Enterprise context control is a policy-based approach to sensitivity classification in AI workflows. Rather than applying uniform rules to all data, it determines what to protect based on document type, department origin, workflow stage, and enterprise-specific sensitivity policies. It is a core component of context-aware data control.
Explanation
Not all data carries the same sensitivity in every context. A company name in a press release is public. The same company name in an M&A target list is highly sensitive. Enterprise context control enables organizations to define protection policies that reflect these contextual differences.
This goes beyond PII detection. Enterprise context control covers trade secrets, financial terms, strategic data, internal metrics, and any organization-specific sensitivity category — providing true enterprise confidentiality control.
Example
A bank defines different encapsulation policies for three document types: customer correspondence (protect PII only), internal risk assessments (protect PII plus risk scores and limit recommendations), and board presentations (protect all financial projections plus strategic commentary). Enterprise context control applies the right policy to each document automatically.