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Course Outline
Introduction to AI
- Core definitions and key concepts
- The development and classification of AI systems
- The role of AI in business and IT sectors
Fundamentals of IT Auditing
- Objectives and scope of IT audit functions
- Essential IT audit concepts: governance, risk, and compliance
- Comparing traditional auditing methods with AI-enhanced approaches
AI Technologies in IT Audit
- Machine learning
- Natural language processing (NLP)
- Robotic process automation (RPA)
- Data analytics
Data Collection and Analysis
- Sources of data within IT audits
- Applying AI for advanced data analysis
- The role of predictive analytics in IT auditing
AI-Driven Risk Assessment
- Identifying and evaluating risks using AI
- Automation of risk assessment processes
- Utilizing AI tools for continuous monitoring and audit activities
Integrating AI into IT Audit Processes
- AI-assisted audit planning
- Automating audit procedures through AI
- Real-time reporting and AI-powered dashboards
Ethical Considerations and Challenges
- Addressing AI bias and ensuring fairness
- Data privacy and security considerations in AI-driven audits
- Legal and regulatory frameworks and implications
AI in Cybersecurity Auditing
- Using AI to detect and mitigate security incidents
- Auditing systems driven by AI for cybersecurity
AI Governance and IT Audit
- The place of AI within IT governance frameworks
- The evolving role of IT auditors in AI governance
Future Trends in AI and IT Auditing
- Emerging AI technologies that will shape IT audit
- Preparing for the future landscape of AI in IT auditing
Summary and Next Steps
Requirements
- Foundational knowledge of IT auditing principles
- Basic comprehension of artificial intelligence, machine learning, and data analytics concepts
Target Audience
- IT auditors
- AI and data analysts
14 Hours
Testimonials (2)
The trainer was helpful..
Attila - Lifial
Course - Compliance and the Management of Compliance Risk
The report and rules setup.