Zero Trust and AI for Infrastructure Management and Support in DoD Workshop by Tonex
This two-day workshop provides an immersive exploration into the intersection of Zero Trust principles and Artificial Intelligence (AI) applications for managing and supporting critical infrastructure in the Department of Defense (DoD).
Participants will gain a comprehensive understanding of Zero Trust frameworks, learn how AI can enhance infrastructure resilience, and develop actionable strategies to strengthen cybersecurity and operational effectiveness in defense environments.
The course combines theory, practical examples, and group-based practical exercises to equip participants with the tools and skills necessary for implementing these technologies effectively.
Learning Objectives
By the end of the workshop, participants will be able to:
- Explain the core principles of Zero Trust and its relevance to DoD infrastructure.
- Assess how AI technologies enhance monitoring, threat detection, and response in Zero Trust architectures.
- Design Zero Trust strategies tailored to the unique requirements of DoD environments.
- Implement AI-driven tools for optimizing infrastructure management and operational support.
- Develop and execute policies and workflows to improve resilience, scalability, and security in defense operations.
Intended Audience
This workshop is designed for professionals working in or supporting DoD operations, including:
- IT and cybersecurity managers
- Infrastructure architects
- System administrators and engineers
- AI and data science practitioners
- Policy advisors and strategists
- Military personnel overseeing operational technology
Course Modules:
Day 1: Foundations and Zero Trust Frameworks
Module 1: Introduction to Zero Trust in the DoD Context
- Overview of Zero Trust principles and concepts
- Current challenges in DoD infrastructure and security
- Policy mandates and compliance requirements
Module 2: Zero Trust Frameworks for Defense
- Implementing least privilege access
- Microsegmentation and network monitoring
- Case studies: Successful Zero Trust implementations in defense sectors
Module 3: Role of AI in Zero Trust
- How AI enhances detection, prevention, and mitigation
- Integrating machine learning into security frameworks
- Key AI technologies for Zero Trust environments
Module 4: Group Exercise: Designing a Zero Trust Framework
- Participants collaborate to develop a Zero Trust architecture for a hypothetical DoD scenario
- Presentation and feedback session to refine designs
Day 2: AI Applications and Operational Implementation
Module 5: AI for Infrastructure Management
- Automating network monitoring and incident response
- Predictive analytics for system resilience and maintenance
- AI tools for threat intelligence
Module 6: AI-Driven Support for Operational Resilience
- Enhancing situational awareness with AI
- Optimizing resource allocation in real-time
- AI and decision support in combat environments
Module 7: Integrating AI into Zero Trust Architectures
- Technical considerations and implementation roadmaps
- Managing AI-generated data in compliance with DoD standards
- Practical challenges and solutions
Module 8: Group Exercise: AI-Powered Strategy Development
- Participants create a strategy for integrating AI into an existing Zero Trust framework
- Teams present their strategies and receive feedback from peers and facilitators
Module 9: Future Trends and Takeaways
- Emerging technologies in Zero Trust and AI for defense
- Building a culture of continuous improvement and innovation
Certification: Participants will receive a certificate of completion to recognize their enhanced expertise in Zero Trust and AI for infrastructure management in DoD operations.
This workshop ensures participants leave with actionable knowledge, group-developed strategies, and insights to support mission-critical infrastructure securely and effectively.