Argent
Every trade and message scored for misconduct patterns, so compliance reviews the few that matter instead of drowning in false alerts.
The problem
A legacy surveillance system fired thousands of alerts a day on simple rules, and almost all of them were noise. Analysts spent their time clearing false positives, which is exactly where attention runs out.
The patterns that actually mattered spanned trades, orders, and messages at once. A tool that looked at each in isolation could miss the link between them.
What we built
Argent scores each alert for how closely it matches a misconduct pattern, connects the related trades, orders, communications, and accounts, and reconstructs the sequence of events. Analysts open a case that is already assembled.
- •Alerts ranked by a composite score instead of a flat rule, so review starts where the risk is
- •Case files that link the trades, orders, messages, and accounts behind an alert
- •A reconstructed timeline of what happened, in order, across systems
- •A relationship graph that makes the connections visible at a glance
- •Program view of alert volume and patterns by desk and scenario
A closer look
How it works
The system scores alerts, links the related activity, and lays out the timeline. Weak signals are set aside so they do not bury the strong ones.
AI does the scoring and the reconstruction. The analyst reviews the case and decides whether to clear or escalate. Every action is logged with the evidence attached.
The outcome
Analysts spend their time on the alerts that hold a real pattern, not on clearing noise.
Cases arrive assembled, with the trades, messages, and timeline already connected.
The program can show what it reviewed and why, which is what regulators ask for.
Ready when you are
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