Your environment
Deployed inside your own cloud or infrastructure — not a shared, multi-tenant SaaS. Your data never pools with anyone else's.
Security
Security isn't a feature bolted on at the end — it's the architecture. AI is deployed privately in your own environment, every action is permissioned and logged, and the infrastructure stays yours.
Security
Security isn't a feature bolted on at the end. It's the architecture. Every action is permissioned, logged, and reversible, and the infrastructure is yours.
Runs in your environment, not a shared multi-tenant cloud.
You own the deployment, the data, and the keys. Always.
Every action is scoped to a role. Nothing acts beyond its grant.
In transit and at rest. No plaintext leaves a boundary.
Consequential actions wait for a person. Approval is a first-class step.
Every decision and write is logged, attributable, and reviewable.
Roll forward or back with confidence. Nothing changes silently.
The runtime sees only what a task requires, nothing more.
Security model
The runtime operates inside the same boundaries your organisation already governs: access, approval, auditability, and change control.
Access model
Role-scoped by default
Read and write permissions are granted only to the systems and roles required.
Approval gates
Human-in-loop
Consequential changes wait for authorised approval before anything is written.
Auditability
Attributable records
Actions, decisions, and system writes can be reviewed against the permission trail.
Change control
Versioned releases
Deployments are tracked so changes can be reviewed, rolled forward, or rolled back.
Designed for environments where control matters more than novelty.
Data ownership
The reason regulated, document-heavy businesses can trust AI here is simple: it runs where you run, under controls you own. There is no shared cloud your data passes through, and nothing is used to train someone else's model.
Deployed inside your own cloud or infrastructure — not a shared, multi-tenant SaaS. Your data never pools with anyone else's.
The deployment, the data, and the credentials stay with you. Access can be revoked at any time, on your terms.
Built in the UK with data protection in mind: data residency you control, lawful processing, and no data used to train third-party models.
Every service sees only what its task requires. Read-only unless you explicitly grant more; nothing acts beyond its scope.
Security questions
Nowhere you don't control. The runtime is deployed inside your own environment and reads from the systems you already run. Data is not sent to a shared SCA cloud, and it is never used to train third-party models.
No consequential action happens without a person. Human approval is a first-class step in the runtime: the system can draft, propose, and reconcile, but writes to your systems wait for an authorised approval, and every one is logged.
Access is role-based and scoped to the task. A service operates under the same permission model your team already uses, defaulting to read-only unless you grant write access for a specific, audited purpose.
SCA is UK-based and designed to sit within your compliance obligations. Because the deployment and data stay in your environment, you keep control of data residency, retention, and lawful basis — we help architect the controls to support it.
You own the infrastructure, so there is no lock-in. The deployment, data, and configuration are yours; access to any SCA-managed components can be withdrawn without losing your systems or records.
Have a requirement not covered here? Start an architecture review and we'll map the controls to your obligations.
Start with an architecture review. We'll map where an AI runtime fits in your business, no pitch, no jargon, just architecture.