Governance In Genai: Security, Compliance & Risk Management

Foundational guide to GenAI Governance

What you'll learn

Understand the principles and challenges of governing generative AI

Identify and manage third-party risks associated with GenAI applications

Enforce GenAI access policies and implement identity governance solutions

Apply risk modeling and management techniques to GenAI

Requirements

None

Description

Generative AI is transforming industries, but with great power comes great responsibility. As organizations begin to deploy these cutting-edge technologies, ensuring that they are secure, compliant, and ethically governed has never been more critical. Our course provides a solid grounding in the essential principles of GenAI governance, helping you navigate the complex challenges of this emerging field in just one hour.In this course, you’ll gain key insights into how to manage the risks associated with generative AI systems. You will learn how to assess and mitigate third-party risks, ensure data protection and intellectual property rights, and understand the regulatory frameworks that govern the use of AI technologies. You’ll also explore how to enforce access policies, implement identity governance, and design user training programs that promote responsible AI usage. Through real-world examples and practical advice, we make these essential concepts easy to grasp and apply.The course is designed to give you an understanding of the most critical aspects of GenAI governance, from assessing vendor credibility and managing third-party tools, to preventing data leakage and protecting user privacy. You’ll also delve into the nuances of global regulations like GDPR and CCPA, and gain the skills needed to develop and enforce access controls, including role-based systems and multi-factor authentication. We’ll help you build the confidence you need to navigate the complexities of generative AI safely and responsibly.Whether you’re new to the world of generative AI or looking to enhance your existing knowledge, this course will equip you with the tools to manage the risks and ensure that your organization’s AI applications are secure, compliant, and aligned with best practices. In just one hour, you’ll gain the foundation needed to take on the governance challenges of generative AI and drive responsible, secure deployment within your organization. Enroll today and start building the knowledge and skills to lead in the world of GenAI governance.

Overview

Section 1: Content

Lecture 1 Course Introduction

Lecture 2 Module 1 : Introduction to Generative AI Governance

Lecture 3 Module 2: Third-Party Risk Management

Lecture 4 Risk Management Worksheet

Lecture 5 Module 3: Data Leakage Protection and Rights Management

Lecture 6 Module 4: Regulatory Compliance in Generative AI

Lecture 7 Module 5: User Awareness and Training

Lecture 8 Module 6: Example Training Curriculum

Lecture 9 Module 8: Approved vs. Disapproved Applications

Lecture 10 Module 9: Data Governance and User Behavior Monitoring

Lecture 11 Module 10: Risk Modeling and Management

Lecture 12 Module 11: Acceptable Use Policies for Generative AI

Lecture 13 Module 12: Wrapping up

IT Managers; Data Protection Officers; Compliance Officers; Risk Managers; AI Ethics Professionals; Business Leaders deploying GenAI