Continuous auditing has been discussed in the profession for decades. Yet for many organizations, it remained more aspiration than reality due to limitations in data access, technology, analytics, and the effort required to monitor risks continuously.

Today, those barriers are rapidly disappearing.

Advances in cloud data platforms, automation, artificial intelligence, machine learning, and modern analytics have created a new generation of capabilities that make intelligent continuous auditing achievable at scale. Internal audit functions can now move beyond periodic, sample-based testing toward ongoing risk monitoring, full-population analysis, automated control testing, and AI-assisted risk detection.

This session explores how Internal Audit can evolve from a retrospective assurance model to a proactive, intelligence-driven function. Attendees will learn how modern technologies enable real-time visibility into risk, how audit teams can develop intelligent continuous audit systems, and how leading practices are reshaping assurance, risk assessment, and audit planning.