What can it reach?
Tools, APIs, MCP servers, repositories, credentials, data stores and connected business systems.
Evidence before verdict
We don't ask the model whether your agent is secure.
We prove what it can actually do.
For AI agents using tools, APIs, MCP servers, repositories, credentials or business systems. Scope is agreed before any testing.
The problem
Safe output is not the same as safe action.
An agent can produce a harmless-looking answer while still holding authority to call a privileged tool, change data, reach a production system or trigger a high-impact workflow. AgentRiskLayer assesses the action boundary, not just the conversation.
What can it actually do?
Which actions are permitted, constrained, approval-gated or blocked when the agent attempts them.
What proves the conclusion?
Recorded behaviour, exact test conditions and evidence linked to the affected security control.
One authoritative chain
From agent action to accountable decision.
- 1. ExerciseA defined instruction exercises an agreed security boundary.
- 2. ObserveWe record what the agent attempts and what the downstream system permits.
- 3. PreserveTool calls, arguments, control behaviour and test conditions become evidence.
- 4. SeparateObservation is not automatically promoted into a finding, PASS or FAIL.
- 5. ReviewEvidence is reviewed against the scoped controls and authority boundary.
- 6. RetestAfter remediation, the affected boundary is tested again under defined conditions.
A concrete question
What happens when your agent tries the thing you hope it cannot do?
That is where an ARL assessment starts. We agree the boundary, exercise it under controlled conditions, preserve what happened and connect the evidence to a human-reviewed security conclusion.
INSTRUCTION / exercise agreed boundaryAGENT / attempts privileged actionCONTROL BOUNDARY / allow · deny · require approvalEVIDENCE / exact observed behaviourREVIEW / finding and remediationRETEST / verify the affected boundary again
Start small
Give us one AI agent with tool access.
We'll identify an authority boundary worth testing and show you how AgentRiskLayer evaluates it. No certification claims. No security theatre. Evidence first. Human accountable.