As AI adoption accelerates across regulated industries, governance is shifting from voluntary best practice to a regulatory mandate. The EU AI Act introduces a risk-based framework that requires organizations to classify, control, and continuously monitor AI systems, while the UK’s evolving approach emphasizes outcome-driven accountability.

This webinar explores how enterprises can operationalize AI governance across these landscapes using PRISM’s security and assurance architecture. It will demonstrate how organizations can move from policy to proof—embedding security within AI models, continuously validating risk, and generating audit-ready evidence. Attendees will gain a practitioner-led understanding of how to align AI innovation with regulatory expectations while maintaining speed, trust, and control.