Your Fraud Models Aren't Slow. Your Infrastructure Is.

A Playbook for Data and Risk Leaders: Fix Your Data Foundation, Accelerate Fraud Detection, Cut Compliance Costs.
Fraud schemes evolve daily. Fragmented transaction data — scattered across warehouses, lakes, and Hadoop clusters — means every new initiative starts with copying data again. More cost. More latency. A wider detection window.

This playbook demonstrates how leading financial institutions moved to a modern lakehouse architecture with a high performance data foundation that feeds fraud, AML, and risk pipelines directly — no sprawl, no duplication, no lock-in.

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Trusted by the World's Most Demanding Financial Institutions

Proven Results Across Financial Services

Financial institutions running fraud, risk, and analytics workloads on MinIO AIStor see immediate, measurable gains.
Real-Time Fraud Detection
Accelerate AI Fraud Models Without Changing Compute
65%
faster fraud-model runtime vs. Hadoop/HDFS — improved real-time AI fraud detection while reducing TCO
— National Payments Organization
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Transaction Analytics at Scale
Scale to Petabytes Without Sacrificing Query Performance
5x
higher analytics throughput — scaled to 1.5PB supporting 6,000+ daily queries across fraud and risk workloads
— Leading Payment Provider
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Regulatory SLA Compliance
Turn Compliance Deadline Risk into SLA Headroom
4+ hrs
reduction in daily risk analytics processing time — significantly lowering the risk of regulatory SLA breaches
— Global Financial Institution
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One Data Foundation for Every Financial Workload

Most financial institutions are running fraud detection, AML, risk modeling, and compliance reporting on separate, siloed systems—duplicating data at every step. MinIO AIStor consolidates transaction data onto a single, object-native platform that feeds all your analytics and AI engines directly.

Purpose-built for petabyte-scale financial workloads, AIStor delivers high performance without the sprawl, cost, or end-of-life risk of legacy architectures—and deploys in weeks, not months.
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Fraud Detection & AML — Feed fraud models and AML pipelines directly from a single data foundation—no pre-copy, no pipeline delays, no detection lag.
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Regulatory & Compliance Reporting — Predictable, high-throughput performance under SLA pressure—reduce processing time and eliminate compliance deadline risk.
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Identity Risk & Account Takeover Prevention — Consolidate cross-channel transaction signals to power identity risk and real-time account takeover models.
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Credit Risk Modeling — Support petabyte-scale feature engineering and model training without copying data across systems.
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100% S3 API Compatibility — No gateways, no translation penalties. Works natively with Spark, Iceberg, Trino, Flink, Dremio, and your existing AI/ML toolchain.
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2–3× More Usable Storage — Achieve equivalent or better performance at lower TCO—with approximately 40% fewer nodes and faster time-to-production.
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