A tailored course, built for your situation
Advanced Threat Detection and Response Engineering
A 12-module implementation-grade course for security analysts advancing beyond SOC fundamentals
$199 one-time
24-hour access provisioning
30-day money-back guarantee
Hand-built implementation playbook
12 modules. 12 chapters per module. 144 chapters total.
12 modules, each with 12 chapters (144 chapters total), text-based, plus downloadable templates and a hand-built implementation playbook delivered alongside course access.
Stuck in reactive alert triage while the industry shifts toward predictive detection engineering?
The situation this course is for
Many skilled SOC analysts are ready for more strategic roles, but lack access to structured, implementation-ready knowledge on building detection logic, tuning analytics, and automating response workflows at scale. The gap isn't effort, it's access to production-grade frameworks.
Who this is for
Security professionals with 2, 5 years in SOC or security operations roles, ready to transition from alert handling to detection engineering and defensive automation design
Who this is not for
Entry-level analysts seeking certification prep or individuals outside technical security operations looking for executive overviews
What you walk away with
- Design and deploy detection rules using MITRE ATT&CK, aligned logic
- Tune SIEM analytics to reduce false positives by 40, 60%
- Automate initial incident response workflows using playbooks and SOAR principles
- Build repeatable threat-hunting processes based on adversary behavior patterns
- Communicate technical detection decisions to non-technical stakeholders
The 12 modules (with all 144 chapters)
Module 1. Foundations of Proactive Threat Detection
Establishing the shift from reactive monitoring to proactive detection design
12 chapters in this module
- The evolution of SOC roles in modern security
- From alert triage to detection engineering
- Core principles of threat-informed defense
- Mapping detection goals to business risk
- Defining detection requirements
- Using ATT&CK as a design framework
- Baseline vs. advanced detection
- Detection maturity models
- Common pitfalls in early-stage detection
- Aligning detection with compliance needs
- Documenting detection logic
- Building a detection catalog
Module 2. Threat Intelligence Integration
Leveraging intelligence to inform detection logic and improve coverage
12 chapters in this module
- Types of threat intelligence: strategic, tactical, operational
- Integrating TTPs into detection design
- Evaluating intelligence source reliability
- Automated ingestion of threat feeds
- Mapping IOCs to detection rules
- Using threat actor profiles for detection
- Customizing intelligence for internal context
- Avoiding intelligence overload
- Validating intelligence relevance
- Updating detection based on new intel
- Sharing intelligence across teams
- Attribution vs. behavior focus
Module 3. Detection Rule Design Principles
Building effective, maintainable detection rules using structured logic
12 chapters in this module
- Writing detection logic that scales
- Balancing precision and recall
- Using sigma rules and YARA patterns
- Creating rules from adversary behavior
- Avoiding alert fatigue through tuning
- Rule validation techniques
- Version control for detection rules
- Testing detection logic in staging
- False positive root cause analysis
- Rule documentation standards
- Performance impact of detection rules
- Rule lifecycle management
Module 4. SIEM Analytics Optimization
Tuning correlation rules and analytics engines for maximum efficiency
12 chapters in this module
- Understanding SIEM correlation engines
- Baseline event noise analysis
- Tuning thresholds for behavioral analytics
- Reducing noise without losing coverage
- Creating dynamic baselines
- Using statistical models for anomaly detection
- Validating analytics accuracy
- Performance trade-offs in analytics
- Cross-log source validation
- Measuring detection effectiveness
- Automated tuning workflows
- Feedback loops for analytics improvement
Module 5. SOAR and Response Automation
Designing automated workflows to accelerate incident response
12 chapters in this module
- Principles of security orchestration
- Identifying automation candidates
- Building response playbooks
- Integrating tools via APIs
- Automated enrichment workflows
- Containment decision logic
- Human-in-the-loop automation
- Testing automation safely
- Error handling in workflows
- Scaling automation across use cases
- Monitoring automation performance
- Governance of automated response
Module 6. Threat Hunting Methodologies
Systematic approaches to proactive threat discovery
12 chapters in this module
- From reactive to proactive security
- Hypothesis-driven hunting
- Using ATT&CK for hunting scope
- Developing hunting hypotheses
- Data sources for hunting
- Query design for discovery
- Hunting with logs and EDR
- Automating hunting workflows
- Validating findings
- Documenting hunting results
- Sharing insights across teams
- Building a hunting program
Module 7. Endpoint Detection and Response (EDR)
Leveraging EDR data for advanced detection and investigation
12 chapters in this module
- EDR telemetry fundamentals
- Interpreting process trees
