Every card swipe carries a story where the customer is, who the merchant is, what they usually buy, and whether the transaction aligns with their normal behavior or signals potential risk. Banks see millions of these moments every second. Yet many of them pass through fragmented systems where transaction data, fraud signals, and merchant intelligence live in isolation. When real-time decisions depend on batch pipelines and partial context, banks are forced to choose between protecting customers and approving transactions that drive revenue.
That tension is what led zeb to design a real-time Cards & Payment solution on the Databricks Data Intelligence Platform, bringing sub-millisecond fraud scoring, dynamic authorization, and network-wide merchant risk intelligence into a single governed Lakehouse foundation.
A unified foundation for cards, merchants, and authorization intelligence
The solution consolidates authorization and transaction data from card networks, POS systems, digital wallets, and fraud platforms into a Medallion architecture using Delta Live Tables. Data is cleansed, deduplicated, and enriched with merchant profiles, cardholder context, and historical spend patterns, creating a governed Silver layer accessible during live authorization.
This unified foundation ensures that fraud models, authorization engines, and analytics teams work from the same consistent data, enabling real-time decisions backed by historical context rather than isolated signals.
Sub-millisecond fraud scoring with historical context
Real-time fraud prevention requires more than static rules. The solution deploys MLflow-managed models through Databricks Model Serving that evaluate each transaction during authorization using cardholder behavior, merchant reputation, geographic context, and MCC patterns.
These models prevent 30–50% of card-present and card-not-present fraud while declining only 2–5% of legitimate transactions, protecting customers and issuers without introducing unnecessary friction.
Dynamic authorization & personalized limits
- Live Spend-Aware Limit Adjustment: Cardholder limits automatically adapt based on current spend behavior and trusted merchant history, reducing unnecessary declines.
- Contextual Authorization Friction: Additional verification is introduced only when risk signals warrant it, preserving smooth experiences for trusted transactions.
- Approval Rate Uplift: Real-time decisioning increases approval rates by 8–15%, driving incremental transaction volume without weakening controls.
Network-wide merchant risk intelligence
- Merchant Risk Profiles: Granular risk scoring across acquirers, MCCs, and individual merchants using Feature Store and SQL Warehouses.
- Portfolio-Level Risk Management: Enables dynamic pricing, risk-based onboarding, and targeted monitoring.
- Loss Reserve Optimization: Reduces acquirer loss reserves by 15–25% through clearer visibility into merchant risk exposure.
Conversational fraud investigation and insights
Databricks AI/Genie and Vector Search enable investigators and risk teams to explore fraud patterns using natural-language queries. Teams can search historical cases, analyze merchant behavior, and surface emerging risk clusters without switching between tools or writing SQL.
Dashboards built on Databricks SQL provide real-time views of fraud trends, merchant risk, and authorization performance across networks.
What sets this solution apart
This solution embeds predictive intelligence directly into the authorization path with sub-millisecond latency, transforming Lakehouse from a reporting environment into a real-time decisioning engine. A single governed feature set supports both personalization and risk management, allowing banks to increase approval rates while reducing fraud exposure. Built with Unity Catalog governance and production-grade ML infrastructure, the platform supports millions of transactions daily with full lineage, access control, and auditability.
A scenario in practice
A large card network faced rising fraud losses alongside increasing false declines due to fragmented real-time data and rule-based controls. After implementing zeb’s Cards & Payment Intelligence solution on Databricks:
- fraud losses declined by up to 50%
- approval rates increased by double digits
- merchant risk became visible at network scale
- acquirer loss reserves were materially reduced
- investigators gained faster access to actionable insights
Final thoughts
zeb’s Cards & Payment Intelligence solution provides banks and networks with a governed, scalable foundation for real-time fraud prevention, dynamic authorization, and personalized card experiences. Built on the Databricks Data Intelligence Platform, it enables institutions to drive growth through better approvals while maintaining precise risk controls.
As a trusted Databricks partner, zeb designs and implements real-time cards and payment platforms that integrate seamlessly into existing authorization ecosystems and scale with transaction growth.
+1 732 737 9188
sales@zeb.co