solution brief

eSHARE Data Attributes

AI Governance & Security

The Context Gap

Microsoft Purview Sensitivity Labels are a strong foundation, but a label alone doesn't tell users what markings to apply or give downstream systems the metadata for context-aware enforcement. That gap creates risk for people who need consistent visual markings, for security teams whose downstream systems need contextual metadata to enforce policy accurately, and for AI systems that need signals to determine whether content should be included, restricted, or excluded from models.

The Solution: eSHARE Data Attributes

The eSHARE Data-Attributes Add-In extends Microsoft Purview Sensitivity Labels by introducing attribute-based classification, letting organizations define and enforce additional security context.

How It Works

From within Word, PowerPoint, Excel, or Outlook, the eSHARE add-in reads the document's Sensitivity Label and surfaces only the relevant data attributes. The user selects values for each mapped attribute — such as CUI category, IP designation, or AI training eligibility — and Apply stays disabled until all required fields are complete. eSHARE then composes header and footer markings from the selected attributes and writes structured metadata into the document's custom properties, so every document carries both human-readable markings and machine-readable metadata for precise, context-aware enforcement.

In Practice

Defense & Aerospace: an engineer labels a technical spec Confidential and marks it ITAR-controlled; eSHARE applies CUI/ITAR markings and, when the file is shared, the policy engine automatically restricts access to U.S. persons.

Life Sciences: a researcher labels a pre-clinical trial report Confidential and flags it as containing HIPAA-relevant, patient-adjacent data; eSHARE applies markings and embeds metadata so AI security tools automatically exclude it from training data — without this metadata, the same document could be silently ingested into a training corpus with no policy check in place.