ING, a global financial institution, has developed a machine learning solution built on top of its existing data leakage prevention (DLP) cybersecurity tooling to better process and prioritize alerts related to potential data leaks across multilingual email attachments, web uploads and metadata. Solution: The implementation provides a reproducible workflow that can be extended to other organizations to process multilingual email attachments, web uploads and metadata. ING uses an AI model to categorize related email attachments and combines it with a classification model to prioritize and identify potential leaks. ING has also implemented a “browser uploads” production pipeline that provides SOC analysts with very-near-real-time insights via easy-to-read dashboards, enabling them to handle issues promptly as they seek to protect more than 60,000 employees globally.