{"product_id":"ai-powered-cmmc-audit-automation-course","title":"AI-Powered CMMC Audit Automation Course","description":"\u003cdiv\u003e\n\u003cp\u003eThis 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.\u003c\/p\u003e\r\n\u003cp\u003eThe course covers discriminative and generative AI approaches, foundation models, and large language models specifically applied to compliance automation challenges facing defense contractors.\u003c\/p\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch3\u003eAI-Powered CMMC Audit Automation Course Benefits\u003c\/h3\u003e\n\u003cul\u003e\u003cli\u003e\n\u003cp\u003e\u003cb\u003eUpon completing this course, students should be able to:\u003c\/b\u003e\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eDeploy AI tools to automate CMMC evidence collection and documentation\u003c\/li\u003e\n\u003cli\u003eImplement AI-driven risk assessment frameworks for continuous compliance monitoring\u003c\/li\u003e\n\u003cli\u003eLeverage generative AI to accelerate policy creation and security awareness training\u003c\/li\u003e\n\u003cli\u003eUtilize AI-powered security operations tools for real-time threat detection and incident response\u003c\/li\u003e\n\u003cli\u003eApply AI governance frameworks to ensure responsible AI adoption while maintaining CMMC compliance\u003c\/li\u003e\n\u003cli\u003eDesign an AI implementation roadmap for sustainable CMMC audit automation\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003ePrerequisites\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003eAttendees should have foundational knowledge of CMMC requirements and process\u003c\/p\u003e\n\u003c\/li\u003e\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\u003ch3\u003eAI-Powered CMMC Audit Automation Course Outline\u003c\/h3\u003e\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eLearning Objectives\u003c\/h4\u003e\n\u003cp\u003e\u003cb\u003eModule 1 – AI Foundations for CMMC Automation\u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eEvolution of AI technology: machine learning, deep neural networks, and NLP in compliance\u003c\/li\u003e\n\u003cli\u003eAI architectures for security: CNNs, RNNs, and transformers in CMMC automation\u003c\/li\u003e\n\u003cli\u003eFoundation models vs. large language models for compliance documentation\u003c\/li\u003e\n\u003cli\u003eMapping AI technologies to automated evidence collection and control verification\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003ePractical Focus\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eAutomating CMMC Level 1 and Level 2 control verification with AI\u003c\/li\u003e\n\u003cli\u003eIdentifying high-value automation opportunities across the 110 CMMC controls\u003c\/li\u003e\n\u003cli\u003eContinuous AI-powered compliance monitoring and status tracking\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003eLab Exercise\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eInvestigating Discriminative and Generative AI\u003c\/li\u003e\n\u003cli\u003eHands-on exploration of how different AI approaches automate CMMC compliance tasks.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003eModule 2 – AI Risk Management in CMMC Environments\u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eSecurity, privacy, and compliance risks of AI implementations in defense contracting\u003c\/li\u003e\n\u003cli\u003eEthical AI deployment aligned with DoD responsible AI principles\u003c\/li\u003e\n\u003cli\u003eRisks introduced by generative AI and mitigation strategies\u003c\/li\u003e\n\u003cli\u003eDefending against AI-enhanced social engineering and deepfake attacks\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003eCMMC-Specific Focus\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eBalancing AI risk mitigation with compliance objectives\u003c\/li\u003e\n\u003cli\u003eHuman autonomy vs. automated system autonomy in compliance monitoring\u003c\/li\u003e\n\u003cli\u003eData governance for AI systems handling CUI and FCI\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003eLab Exercises\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eProtecting Sensitive Data with DLP – Implementing DLP in AI-powered compliance systems\u003c\/li\u003e\n\u003cli\u003eConducting an AI Risk Assessment – Evaluating AI risks in defense contractor environments\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003eModule 3 – AI-Enhanced Security Operations for CMMC\u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eSecOps automation using AI-based monitoring and response\u003c\/li\u003e\n\u003cli\u003eManaging hybrid IT and cloud AI environments in defense contracting\u003c\/li\u003e\n\u003cli\u003eAI security tooling: Google AI SecOps, Microsoft Cybersecurity Copilot, SIEM\/SOAR integration\u003c\/li\u003e\n\u003cli\u003eAIOps, AI networking, and telemetry-driven day-2 operations\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003eHands-On Tools\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eGoogle AI SecOps Unified Data Model for evidence collection\u003c\/li\u003e\n\u003cli\u003eMicrosoft Cybersecurity Copilot for investigations and documentation\u003c\/li\u003e\n\u003cli\u003eAI-driven orchestration for automated incident response and compliance validation\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003eLab Exercise\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eDefending Security with AI\u003cbr\u003eImplementing AI-powered monitoring and automated response for CMMC control verification.