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AI Adoption Is Accelerating. Governance Must Keep Up.

Govern AI Responsibly. Protect Your Organization Confidently.

Build practical frameworks to manage AI risks, ensure regulatory compliance, and establish responsible AI governance that empowers innovation while protecting your business from operational, legal, and reputational risks.

2-Day Training

HRDC Claimable

Responsible AI for Corporate Governance, Risk & Compliance

IS YOUR TEAM FACING THESE CHALLENGES?

AI Adoption Is Outpacing Governance

Organizations are deploying AI tools faster than they can establish the policies, controls, and accountability needed to manage them safely.

AI Regulations Keep Evolving

Keeping up with frameworks such as the EU AI Act, NIST AI RMF, and Malaysia's AI governance guidelines has become increasingly challenging.

Hidden AI Risks Go Unnoticed

Bias, hallucinations, data leakage, cybersecurity threats, and third-party AI dependencies can introduce significant business and compliance risks.

Governance Responsibilities Are Unclear

Many organizations struggle to define ownership, accountability, and decision-making responsibilities for AI initiatives across business functions.

Vendor AI Risks Are Increasing

Organizations increasingly rely on third-party AI solutions without fully understanding the associated operational, legal, and supply chain risks.

Innovation Must Balance Compliance

Business leaders need practical governance models that encourage AI innovation while meeting regulatory, ethical, and corporate governance requirements.

Responsible AI for Corporate Governance, Risk & Compliance

RM 1,040

Normal price: RM 3,200

  • 2-day Instructor-led training

  • Hands-on practical sessions

  • HRDC claimable

  • Only 22 seats are available

  • First come, first served

  • Registration closes on 24th August 2026

  • Date: 3 - 4 September

  • Mode: Physical (GemRain Premises)

  • Bring your own laptop

WHAT YOU WILL LEARN

Build Responsible AI Governance

Learn how to design enterprise AI governance models, define ownership structures, and establish governance frameworks that support responsible AI adoption.

Assess AI Risks and Compliance

Identify AI-related risks including bias, hallucinations, explainability, cybersecurity, privacy, and vendor risks while aligning with international governance standards.

Develop AI Policies and Controls

Create practical AI policies, governance controls, audit checklists, and responsible AI guidelines suitable for regulated organizations.

Lead AI Governance with Confidence

Build governance strategies that balance innovation, compliance, operational efficiency, and business objectives across the AI lifecycle.


AFTER ATTENDING THIS TRAINING, PARTICIPANTS WILL BE ABLE TO

  • Assess AI risks across business operations.

  • Build enterprise AI governance frameworks.

  • Develop responsible AI policies and control measures.

  • Evaluate AI vendors and third-party AI risks.

  • Align AI initiatives with global regulatory frameworks.

  • Lead responsible AI adoption with confidence.

BEFORE vs AFTER

BEFORE


AFTER

Uncontrolled AI usage

➡️

Responsible AI governance

Unclear compliance obligations

➡️

Regulatory readiness

Reactive AI risk management

➡️

Proactive governance controls

Undefined governance ownership

➡️

Clear accountability framework

Unassessed AI vendors

➡️

Structured vendor risk management

Innovation without oversight

➡️

Responsible AI adoption


Payment method
Self-funded
HRDC grant
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