Privacy and Compliance in the Age of GenAI: Data Governance, Classification, and Inventory

Course details

In this course, Nishant Bhajaria—a privacy and security leader and a digital product architect—shows you how to build a data governance strategy to help accelerate innovations in genAI. Find out how to classify data based on collection methodology, use cases, business value and privacy. Then learn how to define tags to affix to the data, so that you can map data protection controls on an ongoing basis to your data. Plus, explore hands-on opportunities to practice data classification and data inventory, to equip yourself with job-ready skills. This course helps you build a thorough understanding of how to catalog and inventory your data.

This course includes AI-powered Role Play. Role Play allows you to practice what you’ve learned in interactive simulations of real-world conversations.

Learning objectives
Build a front-loaded data governance strategy so that data can be protected early and efficiently.
Partner across the organization to classify data based on use and risk.
Define dynamic and descriptive tags that can attach to the data.
Map data protection controls to data.
Apply data governance to help accelerate GenAI innovation.

Concepts

Introduction

Data governance in the GenAI era
Who this course is for

Data Governance in the Age of GenAI

The state of privacy regulation
The state of AI regulation
Why data governance is critical for your business
Data classification as part of data governance
Data inventory as part of data governance

Data Classification

Data classification and regulations
Data classification and business needs
Data classification as a cross-functional endeavor
Data classification in the age of GenAI
Challenge - A data classification question
Solution - A data classification solution

Data Classification - Obstacles and Opportunities

Challenges of data classification
Solutions for data classification
Thought experiment - A sequential data classification

Data Inventory - Building Your Baseline

What is data inventory
Data inventory and data governance
How can you prepare for data inventory

Data Inventory - Building Your Systems

Data inventory using manual resources and automation
Technical implementation of data inventory
Data inventory architecture
Data inventory metadata

Data Inventory - Optimizing Your Systems

Centralized vs. decentralized
Data inventory successes
Data inventory challenges
Getting executive buy-in for data inventory

Conclusion

Next steps