AI security review

AI security reviews for assistants, copilots, and workflows that can access data or take action.

We look past the demo and follow the data, approvals, tool permissions, and side effects around the model.

Review more than the prompt. Permissions, tools, retrieval, approvals, and operator oversight decide what the system can really do.

AI security review

We test assistants, copilots, internal AI tools, retrieval systems, and AI-enabled products for prompt abuse, data leakage, over-broad retrieval, and unsafe defaults.

Workflow automation

Workflow automation review

We check systems that chain tasks, call tools, update records, or act beyond static text generation.

Data boundaries

AI data access review

We validate what the assistant can retrieve, summarise, cite, infer, or expose from internal and customer data.

Secure AI automation

Automation guardrails

We check whether AI speed has quietly removed approval, widened access, or made accountability harder to see.

Why AI review is different

The biggest AI risk is often outside the model.

We review data paths, retrieval boundaries, tool access, approvals, logging, and the ways model errors or manipulation can affect real work.

Prompt injection and unsafe instruction following
Retrieval leakage and over-broad document access
Tool permissions and action side effects
Human approval gates and override design
Logging and investigation readiness
Rollout boundaries for higher-risk workflows

AI review

Use this review when AI can access internal information, call tools, or influence decisions.

It applies when the system affects customer-facing decisions, runs inside privileged workflows, or produces outputs people rely on without checking.

This includes internal assistants, knowledge retrieval layers, secure automation, back-office automation, and products with AI in the workflow.

We define the review around the data sources, tool permissions, rollout timing, approval path, and evidence your team needs.

For example, a support copilot that retrieves CRM data and creates tickets should be reviewed for exposure, permissions, approvals, and an audit trail.

AI changes the attack surface because it changes how people and systems retrieve information, make decisions, approve work, and act.

Launch and risk planning

Before AI touches sensitive data or important decisions, review the workflow.

Tell us what it can access, what it can do, and who approves the outcome.

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