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Certified AI Governance Risk and Compliance Analyst (CAIGRC) Certification Program by Tonex

Integrating AI and Zero Trust into Cyber Digital Twins for Operational Technology Protection Workshop by Tonex

The CAIGRC Certification Program empowers professionals to manage and govern enterprise AI systems effectively. This course explores AI-specific compliance challenges, covering global regulatory frameworks, internal controls, and ethics. Participants gain expertise in developing AI governance policies, conducting risk assessments, and managing legal exposures from AI deployments. The program emphasizes explainability, bias mitigation, and third-party risk handling. It prepares learners to lead responsible AI practices in complex organizational environments. Suitable for professionals aiming to bridge technology, law, and ethics in AI systems.

Audience:

  • Compliance officers
  • Risk managers
  • AI governance professionals
  • Legal and policy advisors
  • Data privacy officers
  • IT and cybersecurity leaders

Learning Objectives:

  • Understand major AI audit and compliance frameworks
  • Design risk-based AI policy and governance models
  • Apply ethics and bias controls in AI systems
  • Manage legal and cross-border data issues in AI
  • Assess third-party AI vendor risks

Program Modules:

Module 1: AI Audit and Governance Frameworks

  • Overview of NIST AI Risk Management Framework
  • ISO/IEC 23894 governance requirements
  • EU AI Act classifications and risk tiers
  • Organizational AI audit checklist
  • Mapping internal AI risks to external frameworks
  • Audit readiness and compliance reporting

Module 2: Designing AI Risk and Control Programs

  • AI policy structure and governance charter
  • AI risk register creation and maintenance
  • Control frameworks for AI lifecycle
  • Monitoring high-risk model behaviors
  • Establishing roles and responsibilities
  • AI internal audit integration

Module 3: Ethical AI and Bias Mitigation

  • Core principles of AI ethics
  • Techniques to detect and reduce bias
  • Fairness audits in ML models
  • Embedding explainability in models
  • Transparency in AI outcomes
  • Stakeholder trust and communication

Module 4: AI Legal Compliance and Data Handling

  • Legal implications of automated decisions
  • Cross-border data regulations
  • Managing GDPR and other privacy laws
  • Consent and data collection in AI
  • Liability and accountability in AI usage
  • Legal audit of training datasets

Module 5: Third-Party AI Vendor Risk Management

  • Vendor selection and evaluation checklist
  • Due diligence on AI capabilities and practices
  • Contractual clauses for AI responsibility
  • Risk transfer and insurance considerations
  • Monitoring vendor AI updates and models
  • Exit strategy and model migration

Module 6: Building Sustainable AI Compliance Culture

  • Training programs for AI compliance awareness
  • Governance boards and escalation paths
  • Reporting channels for ethical concerns
  • Compliance KPIs and metrics
  • Integrating AI risk into enterprise GRC
  • Culture of responsible innovation

Exam Domains:

  1. Fundamentals of AI Governance
  2. Regulatory and Legal Requirements
  3. Risk Assessment and Control Mapping
  4. AI Ethics and Fairness Principles
  5. Cross-Functional Governance Strategy
  6. Compliance Monitoring and Reporting

Course Delivery:
The course is delivered through a combination of lectures, interactive discussions, and project-based learning, facilitated by experts in the field of AI governance. Participants will have access to online resources, including readings, case studies, and tools for practical exercises.

Assessment and Certification:
Participants will be assessed through quizzes, assignments, and a capstone project. Upon successful completion of the course, participants will receive a certificate in Certified AI Governance Risk and Compliance Analyst (CAIGRC).

Question Types:

  • Multiple Choice Questions (MCQs)
  • True/False Statements
  • Scenario-based Questions
  • Fill in the Blank Questions
  • Matching Questions (Matching concepts or terms with definitions)
  • Short Answer Questions

Passing Criteria:
To pass the Certified AI Governance Risk and Compliance Analyst (CAIGRC) Certification Training exam, candidates must achieve a score of 70% or higher.

Ready to lead AI with confidence and compliance?
Enroll in the CAIGRC Certification Program today.

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