FraudAverse protects all your payment channels and instruments from fraud.
This includes payment cards, instant payments, mobile payments, online banking, crypto payments, SWIFT, wire payments, and acquiring.
FraudAverse supports all your financial crime use cases.
This includes payment fraud, AML-TM, KYC, onboarding, customer risk, sanctions, and internal fraud.
FraudAverse comes with all the tools and functions you need for efficient crime prevention.
Comprises library of pre-configured consortium configurations, ML/AI models, and rulesets. Gets you started quickly.
Served from a hyperscalers near you, your private cloud, or on-prem, FraudAverse adapts to any load through auto-scaling.
Container orchestration with redundancy for >99.99% availability. Horizontal scaling for >10,000 tps with <30ms latency.
No legacy. No retrofitting. AI-native architecture designed for modern financial crime prevention. Create complete solutions from prompts and data samples.
Flexible model generation across supervised and unsupervised approaches, leveraging best-in-class open-source and commercial tools.
Continuous performance monitoring with automatic adaptation to shifting fraud patterns. Models that never stand still.
Customers who achieve low fraud rates with minimal false positives recognize that success isn’t driven by a single 'hot tech' or 'breakthrough AI model.' Instead, superior outcomes come from the intelligent orchestration of key foundational functions. Below is an illustration of how the major FraudAverse functions work together processing real-time transaction data feeds (top row), and offline batch and analytical functions (bottom row):