AI and IT Audit

• Basic knowledge of IT auditing concepts
• Basic understanding of artificial intelligence, machine learning, and data analytics

Audience

• IT auditors
• AI and data analysts

AI and IT audit represent the convergence of advanced technology and traditional auditing practices, leading to more efficient, accurate, and proactive auditing processes. When AI is applied to IT audits, it transforms how audits are conducted by automating processes, enhancing data analysis, and providing deeper insights into risks and compliance.

This instructor-led, live training (online or onsite) is aimed at intermediate-level IT auditors who wish to effectively incorporate AI tools in their audit practices.

By the end of this training, participants will be able to:

• Grasp the core concepts of artificial intelligence and how it is applied in the context of IT auditing.
• Utilize AI technologies such as machine learning, NLP, and RPA to improve audit efficiency, accuracy, and scope.
• Perform risk assessments using AI tools, enabling continuous monitoring and proactive risk management.
• Integrate AI into audit planning, execution, and reporting, enhancing the overall effectiveness of IT audits.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

Introduction to AI

• Definition and key concepts
• Evolution and types of AI
• AI in business and IT

Overview of IT Auditing

• Purpose and scope of IT audit
• Key concepts in IT audit: Governance, risk, and compliance
• Traditional vs. AI-enhanced IT auditing

AI technologies in IT Audit

• Machine learning
• Natural language processing (NLP)
• Robotic process automation (RPA)
• Data analytics

Data Collection and Analysis

• Data sources in IT audits
• Using AI for data analysis
• Predictive analytics in IT auditing

AI-Driven Risk Assessment

• Identifying and assessing risks with AI
• Automating risk assessments
• AI tools for continuous monitoring and auditing

Implementing AI in IT Audit Processes

• AI-driven audit planning
• Automating audit procedures with AI
• Real-time audit reporting and AI dashboards

Ethical Considerations and Challenges

• AI bias and fairness
• Data privacy and security in AI audits
• Legal and regulatory implications

AI in Cybersecurity Auditing

• AI for detecting and responding to security incidents
• Auditing AI-driven cybersecurity systems

AI Governance and IT Audit

• AI in IT governance frameworks
• Role of IT auditors in AI governance

Future Trends in AI and IT Auditing

• Emerging AI technologies impacting IT audit
• Preparing for the future of AI in IT auditing

Summary and Next Steps