Trust, governance and responsible AI.
Security, privacy, data governance, AI governance and responsible AI at Sanclarity AI. No certificates or audit reports exist yet, so none are shown.
Access control, authentication and data separation as designed for the platform.
What is collected, why, and how long it is held.
Corpus ownership, retention and separation between workspaces.
How analytical output is generated, reviewed and attributed.
Held claims, conflict flagging and the analyst-in-the-loop requirement.
Hosting and operational model.
Workspace permissions, role separation and access records.
Contractual terms, privacy policy and data-protection commitments.
Sanclarity is designed to support analysts, not replace professional judgment. Analytical outputs should be reviewed and validated before being relied upon for material decisions.
Under Sanclarity’s current terms, Customer Data is not used to train a general-purpose AI model unless applicable product terms or contractual documentation expressly permit it.
Information may come from public, licensed, customer-provided or third-party sources. Sanclarity does not warrant that all sources remain complete, current or error-free, and users are responsible for reviewing and validating outputs.