AI Security Review

What it is

A review of the AI systems and LLM integrations you run, against the failure modes conventional security controls were never built to catch: prompt injection and its downstream effects, data leaving through tools an agent can call, permissions far broader than the task requires, and the supply chain behind the models and libraries you depend on.

We also look at what you would be able to prove afterwards. An estate with no traces and no retained evaluations is one where an incident becomes an argument rather than an investigation.

How we report it

Findings come back prioritised by what an attacker would reach first and what it would cost you, not by severity label alone. Each one carries the evidence we based it on, so your engineers can check our work rather than take it on trust.

What you get

• Prioritised findings across your AI systems and LLM integrations
• The evidence gaps — what you could not currently prove after an incident
• A remediation order your team can start on the same week
• The reasoning behind every finding, so it can be checked

When it fits

• You are about to put an AI system in front of customers
• An audit, a client security review or a regulator is coming
• Something has already gone wrong and you need to know how far it reached