avatarharuki zaemon

Using Machine Learning to Help Detect Sensitive Information

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This project has enabled us to accurately classify a broad range of sensitive documents across the Adobe-wide SharePoint environment. In the future, we plan to grow this project by implementing more sophisticated ML models (such as BERT), continuing to expand our document categories, and extending our scanning capabilities to AWS S3 buckets and Azure storage blobs. We look forward to continuing our efforts in leveraging ML to help strengthen the security posture of our enterprise applications.