advanced Threat Hunting and Proactive Defense - Defining hypotheses for threat hunting
- Using Splunk to validate suspected attack vectors
- Hunting for persistence mechanisms
- Identifying unauthorized scheduled tasks
- Searching for registry modifications
- Detecting backdoor accounts and hidden users
- Investigating anomalous process trees
- Using behavioral baselines to spot deviations
- Searching for known malicious indicators at scale
- Running retrospective analysis on historical data
- Using faster-than-real-time analysis for breach timelines
- Mapping attacker movements across systems
- Building attack storytelling dashboards
- Determining dwell time and scope of compromise
- Generating executive incident summaries
- Creating repeatable hunt playbooks
- Documenting findings with Splunk notes and annotations
- Sharing hunting results with stakeholders
- Converting successful hunts into production alerts
- Integrating threat hunting into weekly operations
Module 13: Certification Project and Real-World Implementation - Defining your organization’s priority use case
- Selecting a high-impact detection or monitoring objective
- Designing a data ingestion and parsing strategy
- Creating a normalized field set for consistency
- Writing a correlation search with alert logic
- Configuring real-time alerting and notification
- Building a dashboard to monitor the use case
- Adding drill-down capabilities for investigation
- Testing the solution with sample attack data
- Optimizing performance and reducing false positives
- Documenting the detection logic and expected behavior
- Creating a board-ready proposal with metrics
- Estimating reduction in mean time to detect
- Projecting operational efficiency gains
- Identifying integration points with existing tools
- Securing stakeholder buy-in for deployment
- Presenting results to internal review teams
- Receiving expert feedback on your implementation
- Finalizing project documentation for certification
- Submitting your work for Certificate of Completion
- Defining your organization’s priority use case
- Selecting a high-impact detection or monitoring objective
- Designing a data ingestion and parsing strategy
- Creating a normalized field set for consistency
- Writing a correlation search with alert logic
- Configuring real-time alerting and notification
- Building a dashboard to monitor the use case
- Adding drill-down capabilities for investigation
- Testing the solution with sample attack data
- Optimizing performance and reducing false positives
- Documenting the detection logic and expected behavior
- Creating a board-ready proposal with metrics
- Estimating reduction in mean time to detect
- Projecting operational efficiency gains
- Identifying integration points with existing tools
- Securing stakeholder buy-in for deployment
- Presenting results to internal review teams
- Receiving expert feedback on your implementation
- Finalizing project documentation for certification
- Submitting your work for Certificate of Completion