Detect and redact personally identifiable information using Amazon Bedrock Data Automation and Guardrails

Organizations handle vast amounts of sensitive customer information through various communication channels. Protecting Personally Identifiable Information (PII), such as social security numbers (SSNs), driver’s license numbers, and phone numbers has become increasingly critical for maintaining compliance with data privacy regulations and building customer trust. However, manually reviewing and redacting PII is time-consuming, error-prone, and scales poorly as data volumes grow.

Organizations face challenges when dealing with PII scattered across different content types – from texts to images. Traditional approaches often require separate tools and workflows for handling text and image content, leading to inconsistent redaction practices and potential security gaps. This fragmented approach not only increases operational overhead but also raises the risk of accidental PII exposure.

This post shows an automated PII detection and redaction solution using Amazon Bedrock Data Automation and Amazon Bedrock Guardrails through a use case of processing text and image content in high volumes of ...