How to Govern AI Without Slowing Down Innovation
Enterprise AI adoption is accelerating, often without IT’s approval. Employees are experimenting with AI tools long before governance frameworks can catch up, introducing new security, compliance and operational risks. Shadow AI, however, need not be a stumbling block. With the right blend of governance, visibility and technical controls, it can serve as the foundation for responsible AI adoption across the organisation.
Speakers:
Tarun Samtani - Senior Director, Data & AI Governance, Org Advisory | Council Member - AI Safety, Ethics & Governance, Singapore AI Association
(https://www.linkedin.com/in/tsamtani/)
Nithish Rajan - Airia - Head of Solutions, Singapore
Join experts from Org and Airia as they discuss how leading organisations are moving beyond static AI policies to implement practical governance that enables innovation while managing risk. This interactive panel brings together diverse perspectives, from governance strategy to technical enablement, to help you navigate Shadow AI with confidence. You’ll learn how to uncover Shadow AI activity, assess risk, design adaptive governance policies and embed them through technical controls and organisational change. Whether your remit is security, risk, compliance or AI strategy, you’ll leave with a practical framework for governing AI without slowing the business.
Learning outcomes
Identify where AI is already being used across your organisation.
Understand the real risks posed by Shadow AI and which ones matter most.
Create governance policies that evolve alongside new AI technologies and business use cases.
Align security, legal, compliance and business stakeholders around a shared governance approach.
Translate governance into technical controls that enable safe, scalable AI adoption.
Drive AI innovation while safeguarding trust, compliance and security