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ISACA

Auditing Generative AI: Strategy, Analysis & Risk Mitigation

Rapid advancements of generative AI technologies has heightened the criticality of an auditors ability to provide assurance that generative AI implementations meet business objectives and are free of bias. This course introduces IT auditors to generative AI, discusses the importance of AI strategy, explores use cases and addresses challenges associated with auditing generative AI. With background information established, auditors are introduced to important considerations, an auditing methodology and process to successfully audit generative AI. This course leverages video, use cases, and knowledge checks to enhance your learning experience. Why This Course Matters: This course equips individuals with the necessary skills to navigate the complexities of auditing generative AI effectively, covering essential concepts, strategy formulation, risk evaluation, and auditing methodologies. By addressing unique challenges and providing assurance, auditors are empowered to mitigate concerns and contribute to the responsible use of generative AI technologies.

Status: Compliance Auditing
Status: Risk Management
IntermediateCourse2 hours

Featured reviews

DN

5.0Reviewed Jul 16, 2025

Exceptional Good Course covering the topic Simplest & Shortest way

KC

5.0Reviewed Mar 26, 2025

Very interesting topics, case scenarios to reinforce best practices.

RJ

4.0Reviewed Jan 6, 2025

Some content are repetitive but overall great introduction to AI and overview of how to review it.

All reviews

Showing: 13 of 13

Ildikó Szigecsán-Mogyorósi
2.0
Reviewed Jan 26, 2025
Muhammad Rezha Fahlevi
5.0
Reviewed Jul 25, 2024
Ruselle Jorbina
4.0
Reviewed Jan 7, 2025
Sanjay Desai
3.0
Reviewed Oct 28, 2024
Sudipto Modok Joy
5.0
Reviewed Oct 2, 2025
LEE PUE YEN
5.0
Reviewed May 5, 2025
Ken Chen
5.0
Reviewed Mar 27, 2025
Deepu Krishnan Divakaran Nair
5.0
Reviewed Jul 17, 2025
Dixon Phillips
5.0
Reviewed Feb 13, 2026
Cristina
5.0
Reviewed Aug 3, 2025
Hardik Rajpura
5.0
Reviewed Nov 11, 2025
Long NGUYEN HUY
5.0
Reviewed Apr 3, 2025
Marcia Méndez
3.0
Reviewed Dec 19, 2025