AI Ethics, Governance & Security
Guardrails for the failure modes that make headlines.
What we do
We test your system the way an attacker would, not the way a demo would — prompt injection, jailbreaks, data poisoning, and model extraction, the failure modes that don't show up until someone is deliberately looking for them.
We build the guardrails that catch a bad output before a user sees it — input validation, output filtering, and human-in-the-loop checkpoints sized to the actual risk, not a blanket “add more review.”
We write the governance documentation regulators and auditors actually ask for — model cards, risk registers, decision logs — in language your legal team can use without translating it first.
We run a structured risk assessment against frameworks like the NIST AI Risk Management Framework and ISO/IEC 42001, so “is this safe” has a documented answer before someone outside the company asks the question.
What you get
A risk register, a remediation roadmap, and a written record that you looked — the three things that matter most in the room where an incident gets discussed after the fact.
Related capability
Talk through your system.
A discovery call is the fastest way to find out whether this is the capability you actually need.