Opleiding: Foundation Applying Generative AI in ITGC Assurance

A practical introduction to using generative AI in IT General Controls (ITGC) assurance work, designed for auditors and assurance professionals who want to strengthen their testing, documentation, and analysis with modern AI tools. This course explains how large language models work at a conceptual level, where they add value in an audit context, and how to use them responsibly within professional standards. Participants will explore practical applications of generative AI across the core ITGC domains, including access management, change management, computer operations, and system development. The course covers techniques such as prompt design, evidence summarization, control narrative drafting, sample selection support, exception analysis, and policy review. Learners will also examine the limits of generative AI, including hallucinations, bias, confidentiality risks, and data protection concerns, along with guidance on review, validation, and documentation to maintain audit quality and integrity. By the end of the course, participants will be able to identify suitable use cases for generative AI in their ITGC work, craft effective prompts, critically evaluate AI-generated output, and apply appropriate safeguards aligned with professional and regulatory expectations. Who it's for: Internal and external auditors, IT auditors, GRC professionals, and assurance practitioners who want to apply generative AI to ITGC engagements in a structured and responsible way. Format: Short, self-paced modules with hands-on examples, prompt templates, and a closing knowledge check.