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Duration 14 hours
Course Outline
Introduction to AI
- Defining key concepts and terminology
- The evolution and various types of AI
- Applications of AI in business and IT contexts
Overview of IT Auditing
- The purpose and scope of IT audits
- Essential concepts: Governance, risk, and compliance
- Comparing traditional methods with AI-enhanced auditing
AI Technologies in IT Audit
- Machine learning
- Natural language processing (NLP)
- Robotic process automation (RPA)
- Data analytics
Data Collection and Analysis
- Identifying data sources for IT audits
- Employing AI for robust data analysis
- Utilizing predictive analytics in IT auditing
AI-Driven Risk Assessment
- Identifying and evaluating risks using AI
- Automating risk assessment processes
- Leveraging AI tools for continuous monitoring and audit
Implementing AI in IT Audit Processes
- AI-driven strategies for audit planning
- Streamlining audit procedures through automation
- Generating real-time audit reports and AI-powered dashboards
Ethical Considerations and Challenges
- Addressing AI bias and fairness
- Ensuring data privacy and security in AI audits
- Navigating legal and regulatory frameworks
AI in Cybersecurity Auditing
- Using AI to detect and respond to security incidents
- Auditing AI-driven cybersecurity systems
AI Governance and IT Audit
- Integrating AI into IT governance frameworks
- The role of IT auditors in AI governance
Future Trends in AI and IT Auditing
- Emerging AI technologies shaping the IT audit landscape
- Preparing for the future of AI in IT auditing
Summary and Next Steps
Requirements
- Foundational knowledge of IT auditing principles
- Fundamental understanding of artificial intelligence, machine learning, and data analytics
Target Audience
- IT auditors
- AI and data analysts
Testimonials (2)
The trainer was helpful..
Attila - Lifial
Course - Compliance and the Management of Compliance Risk
The report and rules setup.