- Detecting suspicious behavior in EDR
- Using EDR for lateral movement detection
- EDR query construction
- Hunting with EDR data
- Integrating EDR with SIEM
- Automated response via EDR
- EDR performance considerations
- Tuning EDR alerts
- EDR data retention strategies
- Vendor-specific EDR nuances
Module 8. Cloud Security Monitoring
Extending detection into cloud-native environments
12 chapters in this module
- Cloud logging fundamentals
- Detecting misconfigurations in cloud
- Monitoring identity in cloud environments
- Detecting cloud-specific attack patterns
- Integrating CSPM with detection
- Cloud trail analysis
- Detecting persistence in cloud
- Serverless threat detection
- Multi-cloud detection design
- Cloud compliance monitoring
- Automated cloud response
- Cloud-to-on-prem correlation
Module 9. Identity and Access Monitoring
Detecting abuse in identity systems and access workflows
12 chapters in this module
- Identity as the new perimeter
- Detecting brute force attacks
- Monitoring privileged access
- Detecting pass-the-hash and golden ticket
- Analyzing authentication logs
- Detecting account takeover
- Anomalous login behavior detection
- Monitoring service accounts
- Detecting lateral movement via identity
- Integrating PAM with detection
- Identity anomaly baselines
- Reporting on identity risk
Module 10. Detection Validation and Testing
Ensuring detection rules work as intended
12 chapters in this module
- Why detection testing matters
- Using MITRE D3FEND framework
- Designing detection tests
- Simulating adversary behavior
- Safe testing in production
- Automated detection validation
- Measuring detection coverage
- Gaps in ATT&CK coverage
- Red team vs. detection alignment
- Continuous validation workflows
- Reporting test results
- Improving detection over time
Module 11. Cross-System Correlation
Connecting signals across tools and domains for better context
12 chapters in this module
- The challenge of siloed tools
- Event correlation principles
- Building composite alerts
- Using time and entity correlation
- Lateral movement detection across domains
- Correlating cloud and on-prem events
- User behavior across systems
- Entity resolution in detection
- Automated context enrichment
- Reducing investigation time
- Visualization for correlation
- Maintaining correlation logic
Module 12. Leading Detection Programs
Transitioning from individual contributor to detection leader
12 chapters in this module
- Mentoring junior analysts
- Documenting detection standards
- Building detection playbooks
- Measuring program success
- Communicating with leadership
- Prioritizing detection work
- Managing detection backlogs
- Cross-team collaboration
- Creating feedback loops
- Staying current with threat trends
- Career paths in detection engineering
- Building a detection culture
How this maps to your situation
- Scaling beyond SOC tier-1 tasks
- Designing detection logic that prevents escalation
- Reducing investigation time with automation
- Positioning for defensive leadership roles
Before vs. after
Before
Reliant on predefined alerts and reactive triage, with limited influence on detection design or automation
After
Confidently designing detection logic, automating response workflows, and leading improvements in security operations
What's included with your purchase
- 12 modules with 12 chapters each (144 chapters)
- Downloadable templates and worked examples for every module
- Hand-built implementation playbook delivered alongside course access
- 30-day money-back guarantee
Delivery and format
- Course and learning environment access provisioned within 24 hours of purchase
- Hand-built implementation playbook delivered alongside course access
Format: Text-based modules and chapters in the Art of Service learning environment, plus downloadable templates and worked examples for every chapter, plus the hand-built implementation playbook delivered alongside course access.
Time investment: Approximately 3, 4 hours per module, recommended over 8, 12 weeks with applied exercises
If nothing changes
Continuing to focus only on alert handling risks being bypassed as organizations invest in automated detection and response engineering roles
How this compares to the alternatives
Unlike certification prep or vendor-specific training, this course focuses on implementation-grade detection design that works across tools and environments, with templates and playbook guidance not found in off-the-shelf content
Frequently asked
Is this course specific to a particular SIEM or SOAR tool?
No. The course teaches implementation principles that apply across platforms, with examples generalized for broad applicability.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Will I receive hands-on labs or access to a platform?
The course is text-based with downloadable templates and examples. No lab environment is provided, but implementation guidance is included.
$199 one-time. Approximately 3, 4 hours per module, recommended over 8, 12 weeks with applied exercises.
Within 24 hours your account in the learning environment is provisioned and the tailored implementation playbook is delivered alongside it.
30-day money-back guarantee·
144 chapters·
Hand-built playbook included·
Account access within 24 hours