Technology
Meet ACRA.
The secure control architecture for high-consequence workloads. ACRA transforms Kubernetes into a hardened, governed environment, enforcing identity, isolation, policy and oversight at the workload level—wherever your workloads run.
Control your workloads.
Adopting AI shouldn’t mean handing the keys to your organisation — your data, your institutional knowledge, your decisions — to a model provider. ACRA runs your high-consequence workloads inside environments you control: models, agents, custom applications, communications, each sealed in its own enclave.
You compose what an enclave is: choose the intelligence, grant the context, swap the substrate. Deny by default, revocable at any moment — and when you change the model, the grants don’t follow it.
Anatomy of an enclave.
Every ACRA workload runs within its own control boundary — an enclave. Identity, network isolation, policy enforcement, credentials, messaging permissions and audit are applied by the platform and scoped to that workload.
The organisation defines its posture once. ACRA then applies it consistently across applications, agents, clusters and deployment environments — issuing workload-specific identities and grants without requiring every team to rebuild the same controls.
One posture · independently enforced controls · workload-specific access
L1Workload identitySPIFFE/SPIRE
Every workload receives a cryptographically verifiable identity. Services authenticate one another with short-lived X.509 credentials and mutual TLS, so no workload operates anonymously.
Scaled on Kubernetes, hardened by ACRA.
The scale AI demands is the scale Kubernetes was built for. It already runs the world’s largest systems. ACRA hardens it with a consistent control architecture for identity, isolation, policy and oversight — every workload inherits the same posture, with access and permissions scoped specifically to it.
And because Kubernetes sits on top of whatever substrate you choose, your workloads and systems port over without being rebuilt — the posture comes with them. Every new cluster, cloud or jurisdiction inherits the control you already enforce. The number of workloads grows. The control architecture does not.
every cluster · every cloud · every jurisdiction — one control architecture
Due diligence
Kubernetes solved orchestration; ACRA solves governance. It extends the cluster with workload-level control: inherited policy, default-deny boundaries, containment, telemetry and audit. The environment itself enforces posture, rather than tooling bolted around it. Kubernetes is the primitive; ACRA is the posture.
You do. Each deployment is cryptographically unique and the customer holds the keys. Even Valarian cannot access systems after launch. Governance emerges from enforced boundaries, not privileged access; securing the environment should not require admitting a new privileged actor into it.
Yes. ACRA is a cloud-agnostic control architecture: the same governance, containment and audit posture across clouds, on-prem and air-gapped estates, deployed where you need it to run and able to keep operating if connectivity drops. The cloud remains the substrate; the trust boundary belongs to you.
It gets contained. Specific workloads or whole environments can be isolated, sealed or revoked at runtime without destroying the system around them — a non-destructive kill switch, enforced at the infrastructure layer. Every powerful machine eventually gets a circuit breaker; AI will not be the exception.
No. ACRA extends Kubernetes — it does not replace it. Applications, workloads, teams and AI inherit the environment’s posture by default; the number of applications grows, the control architecture does not. Every application should not become a new security project.