Data Governance

Data Governance.
Enterprise data, governed end to end.

Every AI Worker operates on data your administrators explicitly authorise. Governance is not a wrapper. It is built into every layer of the AR Vantage Worker OS, from ingestion to audit.

Last updated: July 2026

Data classification

All ingested sources are classified into public, internal, confidential and restricted tiers. Classification travels with the data and controls retrieval, generation and export at every step.

Identity-aware execution

AI Workers act on behalf of a named human, using their identity and permissions. A worker cannot access information the requesting employee is not entitled to see.

PII redaction

Personal, financial and other sensitive fields are detected and redacted before any external LLM call, with reversible tokens so grounded output remains accurate.

Tenant isolation and residency

Data is processed inside your tenant, in the region you choose. Enterprise data is never used to train foundation models, ours or third-party.

Retention and deletion

Retention windows are configurable per data class. Deletion requests propagate across indexes, logs and derived artefacts within contractual SLAs.

Audit trails

Every action, tool call and decision is written to an append-only audit log with the requesting identity, the data touched, the reasoning trace and the outcome.

Questions about this document? Talk to our team.