AI in your environment.Without opening a hole in it.

We are security practitioners who implement AI. That means the model, the data path, the access controls and the evidence trail all get designed together, so the thing you ship survives your next audit and your customers' questionnaires.

See what we do

We work to ISO/IEC 42001, NIST AI RMF, SOC 2 and ISO/IEC 27001.

AI control coverageSample output

GOVERN 1.1

AI policy and roles definedOwnership, escalation, review cadence

Covered

MAP 2.3

System inventory and use-case registerShadow AI discovery included

Covered

MEASURE 2.7

Data boundary and retention testingPrompt, output and log retention

Partial

MANAGE 4.1

Third-party model risk reviewSubprocessor and DPA coverage

Partial

A.6.2.2

Impact assessment before deploymentISO 42001 Annex A

Gap

Every engagement starts here: what you have, what is missing, what an auditor will ask first.

Tools we build with

Five things companies call us about

Most arrive with a deal stuck behind a security review, or a board that has asked how AI is being governed. We handle both ends, the paperwork and the build.

ISO/IEC 42001 readiness and assessment

For companies asked to prove AI is governed, or planning to certify.

Gap assessment against the AI management system standard, then the policy set, risk process and evidence needed to pass a certification audit.

NIST AI RMF alignment

For boards and risk committees asking how AI risk is being managed.

Map your AI use against govern, map, measure and manage, producing a risk profile a board or a regulator can actually follow.

Vendor security questionnaires

For sales teams with a deal sitting behind a security review.

We answer SIG, CAIQ, AI addenda and bespoke enterprise questionnaires, then build the answer library so the next one takes hours.

AI and automation delivery

For teams ready to build, who need it done inside their controls.

Implementation in your environment, with data boundaries, access control and logging designed in rather than bolted on afterwards.

Audit preparation

For teams with an audit dated and evidence scattered.

Evidence collection, control mapping and a mock audit, so the real one has no surprises in it.

Full service detail

Most AI consultants have never sat through an audit

That is the gap. Implementation is the easy part now. The models are good and the tooling is mature. What stalls projects is everything around them: where the data goes, who can reach it, what gets logged, what you tell a customer who asks.

We came out of cybersecurity, not out of a prompt-engineering course. We build the system and the evidence at the same time, because retrofitting governance onto a live AI deployment costs more than doing it once, properly.

Tell us what is stuck.

One call, thirty minutes, no pitch deck. We will tell you plainly whether we can help and what it would take.

Send a message