Fraud prevention leaders, data infrastructure engineers, and financial services technology executives accountable for detection systems, data architecture, and compliance posture.
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Financial institutions lose over $190 billion annually to credit card fraud — the bottleneck is rarely the model, it's a data infrastructure that cannot ingest, store, and process transaction data fast enough.
A real-time, S3-compatible object storage foundation enables fraud models to run at scale across both cloud and on-premises environments without cost-prohibitive egress or latency penalties.
Compliance regulations now threaten up to 2% of revenue for non-compliance, making AI-ready, unified transaction data infrastructure both a fraud prevention and a regulatory imperative.
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