Fraud & Risk Management System
Real-time transaction monitoring and fraud prevention engineered for the throughput and regulatory demands of Indian banks and NBFCs.
A purpose-built fraud intelligence layer for financial institutions
Vurico FRMS is a high-performance fraud and risk management platform designed from the ground up for the Indian financial ecosystem. Unlike generic fraud tools, FRMS understands the nuances of UPI, IMPS, NEFT, and RTGS transaction patterns — and applies machine learning models trained on Indian banking data.
Deployed as an inline decisioning engine, FRMS evaluates every transaction in under 10 milliseconds, enabling banks to block fraud before settlement without impacting customer experience or throughput.
Everything your risk team needs, out of the box
Real-Time Decisioning
Sub-10ms inline scoring on every transaction. No batch processing, no delayed alerts — fraud is blocked before it settles.
< 10ms latencyML-Powered Scoring
Ensemble models combining gradient boosting, neural networks, and rule-based logic. Models retrain automatically on your institution's transaction history.
Adaptive MLRBI-Compliant Rule Engine
500+ pre-built rules aligned with RBI Master Directions on Fraud Risk Management. Fully auditable rule lifecycle with version control.
RBI MD 2024Device & Behavioural Intelligence
Device fingerprinting, geo-velocity checks, typing cadence analysis, and session anomaly detection across all digital channels.
Multi-signalAccount Takeover Prevention
Detects credential stuffing, SIM swap fraud, and social engineering patterns. Integrates with your existing IAM and OTP infrastructure.
ATO ShieldCase Management & Reporting
Integrated investigator workbench with case queues, evidence capture, SAR filing templates, and FIU-IND reporting workflows.
FIU-IND ReadyBuilt for bank-grade scale and resilience
Ingestion Layer
Kafka-based event streaming with guaranteed delivery. Supports 10M+ TPS peak ingestion from core banking, UPI switch, and digital channels.
- Apache Kafka 3.x
- 10M+ TPS ingestion
- < 2ms p99 ingestion latency
Scoring Engine
Stateless microservices deployed on Kubernetes. Horizontal auto-scaling ensures consistent latency under peak load.
- Kubernetes-native
- Stateless microservices
- Auto-scaling on load
Feature Store
Real-time and batch feature computation. Pre-computed aggregates for velocity checks, peer-group comparisons, and historical patterns.
- Redis + ClickHouse
- Real-time aggregates
- 180-day lookback window
Model Registry
MLflow-based model versioning with A/B testing, shadow mode deployment, and automated champion-challenger evaluation.
- MLflow registry
- Shadow mode testing
- Automated retraining
Designed for India's regulatory landscape
RBI Master Directions on Fraud Risk Management (2024)
Full alignment with the latest RBI circular on fraud risk management frameworks, including Early Warning Signals and Central Fraud Registry integration.
NPCI UPI Fraud Monitoring Framework
Native integration with NPCI's fraud monitoring APIs. Supports real-time dispute resolution and chargeback automation for UPI transactions.
PCI DSS Level 1 Certified
Annual QSA audit. All cardholder data encrypted at rest (AES-256) and in transit (TLS 1.3). Tokenisation support for card-not-present transactions.
ISO 27001:2022 Information Security
Certified ISMS covering all FRMS components. Penetration testing conducted bi-annually by CERT-In empanelled agencies.
Deployed across the financial spectrum
Challenge
High UPI transaction volumes with legacy fraud detection causing false positives and customer friction.
Outcome
60% reduction in false positives, 40% improvement in fraud catch rate within 90 days of deployment.
Challenge
Account takeover fraud via SIM swap and social engineering targeting HNI customers.
Outcome
ATO incidents reduced by 85%. Real-time SIM swap detection integrated with telecom APIs.
Challenge
Loan disbursement fraud and synthetic identity attacks on digital lending platforms.
Outcome
Synthetic identity fraud blocked at origination. Disbursement fraud losses reduced by 70%.
Ready to see FRMS in action?
Schedule a technical walkthrough with our fraud risk specialists. We'll demonstrate FRMS on a sandbox environment loaded with anonymised transaction data.