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Huntington Bank uses AWS AI to redact sensitive data from 400M+ documents

Huntington Bank has successfully implemented a large-scale data redaction system to identify and remove sensitive customer information from over 400 million documents. By leveraging a combination of AWS services including Amazon Textract for data detection and Amazon SageMaker for machine learning, the bank significantly reduced a multi-year project timeline to just a few months. This solution ensures data security and compliance with stringent requirements like PCI DSS, while also replicating processed data back to on-premises storage. AI

IMPACT Demonstrates how AI services can accelerate complex data processing and compliance initiatives for large financial institutions.

RANK_REASON Article describes the implementation of an AI-powered solution for a specific business problem, rather than a new AI model release or core research.

Read on AWS Machine Learning Blog →

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Huntington Bank uses AWS AI to redact sensitive data from 400M+ documents

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  1. AWS Machine Learning Blog TIER_1 English(EN) · Rob Carnell ·

    Huntington Bank: Redacting sensitive data from 400M+ documents with AWS

    In this post, we walk through how Huntington built a scalable AWS solution to detect and redact Personally Identifiable Information (PII) and Payment Card Industry (PCI) data from over 400 million documents, reducing processing time from years to just a few months while achieving…