AI Governance, Risk & Security Masterclass 2026

100% HRD CLAIMABLE

Date: 2 November 2026 | Sheraton Imperial Hotel Kuala Lumpur

As organisations accelerate the adoption of artificial intelligence, effective governance can no longer remain limited to policies and principles. Leaders need practical controls to understand where AI is being used, what data it interacts with, who is accountable for its outcomes, and whether AI-related decisions can withstand regulatory, board and public scrutiny.

This one day executive masterclass provides practical frameworks for governing AI securely, responsibly and confidently. Through real-world scenarios and applied decision exercises, participants will learn to assess AI risks, establish clear governance boundaries, strengthen security and data controls, evaluate AI-enabled vendors, and make defensible decisions without unnecessarily slowing innovation.

Workshop

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AI Governance

Programme Overview

AI governance is no longer simply a matter of developing policies and principles. As organisations rapidly adopt enterprise AI tools, embedded AI features and AI-enabled workflows, leaders must understand where AI is being used, what data it interacts with, who owns the outcomes, and what controls are required to manage risk effectively.

By the end of the programme, participants will be better equipped to evaluate AI use cases, establish proportionate controls and make confident, well-supported decisions that enable responsible AI adoption without unnecessarily slowing innovation.

WHY YOU SHOULD ATTEND

Key Learning Outcomes

Move AI Governance Beyond Policy

Develop practical governance structures that provide clear visibility, ownership, accountability and decision-making authority.

Identify and Classify AI Risks

Distinguish lower-risk AI productivity tools from higher-risk applications involving sensitive data, customer impact or operational reliance.

Strengthen AI Security and Data Controls

Understand how security architecture, access controls and data governance support the safe adoption of AI across the organisation.

Evaluate AI Vendors and Platforms

Assess the trust, resilience, accountability and evidence requirements of AI-enabled vendors, SaaS platforms and cloud services.

Make Defensible AI Decisions

Apply practical frameworks to make proportionate, well-supported decisions that can withstand scrutiny from boards, regulators, customers and the public.

topics covered:

  • AI Governance Beyond Policy | AI Risk Classification & Decision Boundaries | AI Security, Architecture & Data Controls | Vendor & Platform AI Assurance | Accountability & Governance Structures | Applied Decision Practice | Executive AI & Cyber-Risk Stress Test
  • Practical Takeaways: Governance frameworks | AI use-case classification | Proportionate risk controls | Vendor-assessment guidance | Real-world decision exercises | Defensible AI decision-making
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