Responsible AI for Corporate Governance, Risk & Compliance is a strategic, instructor-led programme designed to help GRC professionals manage the opportunities and risks introduced by artificial intelligence. As AI systems become embedded in enterprise decision-making—from predictive analytics to generative tools and autonomous agents—organizations must strengthen governance structures to ensure accountability, transparency, and regulatory alignment.
AI introduces new categories of risk that traditional control frameworks may not fully address. These include algorithmic bias, explainability limitations, hallucinations in generative models, cybersecurity vulnerabilities, and systemic supply chain exposure. This course provides a structured approach to understanding these risks and integrating AI governance into existing enterprise risk management and compliance frameworks.
Over two days, participants explore three AI paradigms—Predictive, Generative, and Agentic—and examine how each impacts governance, risk oversight, and compliance obligations. The course incorporates emerging regulatory and policy frameworks, including NIST AI RMF, the EU AI Act, Malaysia’s AIGE guidelines, and PDPA requirements. Participants learn how to interpret these frameworks and translate them into practical control mechanisms and governance structures.
Training Duration: 2 Days
- Certificate Of Completion Available
- Group Private Class
- VILT Class Available
- HRD Corp SBL-Khas Claimable
Artificial Intelligence (AI) is transforming how corporate and enterprise functions approach governance, risk, and compliance (GRC). From automated decision engines and generative content tools to regulatory modelling and vendor risk management, AI introduces both unprecedented capabilities and complex oversight challenges.
This 2-day course equips professionals with a structured understanding of AI technologies—Predictive, Generative, and Agentic—and their operational impact on GRC. Participants will explore emerging regulatory frameworks such as the NIST AI RMF, EU AI Act, and Malaysia’s AIGE guidelines, alongside practical issues including hallucination, bias, data leakage, and supply chain exposure.
Through hands-on modules and real-world case studies, the course provides actionable frameworks for AI policy design, governance ownership, risk mitigation, and responsible tool adoption. By the end of the course, participants will be able to evaluate AI risks, implement control measures, and support enterprise-wide governance models that balance innovation with accountability.