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AI Governance

Agent Assurance

AI agents arrive with credentials, act on their own, and leave no reviewable trail. Assurance gives every agent action a decision, a record, and someone accountable for it.

Watch it run — sign-up to result

Stage 1 of 6
aribot · Agent Governance
OverviewFleetScope DesignerActions QueueIntegrationsInterop StandardsBindings

Credentialed agents

—

not measured yet

Never registered

—

not measured yet

Unused authority

—

not measured yet

Verdict recorded

—

not measured yet

Agent inventory

Inventory starts from issued credentials, not a registration form — nothing read yet.

Gateway decision

No boundary proposed yet — the gateway has nothing to rule on.

Useryou do this step

Sign up

GOES IN

Work email, company

COMES OUT

working…

ILLUSTRATIVE SEED DATA — NOT CUSTOMER DATA

acme.example

Run log
t+0.0s [User] Sign up
working on: Work email, company

The problem

Nobody approved the agent. It was given an API key by a team that needed a task done, and it now holds standing access nobody reviews and no joiner-mover-leaver process covers.
Agents hold authority they never use, and use authority nobody granted. Both are invisible until something goes wrong, because entitlement is recorded at issue time and never compared against behaviour.
When an agent does act, the verdict is usually lost. The action is logged; whether it was permitted, refused, or never evaluated is not — so an unrun check and a passed check look identical afterwards.

What Aribot does

  • Every agent action passes one gateway. There is a single chokepoint rather than a policy per integration, so 'what can this agent do' has one answer.
  • The gateway records its verdict, not just the event: allowed, refused with a reason, or failed before any decision was reached. An error is never filed as an approval.
  • Entitlement is compared against behaviour. An agent holding broad access it has never exercised is surfaced as reducible, and an agent acting outside its grant is surfaced as an exception.
  • Refusals fail closed. When the gateway cannot reach a policy source it denies and says so, rather than defaulting to allow and reporting success.
  • Quarantine isolates an agent at the gateway immediately, and the page states plainly what that does and does not reach — an identity session elsewhere is not ended by it.
  • Every credentialed agent is inventoried whether or not it was ever formally onboarded, because the ones nobody registered are the ones worth finding.

Watch the recorded demo

1:09

The run above is interactive. This is the same ground walked through on video, if you would rather watch than click.

Other cuts of this

More on the Ayurak AI channel.

Who this is for

A platform lead who did not approve the agent

When it comes up

A team wired an AI agent into production with an API key, and nobody can say what it is allowed to reach or who signed it off.

What changes

The agent appears in the inventory because it holds a credential, whether or not anyone registered it.

An identity owner facing access review

When it comes up

Machine identities accumulated permissions over two years and the review is guesswork, because nothing records what was actually used.

What changes

Granted authority is shown beside exercised authority, so the reducible gap is evidenced rather than estimated.

An incident responder

When it comes up

An agent did something unexpected at 2am and the log shows the action but not whether anything ruled on it.

What changes

Each action carries its verdict — allowed, refused with a reason, or errored before any decision — so an unrun check never looks like a passed one.

Illustrative example — not customer data

8
Credentialed agents
discovered, including those never formally onboarded
5
Blocked at the gateway
refused actions, each with a recorded reason
31%
Unused authority
of granted scopes never exercised — candidates to revoke
100%
Verdict recorded
of gateway decisions, including refusals

In the product

  1. 1
    Discover what already holds credentials
    The inventory starts from issued credentials rather than from a registration form, so agents that were never onboarded still appear.
  2. 2
    See granted versus exercised
    Each agent shows the authority it holds beside the authority it has actually used. The gap is the reduction you can make without breaking anything.
  3. 3
    Read the decision trail
    Every action carries its verdict. Refusals keep their reason code; actions that failed before the gate ruled are marked as errors, never as allows.
  4. 4
    Set a boundary and watch it hold
    Tighten a scope and replay recent activity against it to see what would have been refused, before you enforce it.
  5. 5
    Quarantine when needed
    One action isolates the agent at the gateway. The confirmation states the blast radius honestly, including what remains reachable elsewhere.
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Why teams use this

Use cases and case studies

Use case

See what each AI agent can reach and did

Aribot finds every AI agent that holds a credential and shows the access it was granted beside the access it used, with a verdict on every action.

Read the use case One-pager Carousel

Case study · Shadow AI · Customer zero

Our own code called five AI providers and 25 models

134
distinct places in our code that call an AI model
5
AI providers in use, across 25 different models

Case study · AI governance · Customer zero

Seventeen agent requests refused, each with a reason on record

23
agent identities registered with the gateway
17 of 40
agent requests refused, each with a recorded reason

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