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Duration 14 hours
Course Outline
Introduction to AI
- Defining AI and exploring key concepts
- The evolution and various types of AI
- The role of AI in business and IT contexts
Overview of IT Auditing
- Defining the purpose and scope of IT audits
- Core IT audit concepts: Governance, risk, and compliance
- Comparing traditional auditing with AI-enhanced methods
AI Technologies in IT Audit
- Machine learning applications
- Natural language processing (NLP)
- Robotic process automation (RPA)
- Advanced data analytics
Data Collection and Analysis
- Identifying data sources relevant to IT audits
- Utilizing AI for robust data analysis
- Applying predictive analytics in the audit process
AI-Driven Risk Assessment
- Identifying and evaluating risks using AI
- Strategies for automating risk assessment workflows
- Leveraging AI tools for continuous monitoring and auditing
Implementing AI in IT Audit Processes
- Developing AI-driven audit plans
- Automating standard audit procedures with AI
- Generating real-time audit reports and AI-powered dashboards
Ethical Considerations and Challenges
- Addressing AI bias and ensuring fairness
- Maintaining data privacy and security in AI-based audits
- Navigating legal and regulatory implications
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 specific role of IT auditors in AI governance
Future Trends in AI and IT Auditing
- Emerging AI technologies set to impact IT audit
- Preparing for the future landscape 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.