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Course Outline
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
Requirements
- Fundamental knowledge of IT auditing concepts.
- Basic understanding of artificial intelligence, machine learning, and data analytics.
Audience
- IT auditors.
- AI and data analysts.
14 Hours
Testimonials (4)
The trainer was helpful..
Attila - Lifial
Course - Compliance and the Management of Compliance Risk
learning about Basel
Daksha Vallabh - Standard Bank of SA Ltd
Course - Basel III – Certified Basel Professional
Speed of response and communication
Bader Bin rubayan - Lean Business Services
Course - ISO/IEC 27001 Lead Implementer
Risk optimization is more clear than the other subjects