Platform · AI Governance

How HubSecure governs AI.

Every AI action is scoped to user permissions, logged in the audit trail, and can require human approval. This is how regulated companies use AI safely.

See governed AI in your demo Trust Center
AI governance principles

Six rules that govern every AI action.

HubSecure does not treat AI as an add-on. Every AI feature is built under these governance principles from day one. You do not configure governance separately — it is always on.

Permission scoping

AI only accesses data the requesting user is permitted to see. An AI assistant working on behalf of a user inherits that user's RBAC scope — nothing more.

Full audit trail

Every prompt, AI action and result is logged with a timestamp, user attribution and the source data accessed. Nothing AI does is invisible to your audit trail.

Approval gates

Configure which AI actions require human sign-off before they execute or are applied. Approval gates apply to sensitive actions, bulk operations and high-risk outputs.

Source attribution

Every AI-generated suggestion, summary or recommendation cites the specific source document or record it drew from. No black-box outputs.

Model transparency

You choose which AI models are used for each workflow. Model selection is visible in configuration and logged against each action. No hidden model switching.

Data boundaries

AI never sends data outside your tenant boundaries without explicit consent. No cross-tenant data access. No training on your tenant data. Your data stays yours.

AI action log

Every AI action, visible and auditable.

The AI action log shows every prompt, action and result in real time. Filter by user, tool, status or time range. Export for compliance review at any time.

AI Action Log — Live

Governed
Time User AI Tool Action Status
09:14 Sarah K. Client Summary Generated summary for Acme Corp — sourced from 4 client records, 2 documents Approved
09:02 AI Operator Risk Check Flagged missing KYC document for client Bergstrom AS — identity verification incomplete Pending review
08:45 Mark T. Draft Reply Generated response to client inquiry re: Q2 report — based on approved template Auto-approved

All actions include: actor, model used, source data accessed, tenant boundary confirmation, approval chain. Logs are immutable.

AI boundaries

What AI can do — and what it cannot.

Governed AI is defined as much by what it refuses to do as what it enables. Both lists are enforced at the platform level, not by convention.

What AI can do in HubSecure

  • Triage incidents and assign severity based on policy rules
  • Summarize client records within your permission scope
  • Detect missing or expired documents in a client file
  • Draft replies and reports from approved templates and records
  • Flag compliance risks against configured policy rules
  • Check regulatory requirements against a client's obligation profile
  • Prepare audit packages from the evidence trail
  • Recommend next actions based on workflow state

What AI cannot do

  • Access another tenant's data — ever, under any circumstance
  • Execute without logging — every action is recorded
  • Bypass configured approval gates
  • Send data to external services without explicit consent configuration
  • Override human decisions once made
  • Use data to train models without explicit agreement
  • Operate outside the user's RBAC permission scope
  • Produce outputs without source attribution
AI Governance

See governed AI in your demo.

Bring a real AI use case from your workflow. We will show you how permission scoping, approval gates, audit logging and data boundaries apply to it — in a live, configured environment.

See governed AI in your demo → Full Trust Center

Permission-scoped · Fully logged · Approval gates · Source attribution · Data boundaries enforced