SageMaker JumpStart offers OpenAI PII detection and masking model
Amazon SageMaker JumpStart now provides a privacy-filter model from OpenAI for detecting and masking personally identifiable information (PII) in text. This feature allows AWS customers to build data sanitization workflows on AWS infrastructure, making it easier to comply with privacy regulations. The model is readily deployable via SageMaker Studio or the Python SDK for various AI use cases.
- →OpenAI PII detection and masking model available in SageMaker JumpStart
- →Easy deployment via SageMaker Studio and SDK
- →Fast, context-aware, and tunable PII filtering
Features (2) ›
- OpenAI PII detection and masking model available in SageMaker JumpStart
Amazon SageMaker JumpStart now offers a privacy-filter model from OpenAI. This bidirectional token-classification model detects and masks PII like account numbers, addresses, and names in text, enabling data sanitization workflows.
- Easy deployment via SageMaker Studio and SDK
Customers can deploy this PII detection and masking model with a few clicks through SageMaker Studio or by using the SageMaker Python SDK. This simplifies the integration into existing AWS infrastructure for AI use cases.
Enhancements (1) ›
- Fast, context-aware, and tunable PII filtering
The privacy-filter model is designed for high-throughput data sanitization, operating with speed, context awareness, and tunability. It labels PII span categories in a single forward pass.
https://aws.amazon.com/about-aws/whats-new/2026/07/privacy-filter-on-sagemaker-jumpstart/
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