Operations Security

Security by design.

In enterprise environments, security cannot be an afterthought. It must shape architecture, access, and operations from the start. KONTEX addresses this with enterprise authentication, strict workspace isolation, processing inside the deployment environment, and audit-ready traceability. Teams can balance adoption, governance, and compliance without building parallel security layers.

Mandatory enterprise authentication

No standalone accounts: access goes through your enterprise IdP to stay aligned with your security policies.

KONTEX relies on enterprise authentication β€” SSO through your Identity Provider, OIDC β€” to avoid identity sprawl and simplify administration.

For IT teams, it fits naturally into your standards, without parallel account management. For users, frictionless access with understandable permissions.

SSOIDPControlled accessIT standards

Strict workspace isolation

Each workspace is isolated by design: sources, results, permissions, traces, and learning do not mix.

KONTEX structures usage around workspaces, each tied to sources, configuration, users, and access rules.

Permissions remain readable, while isolation stays strong. This lets you scale application control without exposing knowledge across entities, departments, or environments.

IsolationScopesPermissionsGovernance

Sovereign data: no external services

Your sources and knowledge stay in your environment.

KONTEX is built for sensitive systems.

Processing happens within the environment where it is deployed, without relying on external APIs to run AI or qualify knowledge. This reduces exposure surface and keeps full control over flows. AI power β€” without compromising sovereignty.

SovereigntyNo external APIInternal dataControl

Controlled technologies & models

An enterprise-grade stack: built and operable in France, with controlled AI models and managed dependencies.

KONTEX is developed in France and designed for environments where application knowledge is sensitive.

Technology choices favor control, transparency, and the ability to operate within a controlled framework, including on-premises. AI modules are developed in-house or built on carefully selected open-source components.

Controlled stackFranceOpen sourceControlled AI

Specific security requirements to address?

A technical conversation with our team to validate compatibility with your security policy.