AI Risks and Continuous Auditing - How IT Auditors Must Adapt to Emerging Technologies
Introduction Artificial Intelligence (AI) has rapidly become a core component of modern digital transformation. Organizations are using AI and Machine Learning (ML) models for customer service chatbots, fraud detection, predictive analytics, clinical decision support, recruitment screening, and automated marketing. More recently, Generative AI (GenAI) tools such as ChatGPT-like systems have created new opportunities for automation and decision-making. However, these technologies also introduce new risks, including data leakage, bias, model errors, lack of transparency, and misuse of AI outputs. Traditional IT audits are usually performed periodically (Ex: annually or quarterly), focusing on evidence such as policies, system configurations, and transaction samples. But AI systems and cloud environments change frequently, and risks can emerge in real time. As a result, modern organizations increasingly require continuous auditing and continuous controls monitoring (CCM) . This blog e...