Introduction to Policy
Choose a Policy learning path and prepare accounts, catalogs, and example inputs.
Policy brings authoring, review, revision history, and delivery into one governed workflow. Authors prepare Data or artificial intelligence (AI) policies. Authorized reviewers return work or approve the exact submitted draft. Background services publish approved artifacts and collect target-specific delivery evidence.
Policy Panel is the web interface. Policy Library is its policy-listing workspace. An artifact is generated configuration for a target integration, not the author’s editable draft. Data policies describe protection for discovered data. AI policies describe runtime permissions for selected classifications and principals.
Approval, publication, and observed protection answer different questions. Use these guides to identify your responsibility and verify the relevant outcome. Use the glossary for shared terminology.
The following sections follow the Team Edition documentation order:
Choose a Policy learning path and prepare accounts, catalogs, and example inputs.
Understand Policy components, integration responsibilities, and the boundaries between governance and delivery.
Install the Policy Helm chart with prepared credentials, then sign in and open the Policy Library.
Choose deployment values, runtime settings, and identity controls for Policy.
Take a logical backup, select a recovery snapshot, restore the database, and resume Policy safely.
Remove Policy workloads while keeping recoverable data, or explicitly delete approved storage and the dedicated namespace.
Find Policy API contracts, an ordered lifecycle example, and authorized recovery references.
Author policies, hand off review, and verify target-specific delivery.
Choose a safe recovery path using symptoms, available evidence, and your authority.
Find Policy concepts, terminology, system operations, and frequently asked questions.
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