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003eModule 4 – AI Vulnerabilities and Attack Vectors\u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eAI algorithms, datasets, and models as attack surfaces\u003c\/li\u003e\n\u003cli\u003eOWASP Top 10 risks for AI-powered systems\u003c\/li\u003e\n\u003cli\u003ePrompt engineering threats and injection attack defenses\u003c\/li\u003e\n\u003cli\u003eAI-enhanced social engineering and deepfake exploitation\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003eDefense Contractor Focus\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eSecuring AI used in CMMC compliance automation\u003c\/li\u003e\n\u003cli\u003eProtecting intellectual property from AI-enabled reconnaissance\u003c\/li\u003e\n\u003cli\u003eAI red teaming to validate secure CMMC implementations\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003eLab Exercises\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003ePenetration Testing an AI System – Identifying vulnerabilities in AI compliance tools\u003c\/li\u003e\n\u003cli\u003eEnhancing Hacking with GenAI – Understanding attacker AI techniques targeting defense contractors\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003eModule 5 – AI Governance and CMMC Framework Integration\u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eRegulatory landscape: EU AI Act and NIST AI Risk Management Framework\u003c\/li\u003e\n\u003cli\u003eOWASP governance checklist for secure AI deployment\u003c\/li\u003e\n\u003cli\u003eResponsible AI and secure AI frameworks for ethical implementation\u003c\/li\u003e\n\u003cli\u003eFederated learning and zero-trust generative AI architectures\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003ePractical Implementation\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eEstablishing AI governance policies for defense contractors\u003c\/li\u003e\n\u003cli\u003eManaging generative AI risk while enabling automation\u003c\/li\u003e\n\u003cli\u003eIntegrating AI with existing CMMC compliance management platforms\u003c\/li\u003e\n\u003cli\u003eEvaluating vendors and assessing AI security tool risk\u003c\/li\u003e\n\u003cli\u003eEvolution of AI Technology: Machine Learning, Deep Neural Networks, and NLP applications in compliance\u003c\/li\u003e\n\u003cli\u003eAI Architectures for Security: CNNs, RNNs, Transformers and their role in CMMC automation\u003c\/li\u003e\n\u003cli\u003eFoundation Models vs. Large Language Models: Understanding capabilities for compliance documentation\u003c\/li\u003e\n\u003cli\u003eCMMC-Specific Applications: Mapping AI technologies to automated evidence collection and control verification\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003ePractical Focus:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eUnderstanding AI capabilities for automating CMMC Level 1 and Level 2 control verification\u003c\/li\u003e\n\u003cli\u003eIdentifying which of the 110 CMMC controls benefit most from AI automation\u003c\/li\u003e\n\u003cli\u003eAI-powered continuous monitoring for compliance status tracking\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003eLab Exercise\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003ci\u003eInvestigating Discriminative and Generative AI\u003c\/i\u003e - Hands-on exploration of how different AI approaches can automate CMMC compliance tasks\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e","brand":"Learning Tree","offers":[{"title":"267D58US \/ 2026-07-27T09:00:00 \/ Online","offer_id":48833428095195,"sku":"US-4901-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"26AC23US \/ 2026-10-26T09:00:00 \/ Online","offer_id":48833428127963,"sku":"US-4901-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"271C67US \/ 2027-01-25T09:00:00 \/ Online","offer_id":48833428160731,"sku":"US-4901-IL","price":716.0,"currency_code":"USD","in_stock":true},{"title":"274C20US \/ 2027-04-26T09:00:00 \/ Online","offer_id":48833428193499,"sku":"US-4901-IL","price":716.0,"currency_code":"USD","in_stock":true}],"url":"https:\/\/learningtreeinternational-dirinfosec-hhs.myshopify.com\/products\/ai-powered-cmmc-audit-automation-course","provider":"Learning Tree International","version":"1.0","type":"link"}