SmartVista Fraud Management

Create a vendor selection project
Click to express your interest in this report
Indication of coverage against your requirements
A subscription is required to activate this feature. Contact us for more info.
Celent have reviewed this profile and believe it to be accurate.
We are waiting for the vendor to publish their solution profile. Contact us or request the RFX.
Projects allow you to export Registered Vendor details and survey responses for analysis outside of Marsh CND. Please refer to the Marsh CND User Guide for detailed instructions.
Download Registered Vendor Survey responses as PDF
Contact vendor directly with specific questions (ie. pricing, capacity, etc)


BPC’s SmartVista Fraud Management solution helps financial service providers prevent fraud across all channels, in real time. The solution provides real time transaction monitoring and allows performing behaviour profiling on any level – channel, customer, account, device, card, merchant etc., as well as score transactions against machine learning models.

It also provides enterprise-wide multichannel and omni-channel fraud monitoring for all types of payment methods. It simultaneously interfaces with multiple systems including card switch, e-commerce, digital banking, back-office, instant payment, merchant management. The analytics tool includes a robust business-driven rules engine for transaction scoring and applies behaviour profiling and machine learning techniques for fraud analytics and modelling.

A dashboard gives an operator real time insights into key statistics. When transactions are identified as fraudulent, the system operator can use the enterprise fraud management capability to handle these fraud cases. SmartVista Fraud Management supports alerts generation through multiple channels, including SMS or email or PUSH notifications.

Key Features

  • Multi- and omni-channel
  • Business-driven rules
  • Rules pretesting on historic data
  • Statistics profiling defined by user
  • Machine learning models for scoring
  • Machine learning models can be built by end user via UI
  • Multiple validation modes
  • Solution flexibility
  • White/black/fraud lists management
  • Case Management
  • Data on monitored entities management
  • Report generation
  • SMS and email notifications
  • Visual analytics tools
  • Multi-node for horizontal scalability
  • Multi-institution
  • PA DSS compliant
  • 3DS2 and PSD2 support

Key Benefits

  • Platform for fraud and risk management
  • Flexible data model: new transaction parameters can be configured
  • Interfaces with external systems are setup via UI
  • Configurability: rules, lists, behavior profiles, case management parameters are managed by end user
  • Machine learning models for transaction scoring and datasets are fully managed by customer
  • Case Management as part of the solution provides omni-channel capabilities with customization options (look & feel) via UI
  • Delivery: on premise or as a service
  • Deployment: different hardware platforms, application servers (Weblogic, Tomcat, Websphere Liberty) and DB servers (Oracle, PostgreSQL)
  • Non functional: high performance in online
  • Product development: addressing customer requests fast through agile development cycle and dedicated product team

Product/Service details