AI security & governance

which AI tools are in use, and what can they reach?

AI adoption runs ahead of governance, and company data flows into outside models before anyone judges what's safe.

We help you see which tools are in use, govern where data goes, and set real rules instead of a ban.

We audit environments built on

78%

of people who use AI at work bring their own tools

Microsoft, 2024

47%

of deployed AI agents are actively monitored or secured

Gravitee, 2026

87%

of companies call AI vulnerabilities the fastest-growing cyber risk

World Economic Forum, 2026

start with the question

AI adoption is mostly a good thing. Your teams move faster with it, and banning it sends the same use underground.

The exposure lives in where the data goes: contracts, customer records, and source code moving into external models, quietly, on personal accounts and OAuth grants nobody read.

Governance starts with seeing what's in use. Then classification and clear guidelines, rather than a blanket ban. Below are the recurring versions of the problem. Start wherever matches what you're seeing.

our guides on AI security and governance

How to govern AI use in your company: a framework for European organizations

A five-step AI governance framework for European organizations: visibility, data classification, an approved-tool list, technical controls, and employee education.

The EU AI Act for companies that use AI: a deployer's guide

What the EU AI Act means for companies that use AI tools: the deployer role, prohibited practices, AI literacy, transparency duties, penalties, and the timeline.

Building an AI inventory and register

A field-by-field guide to building the AI register the EU AI Act presumes you hold, with sources to populate it and a tier-and-role classification path.

A buyer's guide to AI security tooling

How to choose AI security tooling: see your current AI use first, understand the five control layers, and buy against the one gap your inventory names.

Where your company data actually goes when employees use AI

A practical guide for European CTOs to the five AI data-flow patterns, the questions that vet each one, and how to map and control them without banning the tools.

AI governance tooling: a buyer's guide for deployers

How to choose AI governance tooling as a deployer: build the register and policy first, size your need, and buy a platform only when manual tracking breaks down.

the other blind spots

Former employees still have the keys. Contractors and leavers keep authenticating months after they left. 83% of former employees keep access to at least one company app after leaving (Beyond Identity).

Your highest privilege sits behind a password alone. Admin accounts run without MFA, and the use of stolen credentials was involved in 36% of breaches (Verizon DBIR 2026). A shared admin login is worse, because when something happens, you cannot say who was behind it.

Nobody owns the service accounts. Technical accounts created for forgotten projects still hold broad access, assigned to no one and reviewed by no one.

Access outlived the job. A role change added new permissions and removed none, so people carry access several jobs deep.

This is the layer to see first, before you spend any money on a pentest, a compliance certification, or an identity platform.

You cannot fix, certify, or defend access you cannot see.

let's start with a conversation

Most first conversations start with not quite knowing what you have or where to begin. That's normal, and it's exactly where we're useful.

Tell us what prompted this. An upcoming audit, an incident, a client's security questionnaire, or just a sense that things have gotten messy.

We'll take it from there

Julian Machowski
Head of Technical Sales
+48 783 762 997
julian@unshadowit.com
Let's connect on LinkedIn
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