8 – AI Security & Governance (ISACA) (P:3 C:8)

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About Course

Phase 3 Course 8: AI Roadmap for Corporate Growth

As Artificial Intelligence transitions from a “luxury tool” to a “core infrastructure,” the risks associated with data privacy, algorithmic bias, and adversarial attacks have skyrocketed. This course provides a comprehensive roadmap for implementing an AI governance framework that satisfies auditors, protects intellectual property, and enables safe

 

Benefits of Attending

  • Risk Reduction: Prevent costly data leaks and regulatory fines.
  • Competitive Edge: Learn to deploy AI faster by building trust from the start.
  • Career Growth: Master the “AI Security” niche, one of the most in-demand skill sets in 2026.
  • Ready-to-Use Toolkits: Gain access to AI risk assessment templates and checklists

 

Expected Outcomes

By the end of this course, learners will be able to conduct a full AI Impact Assessment (AIA) and design a Responsible AI Policy that aligns with ISACA best practices.

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    What Will You Learn?

    • Establish a robust AI governance structure within an organization.
    • Identify and mitigate security vulnerabilities unique to LLMs and Machine Learning.
    • Ensure compliance with global regulations (EU AI Act, NIST, GDPR).
    • Implement data privacy controls for AI training and inference.

    Course Content

    Module 1: Foundations of AI & Governance

    • Foundations of AI & Governance
      11:18
    • Module 1 Quiz

    Module 2: The Regulatory Landscape

    Module 3: AI Security: Threats & Vulnerabilities

    Module 4: Data Privacy in the Age of AI

    Module 5: Ethical AI & Bias Mitigation

    Module 6: AI Risk Assessment & Management

    Module 7: Operationalizing AI Governance

    Module 8: Monitoring & Incident Response

    Conclusions and Summary

    Download: Resources

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