Building AI for Regulated Industries: From “Certified Code” to “Governed Systems”

AI agents change how software behaves, shifting from deterministic, one-time-certified builds to live systems that plan, decide, and act on their own. For regulated industries, that breaks the certification model: you can’t freeze a system that doesn’t hold still. This session lays out the infrastructure required to govern agents at scale: policy gateways, identity, tracing, and continuous assurance loops that replace static approval with bounded, evidence-generating change. It then extends that same discipline to multi-agent workflows, where authority and audit trails must survive every agent-to-agent handoff. Drawing on regulatory precedent from the FDA, the EU AI Act, and financial model risk management, plus a gaming-specific lens on where AI can and cannot touch a certified outcome, attendees will leave with a practical governance stack they can start building immediately.