A tailored course, built for your situation
Advanced OT/IACS and AI Cyber Security Architecture
A 12-module implementation-grade course for technology leaders shaping secure, intelligent critical infrastructure
The situation this course is for
As AI integration accelerates in industrial systems, security frameworks struggle to keep pace. Legacy models fail to address the full attack surface, leaving critical infrastructure exposed to novel threats. Architects need updated, field-tested methods to design systems that are resilient, compliant, and adaptable by design.
Who this is for
Business and technology professionals leading or contributing to OT/IACS security architecture, particularly in regulated or critical infrastructure environments with growing AI integration
Who this is not for
Entry-level technicians, non-technical executives, or individuals seeking certification prep without implementation focus
What you walk away with
- Apply AI-augmented threat modeling to OT/IACS environments
- Design layered security architectures compliant with evolving NIST and ISA/IEC standards
- Implement adaptive monitoring and response frameworks for hybrid control systems
- Lead cross-functional teams using proven architecture governance patterns
- Deliver audit-ready documentation and risk posture assessments
The 12 modules (with all 144 chapters)
- Defining OT vs traditional IT environments
- Key IACS protocols and their security implications
- Common industrial topologies and data flows
- Asset identification and inventory management
- Lifecycle stages of OT systems
- Regulatory landscape overview
- Threat actors in industrial contexts
- Legacy system integration challenges
- Network segmentation fundamentals
- Access control models for OT
- Physical-to-digital interface risks
- Architecture documentation standards
- Types of AI used in OT environments
- Data requirements for AI-driven anomaly detection
- Model training on operational data
- Explainability and auditability of AI decisions
- Fail-safe mechanisms for AI-controlled processes
- Human-in-the-loop design patterns
- Bias detection in industrial AI models
- Edge computing for real-time inference
- Model update and versioning controls
- Supply chain risks in third-party AI tools
- Performance benchmarking for AI systems
- Integration testing with control logic
- Mapping known attack patterns to OT assets
- Tactics for initial access in IACS networks
- Privilege escalation paths in control systems
- Persistence mechanisms in embedded devices
- Lateral movement across OT zones
- Collection strategies for industrial data
- Command and control in low-bandwidth environments
- Impact scenarios and disruption modeling
- Threat intelligence integration
- Red teaming industrial architectures
- Purple team exercises for OT/IACS
- Architecture resilience scoring
- Demilitarized zone (DMZ) configurations
- Unidirectional gateways and data diodes
- Jump host and bastion host implementation
- Role-based access control for OT
- Attribute-based access considerations
- Zero trust principles in IACS
- Secure remote access patterns
- Wireless network security in plants
- Physical security integration
- Secure firmware update workflows
- Configuration management for controllers
- Architecture pattern selection matrix
- NIST SP 800-82 revision highlights
- ISA/IEC 62443 conformance levels
- Mapping controls to asset criticality
- Audit preparation and documentation
- Gap assessment methodologies
- Third-party assurance requirements
- Supply chain risk management
- Vendor security evaluation
- Policy alignment across IT/OT
- Board-level reporting on cyber posture
- Insurance and liability considerations
- Global regulatory variations
- Log collection from proprietary systems
- Network traffic analysis for ICS protocols
- Baseline establishment for normal behavior
- Anomaly detection thresholds
- SIEM integration with OT data
- SOAR playbooks for industrial incidents
- Incident classification and escalation
- Forensic readiness in control systems
- Preservation of operational continuity
- Cross-team coordination during response
- Post-incident architecture review
- Lessons learned integration
- Business impact analysis for IACS
- Recovery time and point objectives
- Backup strategies for embedded systems
- Failover and redundancy patterns
- Manual override procedures
- Crisis management team integration
- Simulation and tabletop exercise design
- Recovery validation testing
- Escalation path documentation
- Third-party support coordination
- Crisis communication templates
- Post-event architecture review
- Threat modeling during design phase
- Secure coding for PLC logic
- HMI security considerations
- Configuration hardening baselines
- Penetration testing constraints
- Vulnerability management in OT
- Patch management challenges
- End-of-life planning for industrial systems
- Change control processes
- Staging environment requirements
- Rollback procedures
- Vendor coordination workflows
- Supervised learning for known threats
- Unsupervised learning for anomaly detection
- Natural language processing for log analysis
- Predictive analytics for incident likelihood
- Automated response orchestration
- Model drift detection and retraining
- Explainability reporting for auditors
- Human oversight mechanisms
- False positive reduction techniques
- Performance monitoring of AI systems
- Ethical considerations in AI security
- AI model validation frameworks
- Stakeholder identification and mapping
- Governance committee structures
- Decision rights for shared systems
- Conflict resolution frameworks
- Budget ownership models
- Performance metric alignment
- Change coordination protocols
- Knowledge sharing mechanisms
- Vendor management integration
- Risk appetite articulation
- Architecture review boards
- Cross-functional team charters
- Quantum computing implications
- Post-quantum cryptography migration
- Autonomous system security
- Digital twin vulnerabilities
- Extended reality interface risks
- Supply chain integrity monitoring
- Climate resilience in OT design
- Workforce transformation impacts
- Regulatory foresight methods
- Technology horizon scanning
- Architecture adaptability metrics
- Scalability planning for growth
- Assessment of current state maturity
- Roadmap development for improvements
- Prioritization based on risk and impact
- Stakeholder alignment strategies
- Resource planning and budgeting
- Vendor selection criteria
- Pilot project design
- Performance measurement setup
- Scaling successful pilots
- Continuous improvement cycles
- Architecture evolution tracking
- Final review and validation
How this maps to your situation
- Designing secure OT/IACS environments with AI integration
- Leading compliance and governance initiatives
- Responding to evolving threat landscapes
- Future-proofing critical infrastructure architecture
Before vs. after
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 45, 60 hours of self-paced learning, designed for professionals balancing full-time responsibilities
How this compares to the alternatives
Unlike generic cybersecurity certifications or vendor-specific training, this course delivers implementation-grade knowledge tailored to the intersection of OT, IACS, and AI systems, with practical tools and real-world application focus
Frequently asked
Within 24 hours your account in the learning environment is provisioned and the tailored implementation playbook is delivered alongside it.