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Course Outline
Introduction to AI
- Defining AI and exploring its key concepts
- The evolution and various types of AI
- The role of AI in business and IT environments
Overview of IT Auditing
- The objectives and scope of IT audits
- Core IT audit concepts: Governance, risk, and compliance
- Comparing traditional methods with 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
- Identifying data sources in IT audits
- Applying AI for advanced data analysis
- The role of predictive analytics in IT auditing
AI-Driven Risk Assessment
- Identifying and evaluating risks with AI assistance
- Automating the risk assessment process
- Utilizing AI tools for continuous monitoring and auditing
Implementing AI in IT Audit Processes
- AI-driven strategies for audit planning
- Automating audit procedures using AI
- Real-time audit reporting and AI-powered dashboards
Ethical Considerations and Challenges
- Addressing AI bias and ensuring fairness
- Maintaining data privacy and security in AI-driven audits
- Navigating legal and regulatory implications
AI in Cybersecurity Auditing
- Using AI to detect and respond to security incidents
- Auditing the effectiveness of AI-driven cybersecurity systems
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 impact IT audit
- Preparing for the future 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
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.