Multi-Asset Coverage
Modern markets are complex, involving equities, fixed income, derivatives, and cryptocurrencies. An effective surveillance system must be "asset-class agnostic," capable of ingesting and analyzing data formats across these varied instruments without gaps in coverage.
Advanced Alerting and False-Positive Reduction
One of the biggest pain points in surveillance is "alert fatigue." Look for tools that utilize machine learning (ML) and behavioral analytics to prioritize alerts. The software should be able to filter out routine, low-risk activities, allowing compliance officers to focus on high-priority investigations.
Integrated Communications Surveillance
Trading often happens alongside communication. Modern platforms must correlate trade data with communications (emails, chats, voice recordings, and video). Leading providers like Smarsh and Theta Lake excel at capturing electronic communications, while comprehensive suites like Bloomberg Surveillance provide deep integration between market data and messaging.
Reporting and Audit Trails
The ability to generate regulatory reports (such as suspicious activity reports or SARs) automatically is critical. The system must maintain a granular, immutable audit trail of every alert generated, the investigation process, and the final resolution to satisfy potential regulatory examinations.