When your document repository contains hundreds of millions of files accumulated over nearly a decade, how do you systematically find and redact sensitive customer data without taking years to complete? This was the challenge facing The Huntington National Bank (Huntington), a top 10 bank in the United States.

Redacting sensitive information at scale

Since 2015, Huntington’s document management system has securely stored hundreds of millions of documents on-premises. In 2025, as part of a proactive compliance initiative, Huntington set out to process the documents in this system and redact sensitive data. These documents come in different formats, so the solution needed flexibility to handle varied file types while delivering the throughput required to process millions of documents quickly.

Original estimates indicated this effort would take years. However, by designing a scalable redaction workflow using Amazon Textract, Amazon SageMaker, AWS Step Functions, and AWS Lambda, Huntington reduced this timeline to months.

Solution overview