Checking Control live demo · Runtime authorization for AI context

AI context should not gain authority just because an agent can access it.

Johka Control enforces runtime authorization for AI context flows, correlation and derived context—before protected context reaches the AI provider. It is a complete, independently deployable product.

  • Customer-hosted
  • Independent product
  • Fail-closed
  • Auditable
  • Provider-independent core
ENFORCEMENT OUTCOMES POLICY ACTIVE
01
REQUEST ORIGINApplication / Agent
Context envelope
ENFORCEMENT POINTJOHKA CONTROL
IdentityPurposeGrantLineage
ALLOWREDACTBLOCKREQUIRE_APPROVAL

AI systems can reach more context than they should be allowed to use.

Retrieval controls what data can be found. Johka controls whether context may flow, correlate, be derived or be reused at runtime.

01

Access is not correlation authority

An agent may technically reach two contexts without authority to combine them.

REACHABLE ≠ AUTHORIZED
02

Derived context keeps its authority

Summaries and inferred facts do not become unrestricted because they are new.

DERIVATION ≠ RESET
03

Unauthorized means no provider call

When Johka refuses a flow, protected context stays at the enforcement point.

BLOCK = ZERO EGRESS

Your agent can access both. That does not mean it may combine both.

For teams whose AI agents work across conversations, CRM records, orders, cases, documents and connected systems.

Customer-support AIMulti-tenant B2B SaaSEnterprise copilotsAI agent platformsFintech & insuranceHealthcare · HR · legal
PRIMARY USE CASESUPPORT + CRM + ORDER
SOURCE 01Support conversation
SOURCE 02CRM & order data
AUTHORIZATION QUESTION

Which customer fields may be combined for this purpose, sent to this destination and reused later?

QUALIFICATIONJOHKA BECOMES RELEVANT WHEN…
  1. 01

    The AI can reach at least two separate data sources.

  2. 02

    Those sources contain customer, tenant or otherwise bounded context.

  3. 03

    Not every accessible field may be combined for every AI task.

  4. 04

    The AI can send context to a provider or execute actions.

  5. 05

    You must prove why a combination was allowed.

  6. 06

    Authority can expire, be revoked or depend on purpose and destination.

Four or more apply? Your architecture is a strong fit for a Johka evaluation.

Not every AI system needs Johka.

PROBABLY NOT NECESSARY

One unrestricted source with no meaningful boundary crossing? Johka may be unnecessary.

JOHKA BECOMES RELEVANT

Multiple bounded contexts where access to both must not mean permission to combine both? That is where Johka becomes relevant.

Johka can allow, restrict or block context at runtime, or require human approval. Cross-context use can require explicit, purpose-bound grants that can be revoked immediately.

ALLOWREDACTBLOCKREQUIRE_APPROVAL

Built as enforcement infrastructure, not another AI data layer.

Johka sits in the execution path and returns an enforceable decision before an AI request can leave the controlled environment.

CUSTOMER ENVIRONMENT
CALLERSApps · Agents · RAG
PRIVATE CONTAINERJohka Control
GATEWAYProvider Adapter
CONTEXT MANAGEMENT

Organizes what AI can find.

JOHKA CONTROL

Determines what AI context may do.

Prove one protected AI workflow in your own environment.

A fixed-scope Johka Control pilot for the first five design partners. Link and work beyond this pilot are separately scoped.

FOUNDING DESIGN PARTNER · 5 PLACES ONLYJohka Control
FIXED-SCOPE PILOT€3,500FIXED SCOPE · EXCL. VAT
  • 1 protected AI workflow
  • 1 customer-hosted deployment
  • 1 provider path
  • Context-flow and boundary mapping
  • Policy, grant and audit configuration
  • Technical evidence and pilot readout

5–10 working days of implementation, typically completed within 2–4 calendar weeks.

You leave with: a working protected workflow, deployed enforcement, and technical evidence of what was allowed, restricted and blocked.

No long-term commitment required for the pilot.

Everything outside the agreed scope is separately scoped.

Discuss your pilot

Prove one workflow. Expand from evidence.

  1. 01Fixed-scope pilot

    Protect and prove one real AI workflow.

  2. 02Production deployment

    Agree production licensing, implementation and support.

  3. 03More protected workflows

    Expand deliberately across additional flows and sources.

Production licensing and ongoing support are agreed after a successful pilot.