From the course: Governance, Risk, and Compliance (GRC) Essentials by Pearson
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Developing an AI security and governance framework
From the course: Governance, Risk, and Compliance (GRC) Essentials by Pearson
Developing an AI security and governance framework
As AI systems become increasingly integrated into business operations, it's important to implement security and governance practices tailored to their unique challenges. In this lesson, we'll explore how to build a framework that ensures AI systems are secure, ethical, and compliant with organizational and regulatory standards. AI systems present unique challenges that traditional governance frameworks may not fully address. A dedicated framework is important because it will holistically address topics such as AI system complexity, a dynamic threat landscape, and any ethical and legal considerations you should keep in mind. These complexities highlight the need for a framework that combines comprehensive security controls with ethical and operational governance. A comprehensive AI security and governance framework include the following. First is data governance, which is all about managing the data lifecycle to ensure its quality, privacy, and security. Next is model security, which…
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