A tailored course, built for your situation
Repeatable detection frameworks that compound across threat campaigns
Build a self-reinforcing library of detection logic that gains value with each deployment
$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.
Who this is for
Threat Detection Engineer working in government-contracting cybersecurity environments who delivers repeatable detection rules and leads incident validation workflows
Who this is not for
Individuals looking for introductory SOC training or generic compliance overviews
What you walk away with
- Design detection logic as reusable modules, not one-off scripts
- Structure correlation rules so they’re adaptable across threat types
- Maintain a personal library of validated detection patterns with clear versioning
- Reduce mean time to deploy new detections by leveraging existing logic
- Position yourself as the source of truth for detection engineering across engagements
The 12 modules (with all 144 chapters)
Module 1. Foundations of compounding detection design
Establish the core principles of building detection logic that retains and increases value across multiple deployments.
12 chapters in this module
- Defining compounding assets in detection engineering
- From single-use rules to reusable logic blocks
- The lifecycle of a detection pattern
- Versioning detection logic effectively
- Identifying reusability in Sigma rules
- Mapping TTPs to modular logic
- Documenting assumptions for reuse
- Naming conventions that scale
- Tagging for cross-campaign retrieval
- Storing logic in shared repositories
- Measuring reuse frequency
- Tracking detection lineage
Module 2. Modular detection rule architecture
Learn how to break down detection logic into independent, composable units that can be reassembled for different threats.
12 chapters in this module
- Atomic rule components explained
- Creating interchangeable condition blocks
- Parameterizing thresholds and values
- Designing for environment variability
- Standardizing data source references
- Building rule templates in YAML
- Configurable alert severity levels
- Reusable suppression logic
- Cross-platform compatibility checks
- Validating modular integrity
- Testing rule permutations
- Assembly workflows for new campaigns
Module 3. Correlation logic as compoundable assets
Turn multi-stage attack patterns into structured correlation frameworks that evolve with your experience.
12 chapters in this module
- Identifying correlation candidates
- Sequencing detection events
- Setting time-bound triggers
- Adapting logic for lateral movement
- Reusing beaconing patterns
- Template-based chain mapping
- Scoring detection confidence
- Weighting behavioral indicators
- Automating escalation thresholds
- Cross-referencing MITRE techniques
- Updating logic based on false positives
- Versioning correlation matrices
Module 4. Version control for detection libraries
Apply software engineering practices to detection logic to ensure consistency, traceability, and reuse.
12 chapters in this module
- Initializing a detection repository
- Branching strategies for testing
- Commit messages that document intent
- Pull request review workflows
- Automated syntax validation
- Integration with SIEM pipelines
- Rollback procedures for detection failures
- Tagging stable versions
- Documenting changes in release notes
- Sharing libraries across teams
- Access control for rule sets
- Auditing rule modifications
Module 5. Template-driven validation workflows
Develop standardized validation processes that ensure detection quality while reducing effort over time.
12 chapters in this module
- Creating validation runbooks
- Using test datasets effectively
- Automated result verification
- Baseline comparison methods
- False positive triage protocols
- Peer review checklists
- Reproducing adversary behavior
- Validating detection timing
- Benchmarking detection speed
- Documenting validation outcomes
- Template updates based on findings
- Scaling validation across teams
Module 6. Personal detection IP library development
Curate and maintain your own growing repository of detection assets that compound in value with each project.
12 chapters in this module
- Setting up a personal rule vault
- Categorizing detection types
- Indexing by MITRE tactic
- Adding contextual documentation
- Cross-linking related rules
- Rating rule effectiveness
- Updating rules based on feedback
- Exporting rule subsets
- Sharing selectively with peers
- Protecting proprietary logic
- Integrating with internal wikis
- Measuring library growth
Module 7. Accelerating detection deployment
Leverage existing logic to reduce time-to-deploy for new threat campaigns without sacrificing accuracy.
12 chapters in this module
- Rapid assessment of new threats
- Matching threats to existing rules
- Adapting logic for new environments
- Adjusting thresholds for noise
- Testing modified rules quickly
- Prioritizing deployment candidates
- Minimizing configuration drift
- Using rule inheritance
- Creating deployment checklists
- Automating rule rollout
- Monitoring initial performance
- Capturing lessons for reuse
Module 8. Cross-campaign detection optimization
Improve detection efficacy by learning from patterns across multiple engagements and adversary types.
12 chapters in this module
- Aggregating detection performance
- Identifying common failure points
- Refactoring overlapping logic
- Consolidating redundant rules
- Standardizing alert formats
- Improving detection precision
- Reducing false positive rates
- Benchmarking across sectors
- Learning from peer deployments
- Updating libraries based on trends
- Creating best-practice rule sets
- Sharing improvements internally
Module 9. Documentation for long-term reuse
Write documentation that ensures your detection logic remains useful and understandable months or years later.
12 chapters in this module
- Writing clear rule descriptions
- Documenting detection intent
- Including example scenarios
- Referencing threat intelligence
- Adding operational context
- Using consistent terminology
- Creating visual logic flows
- Linking to MITRE mappings
- Maintaining changelogs
- Adding usage notes
- Updating docs with new data
- Archiving deprecated rules
Module 10. Integration with threat intelligence
Align detection logic with evolving threat intelligence to maintain relevance and effectiveness.
12 chapters in this module
- Mapping IOCs to detection rules
- Updating rules for new TTPs
- Automating intel ingestion
- Validating detection against intel
- Tracking adversary evolution
- Adapting to novel techniques
- Using CTI for rule tuning
- Integrating with TI platforms
- Subscribing to feeds
- Filtering relevant intelligence
- Scoring TI source reliability
- Timeboxing rule updates
Module 11. Collaborative rule development
Work effectively with peers to build, review, and share detection logic that compounds for everyone.
12 chapters in this module
- Setting team naming standards
- Establishing review workflows
- Conducting peer validation
- Merging contributions
- Resolving conflicts
- Sharing rule templates
- Creating team libraries
- Running detection workshops
- Onboarding new team members
- Recognizing contributor impact
- Measuring team reuse rates
- Celebrating compound gains
Module 12. Measuring compounding returns
Track how your detection library grows in value and efficiency over time.
12 chapters in this module
- Defining reuse metrics
- Tracking deployment frequency
- Calculating time saved
- Measuring accuracy improvements
- Assessing cross-team adoption
- Benchmarking against baselines
- Reporting compound gains
- Visualizing library growth
- Updating goals based on data
- Identifying stagnation points
- Planning future enhancements
- Scaling personal IP impact
How this maps to your situation
- When starting a new threat campaign
- After validating a detection rule
- Before onboarding a new team member
- During quarterly detection review
Before vs. after
Before
Building detection rules as one-off solutions that don't transfer between engagements.
After
Deploying from a growing library of validated, reusable detection logic that compounds in value with every campaign.
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, designed to be completed incrementally alongside active engagements.
How this compares to the alternatives
Unlike generic cybersecurity courses that focus on compliance or awareness, this course is built for engineers who ship detection logic and want to see their work compound in value across campaigns.
Frequently asked
Who is this course for?
Threat detection engineers who design, deploy, and validate detection rules in enterprise or government environments.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Will this help me automate more of my work?
Yes, by structuring detection logic for reuse, you’ll reduce repetitive tasks and accelerate future deployments.
$199 one-time. Approximately 3-4 hours per module, designed to be completed incrementally alongside active engagements..
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