Public control overview
Public controls cover RBAC, least privilege, tenant separation, encrypted transport, storage protection where applicable, incident response, credential handling and AI data handling.
Verbum is built for teams that need AI-assisted messaging with human approval where required, traceability, privacy-aware workflows and documented security controls across business channels.
Security explains the technical and operational controls. The Trust Center maps available evidence, scope and qualified-review paths.
Public control overview
Verbum is built for teams that need controlled AI workflows, traceable messaging, access controls and qualified security review without exposing sensitive evidence publicly.
Public controls cover RBAC, least privilege, tenant separation, encrypted transport, storage protection where applicable, incident response, credential handling and AI data handling.
This page summarizes public controls. Evidence status, scope and availability are maintained in the Trust Center and shared through qualified security review.
Independent evidence
Security lists the public posture. Trust Center owns evidence names, status, evidence type, approved metadata and availability so sensitive materials are not duplicated across pages.
Evidence in Trust Center
Evidence in Trust Center
Evidence in Trust Center
Evidence in Trust Center
Evidence in Trust Center
Qualified review materials
Security and privacy review materials are available through qualified review.
Workflow security
Security in Verbum is tied to configured workflows: who can access a workspace, how permissions are scoped, how credentials are handled and how enabled workflow events can support later review.
Data protection controls
Security controls for tenant separation, transport protection, storage protection, retention and incident handling are described at a public level here. Detailed implementation evidence is handled through qualified security review.
AI governance
Verbum Sense, Verbum Assist and Verbum Automate are designed around configured context boundaries, human review where required, policy-based automation and the shared AI data handling policy.
See approval workflowsAI drafts and routes messages inside the controls your team configures.