The Trade Surveillance Revolution: Where Compliance, Technology and Market Intelligence Converge

Surveillance teams today face a high-stakes balancing act: they must reduce risk, process exploding data volumes and meet jurisdiction-specific regulations, all while operating on aging systems. This new research, built in collaboration with Datos Insights and including direct perspectives from 20 leading tier 1 banks and broker-dealers, examines how firms are modernizing their surveillance functions with AI, cross-asset correlation and adaptive data strategies.

If you’re struggling with alert overload, fragmented data or scaling surveillance across asset classes, this report offers a roadmap for transformation.

What You'll Learn

• Top surveillance priorities for the next 12–18 months: Cross-asset alerting, workforce reskilling, cloud migration and case management modernization.
  
  
• Where legacy models are breaking down: Why 70% of institutions report false positive rates above 25% and how that’s affecting performance.
  
  
• Which innovations are gaining traction: From API-enabled hybrid architectures to AI filtering and real-time data integration.
  
  
• What leaders are doing differently: How forward-leaning firms are turning surveillance from a regulatory requirement into a strategic advantage.
  
  
• Where critical surveillance gaps still exist: From inconsistent data validation and siloed systems to challenges in cross-jurisdiction compliance and fragmented reference data.