AI in Trade Surveillance: Balancing Efficiency, Effectiveness, and Key Takeaways from IOSCO’s 2025 Review

Overview:

As financial markets continue to evolve in complexity, the pressure on surveillance teams to monitor risk across fragmented markets, high-velocity trading, and multi-asset environments has never been greater. The 2025 IOSCO Market Surveillance Review highlights both progress and persistent gaps in surveillance capabilities globally, while IOSCO’s latest AI Consultation Report signals a clear regulatory shift toward scrutinising how firms deploy Artificial Intelligence in market monitoring and risk detection.

This webinar will explore how leading firms across APAC are using AI to strike the balance between operational efficiency and regulatory effectiveness in trade and communications surveillance. Through industry insights and regional case studies, the session will focus on practical deployment strategies, regulatory expectations for explainability and governance, and emerging risks and opportunities at the intersection of surveillance and AI

Key Themes:

• “AI in surveillance is no longer a “future-state technology”—it’s here, and regulators are watching closely.”

• The Current State of Surveillance: Data, Fragmentation & AI Adoption

• Balancing Efficiency Gains with Risk Detection Effectiveness

• Regulatory Expectations: AI Model Governance and Explainability

• Build vs Buy vs Hybrid: Strategic Deployment Models

Objective:

To explore how financial institutions across the APAC region are practically and intelligently deploying AI in trade and communications surveillance, with a focus on balancing efficiency gains (cost, speed, scale) versus effectiveness (risk detection, accuracy, regulatory expectations) and regulatory readiness.