DATA CONTROL

AI data control from source to result

Understand where material enters, how it is processed and what persists. Make data handling part of the deployment design.

Evidence snapshot: 2026-10-22 · review by 2026-11-22 · partial_read_only

THE PRACTICAL TASK

What to agree for your team

01

Sources

Identify documents, prompts, files and their owners.

02

Processing

Confirm eligible providers, routes and workspace policy.

03

Lifecycle

Agree retention, deletion, backups and access review.

From requirements to a pilot

  1. 01

    Inventory the data

  2. 02

    Set processing rules

  3. 03

    Test permitted access

  4. 04

    Review lifecycle controls

Controls

Model policyEarly Access

Server-side policy constrains providers, models, external routes, and fallback.

Production policy configuration pending.
Technical evidence
Scope
workspace
Evidence
docs/business/model-policy.md
Audit CenterEarly Access

Administrative changes record actor, target, and correlation without prompt content by default.

Production retention and export evidence pending.
Technical evidence
Scope
business_enterprise
Evidence
docs/business/audit-events.md

Deployment profiles

SaaSBeta

A Wicsora-managed deployment with no published HA or SLA guarantee.

Current single-site runtime is not HA/SLA evidence.
Technical evidence
Region
deployment_specific
Evidence
docs/enterprise/deployment-profiles.md
On-PremBeta

Customer-environment packaging with outbound access denied by default.

Signed artifacts and a customer restore drill are still required.
Technical evidence
Region
customer_environment
Evidence
docs/enterprise/deployment-profiles.md;deploy/onprem

Evidence snapshot: 2026-10-22 · review by 2026-11-22 · partial_read_only