Platform
Transaction Monitoring
Analyses transactions against configurable rulesets and behavioural models to detect unusual patterns over time.
How it works
Transactions are analysed against configurable rulesets and behavioural models. Where a rule or model identifies an unusual pattern, the match is raised as an alert in the same queue as every other detection.
Rules are versioned. A change is tested against historical data before it is published, and a previous version can be restored if it produces unexpected results.
At a glance
- Detection
- Configurable rulesets and behavioural models
- Horizon
- Patterns over time, not single transactions
- Rule changes
- Versioned, tested against historical data
The rest of the platform
Every module raises its matches into the same queue.
Name ScreeningScreens customers and counterparties against sanctions lists, PEP registers and adverse media sources.Read moreTransaction FilteringScreens payments against sanctions lists before they are processed, and holds a matched payment for review.Read moreAdverse Media SearchSearches public news and media sources for negative coverage linked to a customer.Read moreClient Risk ScoringMaintains a risk score and risk tier for each customer, updated as new information arrives.Read moreDigital IdentityEvaluates device, session and login signals from customer-facing applications to detect account takeover.Read moreAlert ManagementReview, investigate and disposition every alert in one queue, with the evidence on the same screen.Read moreRegulatory ReportingGenerates reports in GoAML 5.02 format for submission to MROS.Read more
Request a demo
We will walk one alert from match to disposition, on the modules that matter to your institution. Bring your questions about thresholds, tuning and reporting.