Secure

Give autonomy a deliberate boundary.

Make authority, isolation and tool access explicit. Examine how those boundaries behave under mistakes, hostile inputs and unexpected conditions.

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Separate intent, authority and enforcement

Input boundaryRequest context
Distinguish the requested task from untrusted instructions and retrieved content.
Authority boundaryDelegated identity
Limit the agent to the resources and actions needed for the task.
Effect boundaryTool-side control
Inspect enforcement before a write, transfer or other consequential action.
A proposed framing for the engagement. Scope, evidence requirements and delivery availability are agreed for the specific workflow.

Ways to approach the work

AI Agent Authorisation Review

Make delegated authority inspectable. Trace who an agent acts for, what it can access and how that access can be withdrawn.

Read about this offer: AI Agent Authorisation Review

AI Agent Runtime Security Review

Make every delegation explicit. Examine who the agent acts for, where it can execute and which tools it can reach when instructions alone are not enough.

Read about this offer: AI Agent Runtime Security Review

AI Agent Red Team

Challenge the boundaries that matter to your workflow. Test agreed attack scenarios against agent instructions, tools and data access.

Read about this offer: AI Agent Red Team

AI Agent Sandbox Assurance

Examine the boundary between agent execution and the systems around it, including files, networks, secrets and cleanup.

Read about this offer: AI Agent Sandbox Assurance

AI Secure Agent Architecture Review

Design authority and isolation into the system. Review trust boundaries, credentials, tools and recovery before deployment choices become difficult to change.

Read about this offer: AI Secure Agent Architecture Review

AI Secure Agent Deployment Review

Look beyond a successful demonstration. Examine the permissions, dependencies and operational controls that shape an agent’s behaviour in deployment.

Read about this offer: AI Secure Agent Deployment Review

AI Privacy Engineering Review

Trace personal data through your agent workflow. Examine collection, memory, retrieval, tool access and retention against your agreed requirements.

Read about this offer: AI Privacy Engineering Review

Supporting capabilities

Cryptographic engineering

Design, review and migrate the cryptography, key management and certificate systems a product depends on.

A little more clarity

Questions worth asking.

Start with the questions that shape a better decision.

What can this agent reach?

Make authority, isolation and tool access explicit. Examine how those boundaries behave under mistakes, hostile inputs and unexpected conditions.

How is the engagement scope agreed?

Start with one workflow, its accountable owner and the decision that needs evidence. Agree inputs, boundaries, deliverables and acceptance criteria before work begins.

Can a project involve more than one service?

Yes. A release question may involve evaluation, security and governance together. The scope should connect these disciplines to one decision and avoid duplicating work.

What can this agent reach?

Bring the workflow, the constraints and the evidence you already have.