Three solutions. One control model.
Software becomes easier to govern when policy exists at the boundary where something consequential happens. Cardean applies that idea to AI traffic, digital measurement and access.
Govern what software sends.
Put one controlled path between applications and AI providers. Cardean Gateway routes requests, enforces runtime policy, protects sensitive data, controls usage and retains evidence across models and teams.
Best for: AI platform teams, security engineering, regulated organisations and public-sector digital services.
Govern what your organisation sees.
Understand how sites and digital products are used without defaulting to persistent individual profiles. Cardean Analytics is built on aggregate insight, proportionate collection and clear metric definitions.
Best for: product, communications, privacy and digital service teams.
Govern what systems permit.
Authenticate people and services, model organisations and roles, and keep access decisions understandable. Cardean Identity is built for multi-product environments that need strong standards and control without avoidable lock-in.
Best for: SaaS, public services, internal platforms and identity teams.
Built for organisations where control is not optional.
Regulated organisations
Connect policy, technical controls and review evidence across AI, analytics and identity — and make approved use controlled use at runtime.
Public sector
Build digital services that remain inspectable, proportionate and portable, without making control dependent on a single supplier.
Platform and engineering teams
Give product teams paved roads with reusable controls — central credentials, approved models, budgets and evidence — instead of another approval queue.
Start narrow: one workflow, a named owner and a proven control boundary. Expand when the operating model works in practice.
Different boundaries. Consistent expectations.
Policy close to the action
Decisions should be enforceable, not advisory.
Evidence by design
Important actions and changes should leave a useful trace.
Minimum necessary data
Visibility should not become an excuse for indiscriminate collection.
Open interfaces
Integration and exit should be deliberate, not punitive.
Deployment choice
Control requirements differ; architecture should accommodate that.
Clear ownership
Teams should know who can change policy and who approved an exception.