
AI Red Teaming
Attacking your own AI systems the way a determined outsider would, before they do.
Attacking your own AI systems the way a determined outsider would, before they do.
How this is bought: Bought as a one-off assessment with a written report and a priced plan of action. Build an estimate for your case.
These are the platforms we work with on client estates. Where a client already owns a different platform, we work with theirs - ARRIX is not tied to any one vendor.
Trying to make the system ignore its instructions through content it reads.
Attempting to pull training data, system prompts or other users’ information out of the system.
Testing whether an agent can be talked into actions beyond its remit.
Checking where the model and its components came from.
Recording how often defences hold, not simply whether they exist.
We follow the structure and controls these standards describe. We do not claim to be certified against them - where you need a formal certificate, we prepare the evidence and an accredited body performs the audit.
These are the areas clients most often ask us to improve. Your project sets its own targets, measured and agreed with you.
Adversarial testing runs under a signed rules-of-engagement document covering scope, data handling, safety limits and liability. Findings are confidential to you.