AI-Powered CMMC Audit Automation

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