One security fabric for the whole AI factory

An AI factory is more than a model. It is the models you bring, the data you feed them, the prompts and APIs that call them and the agents that act for them. Kronos Lab puts one fabric across all of it.

The full fabric

Models, data, prompts and agents come in through four bands, into one policy plane and one audit trail. The same gates apply whichever platform you serve on, and every control writes back to the same telemetry stream.

Policy planeone policy · one audit trail
  • Policy and governance
  • Identity and access
  • Audit and compliance
  • Encryption and signing
  • Integrated workflows
deployment targets
Model serving
Applications
APIs and services
Agentic systems
Edge and on-prem

One policy plane

The bands don't each bring their own rules. They share five services, so one decision means the same thing everywhere.

  • Policy and governance

    Every gate in every band is an Open Policy Agent decision. Policy lives as code, versioned and reviewed like any other change, and one rule can apply across all four bands.

  • Identity and access

    Users, tenants, services and agents each carry an identity. Agents get SPIFFE workload identities, so a running workload is verified, not assumed.

  • Audit and compliance

    Every decision lands in one append-only record, mapped to the frameworks you answer to and forwarded to your SIEM.

  • Encryption and signing

    Models and datasets are signed with Sigstore. Content is encrypted under keys you hold, with post-quantum algorithms alongside the classical ones.

  • Integrated workflows

    Findings open tickets, incidents land in your SOC queue and remediation runs through your ITSM. The platform hands work to the tools your teams already use.

Every workload inherits the controls

Whatever you deploy to, it is gated the same way and writes back to the same telemetry stream.

  • Model serving

    Endpoints come up with their runtime guardrails attached, on KServe, NVIDIA NIM or Triton.

  • Applications

    Chat, search and copilots built on your models inherit the same prompt and output checks.

  • APIs and services

    Service-to-service calls pass the same authorization, rate limits and filters as people do.

  • Agentic systems

    Agents run with an identity, a sandbox and a policy on every tool, model and data source they touch.

  • Edge and on-prem

    The same gates run on your own hardware, in your jurisdiction, including air-gapped sites.

Where it runs

On the infrastructure you already run, under keys you already hold.

  • Any Kubernetes platform

    SUSE Rancher, Red Hat OpenShift, Rafay or NVIDIA's AI platforms. The fabric sits above the platform, so you can change it without changing your controls.

  • Your hardware and keys

    GPU node pools, in-jurisdiction KMS or HSM, and isolated landing, quarantine and clean storage tiers for what comes in.

  • Sovereign by default

    Nothing leaves your environment for a vendor cloud. The platform holds no key material, so a breach of the platform is not a breach of your content.

Bring your whole AI factory. We'll secure it.

Put the gate in front of every model, dataset, prompt and agent, on the infrastructure you already run, and keep the record that proves it held.

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