Open to the Public, Protected Where It Counts
The public deserves transparency, but not every record can be released. Interior classifies its data across bureaus to share the maximum safely, delivering openness while protecting sensitive information.
Challenge
Federal open-data rules require data to be published and discoverable. But critical infrastructure details, natural-resource data, and controlled unclassified information cannot be exposed. Sorting public from sensitive across many bureaus by hand was slow and risky.
Solution
Interior built a governed context layer that catalogs data across bureaus and classifies what can be shared versus withheld. Compliant publishing to the public is automated, delivering transparency while safeguarding sensitive and controlled data.
Technical approach
- One governed catalog of data across bureaus, with sharing and sensitivity rules enforced in the data
- AI-drafted, expert-approved, and kept governed and current
Results
- More data shared publicly, meeting the transparency mandate
- Sensitive and controlled data protected, reducing disclosure risk
- Publishing 40-60% faster, with far less manual review