Real-Time Fraud Detection for Financial Services on AWS
Noventiq Europe · Cybersecurity & IT
Certification per AWS Marketplace.
Evidence tier Source Confirmed · 4 captures on record
What the publisher says
As described on AWS Marketplace.
**The Challenge**
Financial services organizations face intensifying pressures: escalating fraud ($33.83B in global card fraud losses in 2023), stricter regulations (Basel III, GDPR, AMLD, PSD2), rising mainframe costs, and customer expectations for digital-first experiences. Batch reporting and fragmented systems slow fraud response and make compliance harder to manage.
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**Solution Overview**
Real-Time Fraud Detection for Financial Services on AWS provides a unified streaming data platform that processes events as they happen—supporting low-latency analytics, ML, and event-driven workflows for fraud detection, compliance monitoring, and customer engagement.
How it works:
Ingest — Transaction events from core banking, payments, card networks, digital channels, and CRM systems flow into Amazon MSK or Kinesis Data Streams in real time.
Process — Ververica's Unified Streaming Data Platform (Apache Flink®) performs stateful complex event processing, enrichment joins, and anomaly detection at sub-second latency.
Score — Amazon SageMaker real-time inference endpoints apply ML-based fraud probability scoring; Feature Store manages online/offline features for model consistency.
Act — Fraud/AML decision events route through Amazon EventBridge and SNS to case management for analyst triage; proactive alerts minimize financial loss.
Report — Curated datasets flow to Amazon Redshift and QuickSight for regulatory dashboards and compliance reporting.
Audit — All events persist to Amazon S3 for immutable audit trails, replay, and model retraining.
**Key Business Outcomes**
- Sub-second fraud detection — p95 latency < 1s from ingestion to alert
- 80–90% mainframe cost reduction — Offload legacy MIPS batch workloads to streaming
- 10–20% customer engagement uplift — Real-time Customer 360 for personalization and next-best-action
- Automated compliance — Continuous monitoring for Basel III, GDPR, AMLD, PSD2, SOX
- 99.9% platform availability — Multi-AZ enterprise-grade resilience
**Use Cases**
- Real-time fraud & AML detection — Detect abnormal behavior, trigger proactive alerts, minimize loss
- Regulatory compliance automation — Continuous aggregation of liquidity/risk metrics with automated reporting
- Customer 360 & personalization — Rolling customer profiles from streaming behavioral data
- Mainframe offloading — Migrate batch processes via CDC into event-driven streaming
**AWS Services Used**
Transport: Amazon MSK, Kinesis Data Streams, AWS DMS (CDC)
Processing: Ververica Unified Streaming Data Platform (Apache Flink®) on Amazon EKS
Storage & Analytics: Amazon S3, AWS Glue, Amazon Redshift, DynamoDB, OpenSearch
AI/ML: Amazon SageMaker (training, endpoints, Feature Store), Amazon Bedrock (GenAI)
Integration: Amazon EventBridge, AWS Lambda, SNS/SQS, API Gateway
Security: AWS IAM, KMS, WAF, VPC, GuardDuty, Macie, CloudTrail, Config, Audit Manager
Visualization: Amazon QuickSight
**Deployment Options**
- Ververica Platform (VVP) — Self-managed on Amazon EKS for full control and data sovereignty
- Ververica Cloud BYOC — SaaS with data in the customer's own AWS account
- Ververica Cloud (VVC) — Fully managed SaaS for rapid time-to-value
**Security & Compliance**
- End-to-end encryption (in transit and at rest) via TLS and KMS
- Role-based access control with IAM, MFA, and SSO/RBAC
- Immutable audit logging via CloudTrail and Audit Manager
- Aligned to GDPR, SOC 2, ISO 27001, PCI DSS, Basel III/IV
**Why Noventiq + Ververica on AWS?**
Noventiq (AWS Premier Partner) brings cloud migration, AI/ML enablement, security expertise, and delivery governance with 250+ AWS certifications across Migration, Security, Data & Analytics, and AI Services.
Ververica (creators of Apache Flink®) contributes enterprise-grade streaming platform depth, professional services, and training—processing billions of transactions per day.
AWS provides financial-services-grade controls, global region coverage, and managed services underpinning the entire solution.
**Getting Started**
Start with a Use Case Workshop, then move into a funded pilot. Typical 12–18 month roadmap:
Phase 1 (Months 1–6): Foundation & Pilot — Infrastructure, Ververica integration, fraud/AML pipeline
Phase 2 (Months 7–12): Scale — Production rollout, Customer 360, cross-border monitoring
Phase 3 (Months 12–18): Expansion — Mainframe offloading, GenAI reporting, regional expansion
**Support**
- Ververica: Streaming platform operations, Flink SQL/CEP, performance tuning
- Noventiq: AWS infrastructure, AI/ML endpoints, security, banking integrations
- Joint governance: Single ticketing, SLAs (P1 24×7), monthly reviews
**Target Industries**
Banking · Insurance · Fintech · Payment Providers · Wealth Management · RegTech
Highlights
Highlighted by the publisher on AWS Marketplace.
Sub-second real-time fraud detection powered by Ververica's Unified Streaming Data Platform (Apache Flink®) and Amazon SageMaker ML scoring—processing billions of transactions per day with p95 latency under 1 second.
80–90% mainframe cost reduction by offloading legacy MIPS batch workloads to an event-driven streaming architecture built entirely on AWS-native services including Amazon MSK, Kinesis, Redshift, and QuickSight.
Automated regulatory compliance monitoring and reporting for Basel III, GDPR, AMLD, PSD2, and SOX—delivered jointly by Noventiq (AWS Premier Partner, 250+ certifications) and Ververica (creators of Apache Flink®).
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