Resources · Practical guidance

AI Agent Security Guides & Review Checklists

Turn review questions into a defined scope, testable controls and evidence your reviewers can inspect.

Make the guidance specific to your deployment

Start with one agent workflow and the actions it can perform. Record the users, tools, data sources and destinations involved. A guide becomes useful when each question has a named owner and a concrete system boundary.

For each control, distinguish what is documented from what has been tested. Keep the configuration, scenario, expected result and observed result together. Record exclusions and open findings so that an untested control cannot be mistaken for a demonstrated one.

Use the fictional sample assessment report to inspect how scope, findings, remediation and retest status can be presented. For implementation decisions, explore our AI agent security engineering insights or guardrail engineering service.

These guides support preparation. The requirements for a specific review depend on the deployment, applicable framework and reviewer; a completed checklist does not itself establish certification or approval.

Turn security challenges into a clear plan

Tell us what you need to protect, improve or achieve. We will help you identify the control gaps, prioritise the work and define practical steps towards your goal.