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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

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