Certified Agentic AI Wargaming Professional (CAAIWP) Certification Program by Tonex
The Certified Agentic Artificial Intelligence Wargaming Professional (CAAIWP) Certification Program by Tonex prepares professionals to design, conduct, assess, and govern wargaming activities enhanced by autonomous and semi-autonomous Artificial Intelligence (AI) agents. Participants examine agentic AI concepts, decision-support architectures, adversarial reasoning, scenario development, campaign analysis, human oversight, evaluation methods, and responsible employment in defense, security, and strategic planning environments. The program uses a practical training approach that includes exercises, real-world case studies, and examples of processes and documentation used in agentic AI wargaming projects.
Participants learn how intelligent agents can represent friendly, adversarial, neutral, and environmental actors while supporting structured exploration of complex operational decisions. Cybersecurity is essential because agentic AI environments can introduce risks involving compromised data, manipulated agent behavior, unauthorized access, adversarial inputs, and insecure integrations. Effective cybersecurity controls help preserve data integrity, protect decision processes, reduce exploitation opportunities, and maintain confidence in wargaming outcomes. The program emphasizes secure, accountable, explainable, and human-governed use of agentic AI throughout the wargaming lifecycle.
Learning Objectives
Upon successful completion of this certification program, participants will be able to:
- Explain agentic Artificial Intelligence concepts and their application to professional wargaming environments.
- Design structured wargaming scenarios using autonomous and semi-autonomous intelligent agents.
- Develop agent roles, objectives, constraints, behaviors, and decision-making structures.
- Apply adversarial reasoning techniques to analyze competing strategies and operational choices.
- Evaluate agent performance, decision quality, uncertainty, bias, and wargaming outcomes.
- Apply cybersecurity controls that protect agentic AI wargaming data, interfaces, models, and decision processes.
- Establish governance, human oversight, documentation, and responsible-use practices for agentic AI wargaming.
Audience
This certification program is designed for:
- Defense and Military Professionals
- Wargaming Analysts and Designers
- Artificial Intelligence Professionals
- Operational Research Analysts
- Strategic Planning Professionals
- Mission and Campaign Analysts
- Systems Engineers and Architects
- Data Scientists and Analytics Professionals
- Cybersecurity Professionals
- Red Team and Threat Analysis Professionals
- Government and National Security Professionals
- Program Managers and Technical Leaders
Program Modules
Module 1: Agentic Artificial Intelligence Wargaming Foundations
- Agentic Artificial Intelligence principles and terminology
- Traditional versus agent-enabled wargaming approaches
- Autonomous and semi-autonomous agent characteristics
- Agent roles within structured wargaming environments
- Human-agent interaction and decision responsibilities
- Wargaming objectives, assumptions, and analytical boundaries
- Agentic Artificial Intelligence wargaming lifecycle
Module 2: Wargame Scenario Design and Development
- Strategic and operational scenario development
- Wargaming objectives and research questions
- Actor identification and stakeholder representation
- Environmental conditions and operational constraints
- Scenario assumptions and boundary conditions
- Event sequencing and decision-point development
- Scenario documentation and review processes
Module 3: Intelligent Agent Behavior and Decisions
- Agent goals, incentives, and priorities
- Decision rules and behavioral constraints
- Friendly and adversarial agent representation
- Multi-agent interaction and competitive behavior
- Adaptive decision-making under uncertainty
- Agent coordination and information-sharing approaches
- Human oversight of autonomous decisions
Module 4: Adversarial Wargaming Strategy and Analysis
- Adversarial reasoning and competing objectives
- Red team and blue team perspectives
- Opponent modeling and behavioral interpretation
- Courses of action development and comparison
- Strategic deception and information uncertainty
- Escalation pathways and consequence assessment
- Decision advantage and operational insight development
Module 5: Wargame Evaluation Metrics and Assurance
- Agent performance measurement and evaluation
- Wargaming effectiveness and outcome criteria
- Decision quality and confidence assessment
- Bias, uncertainty, and analytical limitations
- Comparative analysis across alternative strategies
- Evidence collection and results documentation
- Findings interpretation and assurance reporting
Module 6: Secure Governance and Responsible Wargaming
- Agentic Artificial Intelligence governance principles
- Cybersecurity controls for wargaming environments
- Data integrity and access management
- Adversarial Artificial Intelligence risk considerations
- Human accountability and authorization boundaries
- Responsible use and ethical decision practices
- Governance records and compliance documentation
Exam Domains
- Autonomous Agent Concepts and Operational Applications
- Scenario Engineering and Analytical Frameworks
- Behavioral Modeling and Decision Architecture
- Competitive Strategy and Adversarial Reasoning
- Evaluation, Validation, and Decision Assurance
- Security, Governance, and Responsible Artificial Intelligence
Course Delivery
The course is delivered through a combination of expert-led lectures, interactive discussions, hands-on workshops, structured exercises, real-world case studies, and project-based learning facilitated by professionals experienced in Artificial Intelligence, wargaming, defense analysis, cybersecurity, and strategic decision support.
Participants will have access to supporting readings, case materials, analytical frameworks, planning resources, and tools for practical exercises. The program follows a practical training approach that includes exercises, real-world case studies, and examples of processes and documentation used in agentic Artificial Intelligence wargaming projects. Activities emphasize scenario development, agent behavior definition, adversarial reasoning, evaluation planning, governance, cybersecurity, and professional documentation.
Assessment and Certification
Participants will be assessed through quizzes, assignments, scenario-based exercises, analytical activities, and a capstone project covering major concepts and professional practices presented throughout the program.
Assessment activities evaluate participants’ ability to develop agentic Artificial Intelligence wargaming concepts, structure realistic scenarios, define agent behaviors, analyze competing strategies, evaluate outcomes, address cybersecurity risks, and establish appropriate governance and human oversight.
Upon successful completion of the program requirements and certification examination, participants will receive the Certified Agentic Artificial Intelligence Wargaming Professional (CAAIWP) certification.
Question Types
- Multiple Choice Questions
- Scenario-Based Questions
Passing Criteria
To pass the Certified Agentic Artificial Intelligence Wargaming Professional (CAAIWP) Certification Training exam, candidates must achieve a score of 70% or higher.
Take the Next Step
Advance your expertise at the intersection of autonomous Artificial Intelligence, strategic analysis, cybersecurity, and professional wargaming with the Certified Agentic Artificial Intelligence Wargaming Professional (CAAIWP) Certification Program by Tonex. Build the knowledge needed to design, assess, secure, and govern agent-enabled wargaming environments that support informed decisions in complex operational and strategic settings.