Security

Built for the most sensitive data you hold.

Encryption in transit and at rest, role-based access you control, and an audit log covering every action the agent takes.

Capabilities

The guardrails

Permission inheritance

The agent acts strictly within the permissions of the person who asked, never above them. A manager cannot reach another department's salary data by asking nicely.

Audit trail on every action

Each action is written to a log together with the instruction that caused it, so any change can be traced to a person and a request.

Held actions

Anything touching money, exits or compliance stops for explicit human approval regardless of who asked for it.

Encryption and access control

Data encrypted in transit and at rest, with role-based permissions you define per entity and per department.

In the product

Approval flows, permissions and organisation policies configured in one place.

An agent operating on HR data is operating on the most sensitive dataset most companies hold. That makes the guardrails a product requirement rather than a footnote.

  • Permission inheritance
  • Audit trail on every action
  • Held actions
  • Encryption and access control
app.teamio.io
Teamio configuration showing approval flows, permissions and roles, and organisation policies
Approval flows, permissions and organisation policies configured in one place.

How it fits together

What an agent operating on HR data has to guarantee

An agent with access to payroll, contracts and personal records is operating on the most sensitive dataset most companies hold. That makes the guardrails a product requirement rather than a security footnote.

  • Permission inheritance
  • Audit trail
  • Held actions
ACCESS MODELRole permissionsWho can see whatAgent inherits callerNever acts above youHeld actionsMoney, exits, complianceAudit logEvery action, every promptEncrypted in transit and at rest, with role-based access you control.

Security

The agent never acts above you

Three properties are non-negotiable, and they are worth demanding of any vendor you evaluate, not only this one.

A grid of padlocks representing layered access control

By the numbers

What it looks like in practice

Terminations, pay decisions, grievance outcomes and probation calls are consequential and hard to reverse. The agent prepares and drafts. A person decides. That boundary is deliberate policy, not a current limitation.

Inherited

The agent never acts above you

Logged

Every action with its instruction

Held

Money, exits and compliance

Encrypted

In transit and at rest

In practice

How a request is authorised

The same checks apply whether a person clicks the button or asks Tio to do it.

  1. Identity

    Who is asking, established at login rather than inferred from the request.

  2. Permission

    Whether that person holds the permission for the action at all, checked against their current roles rather than a cached session.

  3. Scope

    How far the permission reaches. Self, team or organisation, which is what decides whether a manager sees one record or every record.

  4. Reversibility

    Whether the action can be undone. Anything touching money, exits or compliance is held for explicit human approval regardless of permission.

  5. Record

    The action and the instruction that caused it are written to the audit log, so it can be explained months later rather than merely observed.

Compared

Where the boundary sits

The split is about reversibility rather than difficulty.

WorkWho does itWhy
Provisioning accessAgentDeterministic and reversible
Assembling a reportAgentCheckable against the records
Preparing a payroll runAgent, then approvalConsequential once paid
Policy answersAgent draftsJudgement, with sources cited
Termination or pay changeHuman onlyHard to reverse, affects a person

FAQ

Common questions

Can we export the audit log?

Yes. It is available through the interface and the API, which matters when an auditor wants the evidence in their own format rather than a screen share.

Where is our data stored?

Data is encrypted in transit and at rest. Specific hosting regions can be confirmed for your jurisdiction as part of an evaluation.

Is customer data used to train models?

Your employee records are processed to answer your own questions. Confirm the current data processing terms as part of procurement, since this is exactly the clause worth reading rather than assuming.

See it running on your own data.

We will show the module working against records that look like yours, not a generic demo.

Explore more

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The agent that acts on your records rather than just answering questions.

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