Advanced Auditable Model Back-testing
Prioritize what to detect
Control the sensitivity of ML detection models to receive alerts based on your compliance priority, reduce false positives and focus on what matters.
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Designed with regulators to ensure fulfillment of risk monitoring requirements and crypto licensing regimes, regardless of jurisdiction.
Out-of-the-box coverage of all common abuse typologies: From known schemes like wash-trading and spoofing to crypto-specific threats like cross-market manipulation.
Rule-based detection is augmented by ML-powered behavioral based analysis. Detects suspicious anomalies and learns over time.
No adaptation required for crypto trading systems, reducing operational overhead, analyst hours and false-positives.
Client controls detection model sensitivity, and can test changes with historical data in fully audited environment.
State-of-the art connectivity and infrastructure tailored for crypto allows integration and calibration within weeks.
Control the sensitivity of ML detection models to receive alerts based on your compliance priority, reduce false positives and focus on what matters.
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Explore the interaction between account and market events on a granular level.
Full order book reconstruction snapshot for context and orientation, alongside complete alert details with easy navigation to related accounts, alerts and cases.
System-generated plain English descriptions of each alert allow quick investigative orientation and launching and concluding investigations faster
Examine details of individual trade and transaction events that triggered a compliance alert; Replay events in order to reconstruct incidents.
Advanced alert visualization tools allow investigators to forensically examine each incident with utmost granularity, or utilize powerful contextual elements for the big picture.
Cut operational costs
Deploy within weeks
Satisfy reg requirements
