AI Sandbox is not “a better chat UI”—it is a delivery that makes security, compliance, and accountability explicit:
- Data boundary (data residency): Supports On‑Prem / Private deployment; data stays inside your intranet (offline-capable).
- Governance & audit: Reuse SSO/RBAC; configurable guardrails/policies; cited answers; traceable operations (what was asked, based on which sources). User identity mapping (“who asked”) must rely on customer SSO/IAM.
- Enterprise knowledge base (Knowledge Documents): Import internal PDFs/Word/Excel and build a maintainable knowledge base (indexing/permissions/regression tests) so teams share the same acceptance-ready answers.
- Contractable risk boundary: For production, define data boundary/retention/audit responsibilities via NDA/DPA and Enterprise Agreement (agreement governs).
In contrast, typical public cloud AI tools are often optimized for individual accounts and one-off chats; enterprises usually need to fill in governance, auditability, and compliance on their own.
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