AI entered your organisation through your people and your SaaS suppliers. A policy on paper does not tell you which AI actually runs today.
The situation
Your people embrace AI faster than you can keep track of it. The figures show what that does to your risk.
63%
without an AI governance policy
Nearly two thirds of affected organisations had no working AI governance policy, or were still developing one. A document in the making does not control usage that is already happening.
IBM Cost of a Data Breach 2025 (TODO-HANS verify)
97%
AI incidents without access controls
Almost all organisations that reported an AI incident lacked proper AI access controls. That has made AI an attractive and valuable target.
IBM Cost of a Data Breach 2025 (TODO-HANS verify)
20%
one in five: a shadow AI breach
One in five organisations had a breach through shadow AI. High levels of shadow AI added hundreds of thousands to breach costs on average, with more personal data and intellectual property exposed.
IBM Cost of a Data Breach 2025 (TODO-HANS verify)
Your board wants assurance that AI is controlled, especially now the EU AI Act and NIS2 ask for it. A policy document is not an answer. Demonstrable visibility of which AI runs and what it does with your data, that is.
The difference
Four choices on which a working AI-SPM approach sets itself apart from policy and blocking.
An acceptable-use policy and a few blocked tools. Usage shifts to what you cannot see.
Continuous discovery of all AI: your own deployments, your SaaS AI and the shadow AI. You control what you can see.
Only what a single tool happens to see, often limited to your own cloud or to data traffic alone.
Your own AI deployments, your procured SaaS AI and the unsanctioned shadow AI, in coherence.
A scan or audit that ages immediately, because AI adoption does not stand still.
A managed service with a fixed cadence and an owner, not a one-off project.
A document that suggests compliance, but proves no enforcement and no visibility.
Which AI runs, which data it touches, and that it is controlled. Evidence that holds up.
The architecture
How loose AI signals become a continuous, controllable picture.
The distinction
We sell the diagnosis and the cadence, not a tool.
AI-SPM means two different things in the market. For many providers it is about scanning your own models in the cloud. Our focus is on controlling AI usage: which AI your people and your suppliers use, which shadow AI runs, and what vendor risk that brings. We map it, prioritise by business impact and run the cadence alongside you.
We start with visibility: which AI actually runs, and what it touches. Not the rollout of a tool, but a picture you can steer on.
We choose capability and outcome over a specific platform. Tools are a means, your grip on AI is the goal.
The senior who advises you also runs the cadence. Continuously in view and with ownership, instead of a report thrown over the fence.
Get started
Start with visibility of which AI your organisation runs and what it does with your data. After that we keep it continuously in view.
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