Governing AI: Building trust, managing risk, and staying compliant

AI adoption is accelerating across every industry, but innovation without governance introduces new risks. From sensitive data being shared with public AI tools to evolving regulatory requirements, organisations must ensure AI is being deployed responsibly, securely and with appropriate oversight.
 
In this webinar, Brian Martin is joined by Seán Brennan, CRA Practice Manager, Integrity360, to explore how organisations can confidently adopt AI while managing governance, risk and compliance.
 
Drawing on emerging frameworks including ISO/IEC 42001, the NIST AI Risk Management Framework, and the EU AI Act, this session will provide practical guidance on establishing governance for both internally developed AI solutions and the use of public AI platforms. Attendees will gain insight into managing AI-related risks, protecting sensitive information, meeting emerging regulatory expectations, and creating a framework that enables innovation without compromising security or compliance.
 
Join us for a practical discussion on how to build effective AI governance that balances innovation with trust, accountability and risk management.

What you will learn:

• Why AI governance has become a business and regulatory priority

• The key risks organisations face as AI adoption accelerates

• How ISO/IEC 42001 provides a framework for governing AI responsibly

• The role of the NIST AI Risk Management Framework in managing AI risk

• What the EU AI Act means for organisations developing or using AI

• How to reduce the risk of data leakage and inappropriate AI use

• Practical steps for governing both enterprise AI initiatives and public AI tools

• How to balance AI innovation with security, compliance and organisational trust