Microsoft Technology Licensing, LLC

Hassan Almandil

Meir Baruch Blachman

Sunil Kadam

Tomer Cherni

Nitzan Frogel

Amy Hariharan Dang

Yibing Chen

Mark-Gil Parayno

Automated and semi-automated document redaction technology is disclosed herein. In certain example embodiments, 'context-aware' redaction is provided. Automated techniques are used to identify a set of potentially sensitive item(s) within a document. The potentially sensitive item(s) are filtered based on contextual information, such an entity identifier (e.g. person identifier, person group identifier identifying a group of multiple people, organization identifier etc.), resulting in a filtered set of redaction candidate(s). The filtered redaction candidate(s) may, for example, be redacted from the document automatically, or outputted as suggestions in an assisted redaction tool, e.g. via a document redaction graphical user interface. Other example embodiments consider selective redaction when uploading and/or downloading documents via a proxy server, to prevent intended or unintended release of potentially sensitive information, e.g. in a web browsing context.

Detection and removal of predefined sensitive information types from electronic documents

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Bellevue, WA, United States of America

Hassan Almandil