SECURITY & GOVERNANCE
Enterprise-grade boundaries. Zero unauthorized actions.
How SIDUS protects operator data, enforces tenant isolation, guarantees zero model training on customer business metrics, and ensures complete operational auditability.
Scoped Least-Privilege Connectors
All third-party system connections operate under strictly scoped, least-privilege read permissions.
POS integrations (Toast, Square, Clover) are scoped strictly to necessary sales and inventory reporting feeds.
Delivery aggregator connections require zero direct store-admin credentials.
All connector access tokens are encrypted in transit and at rest with automated rotation.
Granular OAuth token scopes prevent write access to underlying store POS configurations.
Database-Enforced Tenant Isolation
Operator data is segmented at the data storage layer to guarantee complete isolation across organizations.
Strict tenant boundaries enforced at database and storage layer, not solely in application routing.
Zero cross-organization data aggregation or leakage.
Demonstration workspaces use synthetic deterministic data only.
Dedicated encryption key separation per tenant organization.
Zero Model Training on Customer Business Data
Your business telemetry, sales margins, employee rosters, and operational signals are strictly private.
Customer data is never used to train, tune, or evaluate generalized foundation AI models.
Model context windows are ephemeral and scrubbed immediately following synthesis execution.
Strict contractual guarantees regarding IP ownership and data sovereignty.
Zero secondary caching or data retention on external model provider endpoints.
Immutable Audit Trails & Provenance
Every signal correlation, staged proposal, and human decision creates an unalterable audit log.
Full provenance recording: the exact telemetry observed, recommendation formulated, and operator sign-off.
Cryptographically signed action dispatch logs for complete accountability across shift leads and executives.
Automated boundary auditing and regression test verification across every release.
Exportable audit event logs formatted for internal security and compliance verification.
Frequently Asked Questions
Is customer business or guest telemetry used to train general AI models?
The public SIDUS workspace uses synthetic data only. For any approved customer release, model-provider use, retention, and training restrictions must be defined contractually and verified before live customer data is connected.
How are multi-tenant data boundaries enforced?
SIDUS is designed around explicit organization and customer-product boundaries. Isolation, permissions, retention, and failure behavior must be validated for each approved customer release; the public demo is not production tenant evidence.
How are operational actions authorized and audited?
The synthetic demo illustrates evidence, proposals, and approvals without creating external effects. The target product keeps approval and policy ownership outside client UI code and stages governed actions for authorized operator review.
Explore live operational scenarios
See how SIDUS resolves cross-store inventory and POS telemetry live in your environment.