Length: 2 Days

Certified AI Governance & Trust Officer (CAIGTO) Certification Program by Tonex

Transforming Business Ops with AI and ML Essentials

The CAIGTO Certification Program equips professionals with the essential frameworks, standards, and tools to govern AI systems responsibly. Built on global standards such as ISO/IEC 23894, ISO/IEC 20546, and the NIST AI Risk Management Framework, this program focuses on ensuring trust, transparency, and accountability in AI-driven environments. Participants will learn to evaluate risks, audit large language models (LLMs), and apply governance practices in sectors like healthcare, finance, and critical infrastructure.

The course addresses the rising cybersecurity concerns from opaque AI models and the vulnerabilities they introduce. Attendees will gain skills in risk traceability, explainability, and regulatory alignment. This certification prepares professionals to mitigate cyber threats, ensure secure AI deployments, and foster ethical AI development. It is ideal for those who need to balance innovation with compliance, while ensuring AI systems operate reliably and safely.

Audience:

  • Cybersecurity Professionals
  • Compliance Officers
  • AI Ethics and Governance Specialists
  • Risk Managers
  • Data Privacy Officers
  • IT Auditors

Learning Objectives:

  • Understand international AI governance standards
  • Implement traceable and auditable AI systems
  • Apply ethical AI principles in regulated sectors
  • Audit and monitor LLM behavior and outputs
  • Integrate AI into risk management frameworks
  • Assess AI’s role in cybersecurity environments

Program Modules:

Module 1: Foundations of AI Governance

  • Introduction to AI governance frameworks
  • ISO/IEC 23894 standard overview
  • Core AI principles: transparency, fairness, accountability
  • Stakeholder roles and responsibilities
  • Legal and ethical obligations
  • Mapping AI lifecycle to governance

Module 2: Standards and Frameworks

  • ISO/IEC 20546 on big data governance
  • NIST AI Risk Management Framework
  • Risk tiers and impact assessment
  • Data governance and AI accountability
  • Cross-sector regulatory compliance
  • Case study analysis

Module 3: Auditing AI and LLM Systems

  • Understanding LLM behavior and risks
  • Auditing AI decision pipelines
  • Explainability and interpretability methods
  • Bias detection and mitigation
  • Evaluation metrics and audit tools
  • AI assurance documentation

Module 4: AI Risk Monitoring and Traceability

  • Continuous risk assessment strategies
  • AI system traceability techniques
  • Event logging and provenance tracking
  • Incident detection and response integration
  • AI failure mode analysis
  • Regulatory reporting requirements

Module 5: AI in Critical Infrastructure

  • Role of AI in national critical sectors
  • Threat modeling in critical infrastructure
  • Safeguarding AI-controlled systems
  • Resilience engineering with AI
  • Securing supply chain AI systems
  • Risk posture and AI maturity modeling

Module 6: Building Trustworthy AI Programs

  • Ethical AI frameworks and implementation
  • Public trust and stakeholder engagement
  • Organizational governance strategies
  • Trust metrics and benchmarks
  • Secure-by-design AI development
  • Case studies on responsible AI deployment

Exam Domains:

  1. Principles of Ethical and Trustworthy AI
  2. Global Standards and Regulatory Compliance
  3. AI Risk Management and Security Controls
  4. LLM Governance and Oversight
  5. AI Governance in Operational Environments
  6. Organizational AI Policy and Strategy

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 application.

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 & Trust Officer (CAIGTO).

Question Types:

  • Multiple Choice Questions (MCQs)
  • Scenario-based Questions

Passing Criteria:
To pass the Certified AI Governance & Trust Officer (CAIGTO) Certification Training exam, candidates must achieve a score of 70% or higher.

Join the CAIGTO Certification Program to shape the future of ethical and secure AI. Gain practical skills in auditing and governance to lead AI initiatives confidently. Be the trusted voice in AI risk and compliance.

 

Request More Information