AI-Powered CMMC Audit Automation

This intensive one-day program equips Defense Industrial Base organizations with practical AI tools and strategies to automate CMMC audit preparation, reduce compliance costs, and accelerate certification readiness. Drawing from proven AI cybersecurity methodologies, participants will learn how to leverage machine learning, neural networks, natural language processing, and generative AI technologies to streamline evidence collection, automate risk assessments, and enhance continuous monitoring for CMMC Level 1 and Level 2 requirements.

The course covers discriminative and generative AI approaches, foundation models, and large language models specifically applied to compliance automation challenges facing defense contractors.

This course qualifies for 6 CPEs

AI-Powered CMMC Audit Automation Benefits

• Upon completing this course, students should be able to:

  • Deploy AI tools to automate CMMC evidence collection and documentation
  • Implement AI-driven risk assessment frameworks for continuous compliance monitoring
  • Leverage generative AI to accelerate policy creation and security awareness training
  • Utilize AI-powered security operations tools for real-time threat detection and incident response
  • Apply AI governance frameworks to ensure responsible AI adoption while maintaining CMMC compliance
  • Design an AI implementation roadmap for sustainable CMMC audit automation

• Prerequisites

  Basic knowledge of CMMC framework and cybersecurity fundamentals.

AI-Powered CMMC Audit Automation

Learning Objectives

9:00 AM - 10:30 AM: AI Foundations for CMMC Automation

Key Topics:

• Evolution of AI Technology: Machine Learning, Deep Neural Networks, and NLP applications in compliance
• AI Architectures for Security: CNNs, RNNs, Transformers and their role in CMMC automation
• Foundation Models vs. Large Language Models: Understanding capabilities for compliance documentation
• CMMC-Specific Applications: Mapping AI technologies to automated evidence collection and control verification

Practical Focus:

• Understanding AI capabilities for automating CMMC Level 1 and Level 2 control verification
• Identifying which of the 110 CMMC controls benefit most from AI automation
• AI-powered continuous monitoring for compliance status tracking

LAB EXERCISE: Investigating Discriminative and Generative AI - Hands-on exploration of how different AI approaches can automate CMMC compliance tasks

10:45 AM - 12:00 PM: AI Risk Management in CMMC Environments

Key Topics:

• Risks of AI Implementations: Security, privacy, and compliance considerations for defense contractors
• Ethical Considerations: Ensuring AI deployment aligns with DoD responsible AI principles
• Risks with Generative AI: Managing GenAI risks while leveraging automation benefits
• Protecting from GenAI-aided Attacks: Defending against AI-enhanced social engineering and deepfakes

CMMC-Specific Focus:

• Mitigating AI Risks while achieving CMMC compliance objectives
• Human Autonomy vs. System Autonomy in automated compliance monitoring
• Data governance for AI systems handling CUI and FCI

LAB EXERCISES:

• Protecting Sensitive Data With DLP - Implementing data loss prevention in AI-powered compliance systems
• Conducting an AI Risk Assessment - Evaluating AI implementation risks in defense contractor environments

1:00 PM - 2:30 PM: AI-Enhanced Security Operations for CMMC

Key Topics:

• SecOps and AI-Based Security Processes: Automating security monitoring for CMMC compliance
• IT Operations and Cloud AI: Managing hybrid environments common in defense contracting
• AI Security Tools: Google AI SecOps, Cybersecurity Copilot, and SIEM/SOAR integration
• AIOps and AI Networking: Streamlining day-2 operations and telemetry collection

Hands-on Tools:

• Google AI SecOps: Unified Data Model (UDM) for CMMC evidence collection
• Microsoft Cybersecurity Copilot: Investigation assistance and automated documentation
• AI-driven Security Orchestration: Automated incident response for compliance requirements

LAB EXERCISE: Defend Security With AI - Implementing AI-powered security monitoring and automated response for CMMC control verification

2:45 PM - 4:00 PM: AI Vulnerabilities and Attack Vectors

Key Topics:

• AI Algorithms, Data Sets, and Models: Understanding attack surfaces in AI systems
• OWASP AI Security Risks: Top 10 vulnerabilities affecting AI-powered compliance tools
• Prompt Engineering and Injection Attacks: Securing AI interfaces from malicious inputs
• AI-Enhanced Social Engineering: Defending against deepfakes and GenAI-powered attacks

Defense Contractor Specific:

• Protecting AI systems used for CMMC compliance automation
• Securing intellectual property from AI-powered reconnaissance
• AI Red Teaming for testing CMMC implementation security

LAB EXERCISES:

• Penetration Testing an AI System - Identifying vulnerabilities in AI compliance tools
• Enhance Hacking With GenAI - Understanding how attackers use AI to target defense contractors

4:15 PM - 5:30 PM: AI Governance and CMMC Frameworks Integration

Key Topics:

• Regulatory Compliance for AI: EU AI Act, NIST AI Risk Management Framework
• OWASP Security & Governance Checklist: Best practices for AI system governance
• Responsible AI and Google Secure AI Framework: Implementing ethical AI practices
• Federated Learning and Zero Trust Generative AI: Advanced architectures for secure AI deployment

Practical Implementation:

• AI Governance Framework: Policies and procedures for defense contractors
• GenAI Governance: Managing generative AI risks while enabling automation
• Integration with existing CMMC compliance management platforms
• Vendor evaluation and risk assessment for AI security tools

CAPSTONE EXERCISE: Developing a 90-day AI implementation plan for CMMC audit automation - Creating actionable roadmaps for AI-powered compliance transformation