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Published by Mike McNelis on June 26, 2025
It’s hard to ignore the growing discussion in the tech and compliance communities: AI is changing everything, and auditing is no exception. The risks that companies take on are changing at the same rate as the technology itself as they rush to implement automated decision-making systems and machine learning models. It is therefore not surprising that ISACA has responded with a new product that is specifically targeted at this time: the Advanced in AI Audit™ (AAIA™) certification.
And what do I think? The timing of this certification couldn’t be better.
None of the credentials CIA, CPA, and CISA were designed to handle the particular complexity of AI-driven systems, despite being industry standards.
We’re talking about data pipelines that pull information from enormous, dynamic datasets, neural networks that are so complicated that even their developers are unable to fully explain them, and algorithms that make decisions in milliseconds. Traditional auditors simply weren’t prepared to handle the complex environment created by privacy issues, unclear regulations, and the rising demand for moral AI.
For this reason, it is not only reasonable but also essential that ISACA introduce a certification that is especially focused on AI auditing.
The AAIA certification is unique in that it avoids trying to do too much, which is a good thing. Its primary goal is to guarantee that experts are capable of accurately evaluating, tracking, and validating AI systems from a governance and risk management perspective.
You must have a valid CISA, CIA, or CPA credential in order to even take the test. That’s quality control, not gatekeeping. This certification is not for novices, as ISACA makes clear. It is intended for seasoned professionals who wish to delve deeper into a field that is rapidly gaining relevance and who already understand audit principles.
Three domains comprise the actual exam:
This breakdown makes a lot of sense to me. The true risks—bias, data misuse, drift, and lack of transparency—are found in governance and operations. However, the tools and techniques domain is also essential: you cannot audit AI without knowing how to evaluate data lineage, test model accuracy, and audit real-time evolving processes.
Clearly, ISACA had no interest in creating a “check-the-box” test. They are looking for people who can do the work, not just learn words.
The emphasis on ethics and trust is one of the things I value the most. We urgently need experts who know not only how AI functions but also when and how not to use it in a world where it can be used to sway public opinion, automate hiring decisions, and even suggest sentences in court.
This certification aims to align AI deployments with wider human values rather than merely verifying technical proficiency. Many tech certifications have been lacking that, so I’m happy ISACA isn’t avoiding it.
Here’s where I get excited: you’re ahead of the curve if you’re a compliance or audit professional and you obtain the AAIA now.
Consider this: the typical company is still unaware of all the dangers associated with the AI they are using. Regulators such as the FTC and the EU are only now starting to take action against abuse. Boards are rushing to develop frameworks for oversight. Who do you suppose they will seek advice from?
The solution is auditors who understand AI.
That fluency is something that AAIA provides, and not many people currently possess it.
The AAIA is ultimately more than just a new line on your resume. It sends a message to the market that you are prepared to take the lead and that you understand the direction that auditing is taking. It’s a wager on governance, the ethical application of AI, and the future of technology.
I believe that this is one of the best, most progressive career decisions you can make if you are already well-versed in IT auditing or assurance.
The AAIA certification represents the future of auditing in an AI-driven world. Position yourself at the forefront of this critical field.
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