SECURITY ARCHITECTURE

Business data deserves more than a login screen.Security is enforced through the platform layers.

GLOBAL AI SAAS combines authentication, company identity, role permissions, application-service authorization, database tenant controls and auditability. Security is not delegated to the AI layer or to client-side navigation.

DEFENSE IN DEPTH

Controls at more than one layer.

The platform is built so a single UI check is never the only thing separating one company from another.

01

Tenant isolation

Company requests are resolved to a tenant context and tenant-owned data is protected with application boundaries and PostgreSQL Row Level Security where appropriate.

02

Role-based authorization

Company roles and granular permissions determine which application services and actions a user can access.

03

Object-level service checks

Application services validate tenant ownership and authorization instead of trusting IDs supplied by the browser.

04

Append-only audit protection

Audit records are protected at the database layer so normal application paths cannot silently rewrite historical audit events.

05

Secure authentication

Authentication, session handling, email verification and recovery flows are separated from company authorization and production security settings fail closed when required configuration is missing.

06

Provider credential boundaries

Integration credentials are handled on the server through restricted credential paths rather than being returned to normal browser APIs.

REQUEST BOUNDARY

A company request must earn access before it reaches the data.

The intended path is explicit: identify the user, resolve the company, verify permission, enter tenant context, then access the authorized data and record auditable activity where required.

1Authentication
2Tenant identity
3Role
4Permission
5Application service
6Tenant database context
7Authorized data

AI IS NOT THE SECURITY BOUNDARY

Authorization happens before business context reaches AI.

GLOBAL AI SAAS is designed so the model does not decide which company records a user may access. The application resolves tenant identity and permission first, then builds the authorized context for the configured AI backend.

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About compliance claims

This page describes implemented architecture and product controls. Formal certifications, regulatory compliance and deployment obligations depend on the relevant environment, jurisdiction and independent assessment; they are not implied by this page.