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ISACA Advanced in AI Audit (AAIA)
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Isaca AAIA Questions and Answers
Which of the following is the MOST important task when gathering data during the AI system development process?
An organization uses an AI-powered tool to detect and respond to cybersecurity threats in real time. An IS auditor finds that the tool produces excessive false positives, increasing the workload of the security team. Which of the following techniques should the auditor recommend to BEST evaluate the tool's effectiveness in managing this issue?
A retail organization uses an AI model to forecast inventory based on customer purchasing trends and updates the model quarterly. The model recently failed to recognize a surge in demand during a popular shopping season. Which of the following issues does this situation BEST demonstrate?
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Not at all! You don’t need to be a programmer to pass the AAIA. The exam focuses more on understanding AI risks, governance, and audit practices—not writing algorithms. While basic tech familiarity helps, ISACA designed the exam for auditors and risk pros, not AI engineers.
The 2024 update added generative AI governance, large language model (LLM) risks, and AI ethics in real-time systems. ISACA also shifted toward scenario-based questions, meaning you’ll now see more practical audit situations, not just theory.
Nope! The AAIA goes deep into AI-specific risks, such as bias, drift, data poisoning, and black-box modeling. CISA prep won’t cut it here. You’ll need to study emerging AI audit tools, governance frameworks like OECD AI Principles, and real-world use cases.
Yes, definitely. Those certs are tech-focused. The AAIA is audit- and governance-centered, ideal if you want to lead or assess AI implementations, not just build them. It gives you credibility in boardrooms and with compliance teams.
Yes, but it's smart to brush up on AI fundamentals—think supervised vs. unsupervised learning, model lifecycle, and basic AI terminology. Even if you're a traditional auditor, ISACA provides candidate guidance to help bridge knowledge gaps.
This is one of the freshest updates in the 2024 syllabus. You’ll explore how GenAI systems behave unpredictably, how to test for misuse, and how to design audit procedures for LLM transparency and security. It's cutting-edge and practical.
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TESTED 01 Dec 2025
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