AAISM Domain 1, Part C: AI Asset & Data Life Cycle Management

You cannot secure what you cannot see, and you cannot govern what you haven't inventoried. In this session of the AAISM series we cover Domain 1, Part C: AI Asset and Data Life Cycle Management, the "engine and fuel" of AI governance. We cover how an AI solution differs from traditional IT, how to discover Shadow AI, what to record for every AI asset, the difference between a Data Dictionary, Business Glossary and Data Catalog, how to build a data inventory, dataflow diagrams vs. usage diagrams vs. data lineage, the six dimensions of data quality, data imbalance and scarcity, model drift and RAG, and the Model Card. 📘 Practice with free AAISM scenario questions mapped to the review manual: https://aaism.crashcoursetech.com (free while this video series is rolling out) 🎯 Preparing for CISSP too? Get granular sub-topic analytics that pinpoint your exact weak areas: https://cissp.crashcoursetech.com Use code LetsPassYourCISSPExam for a 7-day unrestricted free trial. ⏱️ CHAPTERS 00:00 Welcome back + where Part C fits 00:20 Why you can't govern what you haven't inventoried 01:55 How an AI solution differs from traditional IT 03:50 The Engine and the Fuel 05:05 Discovering Shadow AI: three coordinated methods 06:55 The anatomy of an AI asset 09:35 The scale of AI fuel: structured vs. unstructured data and the Five Vs 12:35 Data Dictionary vs. Business Glossary vs. Data Catalog 15:05 Building a data inventory: Plan, Decide, Populate, Publish 16:35 Dataflow diagrams, usage diagrams and data lineage 18:05 Data classification across the AI pipeline 19:45 The six dimensions of data quality 21:05 Data imbalance and data scarcity 22:25 Data lag, model drift and RAG 23:50 The Model Card 25:15 Recap, practice portal and what's next 📌 Next in the series: Domain 1, Part D: AI Security Program Development and Management (threat modeling, AI security architectures, defense-in-depth and incident response) 👍 If this helped, like, subscribe and share it with a colleague who's preparing. Drop your questions in the comments, I read and answer every one. #AAISM #AIGovernance #ISACA #AIRiskManagement #DataGovernance #ShadowAI #ModelCard #CertificationPrep #CrashCourseTech