AI security review

AI security review for systems that can read, retrieve, and act.

AI now sits inside products and workflows. The review follows data paths, approvals, tool permissions, and downstream effects.

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Review the workflow around the model.Prompts set the direction, but permissions, tools, retrieval, approvals, and operator oversight shape the outcome.

AI security review

Review assistants, copilots, internal AI tools, retrieval systems, and connected products for prompt abuse, data leakage, retrieval overreach, and unsafe defaults.

Workflow automation

Workflow automation review

Assess systems that chain tasks, call tools, update systems, or take action beyond static generation.

Data boundaries

AI data access review

Validate what the assistant retrieves, cites, summarises, leaks, or overexposes from internal knowledge and customer data.

Secure AI automation

Automation guardrails

Design and review AI-powered workflows so speed gains do not remove approvals, widen permissions, or hide accountability.

Why AI review is different

The main risk sits in the system around the model.

A review covers data paths, retrieval boundaries, tool access, approvals, logging, and model errors or manipulation.

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

AI review covers systems that access internal information or make customer-facing decisions.

It applies when the system influences customer-facing decisions, runs inside privileged workflows, or produces outputs users rely on without verification.

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

Reviews are defined around the data sources, tool permissions, rollout timing, and the evidence required.

A support copilot that retrieves CRM data and creates tickets needs review for exposure, permissions, approvals, and evidence.

AI changes the attack surface because it changes how people and systems decide, retrieve, approve, and act.

Launch and risk planning

If AI touches sensitive data or decisions, review it before rollout.

Describe the data, tools, and approval path.

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