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Precise. Secure. Mission-driven.

How tenant data and credentials are treated when an agent acts, stated as mechanisms, not badges.

Fig. 7The data pathExample: a change waiting for approval

Scroll sideways to see the whole path.

  1. 1Your request arrives at the TigerCore platform.
  2. 2The task is checked and routed. Credentials stay inside.
  3. 3Only the task crosses to the model, and the answer returns.
  4. 4A change stops at the gate and waits for your OK.
  5. 5Once approved, it runs against your systems and is logged.

1Per-tenant isolation

An action scoped to one client can’t read or write another client’s systems.

2Managed secrets

Keys and tokens are injected at run time. They never appear in prompts, tickets or logs.

3Approval gates

Per action, never a blanket setting. The approver sees the tenant, the target and the exact change.

4Audit trail

Every read and every change, with its inputs, result and approver, ready to show a client.

Every action, accounted for.

Agent work is designed to be checked before it touches a client, and reviewed after it does.

Clear stopping points

Every task ends one of three ways: verified, handed to a person, or stopped.

Kept up to date

Connectors are maintained as vendors change their systems, so your workflows keep working.

Checked before it runs

A change only runs if the target still matches what you approved.

Reversible where possible

Changes keep a way back, and the approval tells you when one isn’t available.

Separated by client

Each client’s environment stays separate on every action.

Results you can review

Every run is recorded: what was attempted, what completed, and what went to a person.

See it on your own tickets.

You

We’d like to see it on our own stack.

TigerCore AI

Let’s show you. Bring a real ticket queue and your hardest questions about approvals, tenant isolation and the data path.

Let’s show you!Read how data is handled

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