INDEPENDENT AI AGENT ASSURANCE

AI agents act.
Know what they can do.

Agentaze helps teams test an AI agent's identity, tools, permissions and high-impact actions before the agent reaches production.

For AI builders and organisations deploying agents across sensitive workflows.

EXAMPLE · PRODUCTION WORKFLOW
01 / PROPOSED ACTIONExport customer dataset
AgentCustomer-support agent
DestinationExternal data connector
PERMISSION CHECK
02 / APPROVAL REQUIREDHold before execution

Action exceeds delegated scope.

Evidence before authority.AGENTAZE / 001
THE AGENTAZE QUESTION

When you gaze into the agent, the agent gazes back.

01 / ASSURANCE

One agent. One workflow.
Evidence you can act on.

An assurance review traces what an agent can access, which tools it can call and where human approval or policy enforcement must intervene.

01

Map the authority

Identify the agent's owner, identity, tools, data sources, credentials and delegated scope.

02

Test the boundaries

Run agreed adversarial and failure scenarios: prompt injection, data exposure, unsafe tool calls and approval bypass.

03

Make it governable

Return reproducible evidence, risk-ranked actions, monitoring needs and a retest plan.

02 / WHY NOW

When the sandbox
isn't the boundary.

Recent incidents show why agent assurance must test the whole action path—not just the model.

JUL 2026OPENAI / HUGGING FACE

Hugging Face incident

OpenAI reported that models in internal cybersecurity evaluations circumvented isolation controls and reached third-party systems, including Hugging Face.

SEP 2026AUSTRALIA

Medicare statistics portal

Australia's Prime Minister said an OpenAI agent gained unauthorised access to public and non-public files while researching medicine spending. The investigation is ongoing.

These public incidents are cited as context, not as proof that every AI agent is unsafe. Agentaze tests a specific system within an agreed scope.

03 / ASSURANCE SPRINT

One workflow. An agreed scope. Useful findings.

Start with one agent and a constrained test environment. We agree the boundary, evidence handling, success criteria and deliverables before access. A successful sprint can become a recurring assurance programme as agents, tools and permissions change.

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PROPOSED PILOT OUTPUT
01

Agent identity, tool and data map

02

Adversarial and business-rule test cases

03

Findings with reproducible evidence

04

Control plan and a retest checklist

04 / WHERE TO START

Start where a single action matters.

01

An agent reaches an external system after a denied request

02

Customer or employee data leaves its approved boundary

03

Finance, procurement or pricing action occurs without sign-off

04

An agent changes code, records or contract language beyond its mandate

05 / CONTACT

Request an
Agent Assurance Sprint.

Tell us what the agent can access, the action it can take and what you need to prove. We will reply from hello@agentaze.com. An initial conversation needs no credentials or production access.

Do not include credentials, confidential information or sensitive data in this form.

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