Artificial Intelligence is rapidly reshaping how organizations manage governance, risk, and compliance (GRC). From predictive risk engines and generative reporting tools to emerging agentic AI systems, enterprises now face both transformative opportunities and complex oversight challenges. The Responsible AI for Corporate Governance, Risk & Compliance course equips professionals with structured frameworks to evaluate, control, and govern AI adoption responsibly.
This 2-day instructor-led program begins by clarifying AI paradigms relevant to GRC functions—Predictive AI, Generative AI, and Agentic AI. Participants explore how each model type impacts enterprise processes, regulatory exposure, and internal control design across the AI lifecycle.
A strong focus is placed on regulatory and policy frameworks. Participants analyze and interpret:
NIST AI Risk Management Framework (AI RMF)
EU AI Act implications for enterprise adoption
Malaysia National AI Governance & Ethics Guidelines (AIGE)
PDPA and privacy risks related to training data
The course addresses critical AI-specific risk exposures, including algorithmic bias, explainability limitations, hallucinations in GenAI outputs, cybersecurity vulnerabilities such as prompt injection and model inversion, and sustainability considerations linked to large-scale AI infrastructure.
Participants learn to design structured mitigation mechanisms, including:
Human-in-the-loop governance controls
Risk-based AI tool vetting and vendor assessment
Alignment of AI adoption with enterprise risk tolerance
Integration of AI risk categories into existing risk registers
Day 2 expands into governance ownership models and strategic oversight. Participants examine AI supply chain risks, third-party exposure, geopolitical dependencies, and the macroeconomic impact of AI infrastructure. Practical sessions guide participants in designing RACI matrices, governance KPIs, AI usage policies, audit checklists, and control frameworks integrated into GRC operating models.
The course concludes with forward-looking insights into AI assurance standards, ISO 42001 considerations, workforce capability shifts, and building a future-ready GRC roadmap.
By the end of the program, participants will be able to:
Evaluate AI risks across governance and compliance domains
Apply global and Malaysian AI regulatory frameworks
Design enterprise AI governance structures
Develop responsible AI policies and control mechanisms
Balance innovation with accountability in AI adoption
Frequently Asked Questions
Is this course HRDC claimable?
Yes. This course is HRDC claimable subject to approval and compliance with HRD Corp requirements. Organizations may apply for funding support according to HRDC guidelines.
Can this course be customized for our governance framework?
Yes. The course can be tailored to align with your organization’s internal control structure, risk registers, compliance policies, and AI adoption strategy.
Does this course cover NIST AI RMF, EU AI Act, and Malaysia AIGE?
Yes. Participants analyze key regulatory frameworks including NIST AI RMF, EU AI Act, Malaysia AIGE guidelines, and PDPA implications for AI governance.
Will I learn how to assess AI-related risks like bias and hallucinations?
Yes. The course covers structured risk assessment of bias, explainability gaps, hallucination risks, cybersecurity vulnerabilities, and supply chain exposure.
Is this course suitable for audit and compliance professionals?
Yes. The course is specifically designed for risk, compliance, audit, IT governance professionals, and executives overseeing AI-driven digital transformation.