AI Exposure Assessment

Book 30 minutes.
Know your AI estate in 24 hours.

One read-only administrator consent. Nothing installed on a single device, no traffic proxied, no standing write credentials. By this time tomorrow you will know how many AI agents run in your tenant, what they can reach, who is accountable for each, and which ones can move data out.

Most organisations cannot answer the first question. Not "is our AI secure" - simply how many AI agents do we have. Copilot Studio and Agent Builder let anyone build one in an afternoon, and nothing in the platform maintains a register. The first assessment we ran returned 625 agents at an organisation that believed it had a handful.

What you get, and when

The 30 minutes

A working session, not a pitch. We walk your environment, agree scope, and a tenant administrator grants a read-only application registration. That is the entire setup. If you would rather see it run against our connected tenant data first, we can do that instead and you can decide afterwards.

The next 24 hours

Discovery runs across your agent estate and your identity layer. No software is deployed, nothing is installed on an endpoint, and no user is interrupted. Analysis follows automatically: ownership, autonomy, duplication, tool reach, and the exposure paths that only appear when the whole estate is read as a graph.

What lands on your desk

A board-ready exposure report with a single 0-100 score decomposed into five dimensions, every point traceable to a specific finding, and every finding traceable to the configuration evidence behind it. Plus a work queue ordered by severity, and an explicit list of what we could not measure and why.

From consent to report

Thirty minutes of setup. A day to your first real number.

The only thing we need from you is one administrator granting a read-only application registration. Everything after that runs without touching a device, a user, or your traffic.

STEP 00 Consent One read-only admin consent STEP 01 Discover Agents, identities, connectors, models STEP 02 Analyse Ownership, autonomy, exposure paths STEP 03 Report Board-ready, every point traceable 30 minutes hours 1 - 4 hours 4 - 12 hours 12 - 24 NOTHING INSTALLED - NO TRAFFIC PROXIED - NO STANDING WRITE CREDENTIALS

No obligation at the end. The findings are yours. If the exposure turns out smaller than feared, that is a good outcome and a defensible one to put in front of a risk committee.

What the first assessment found

A mid-market organisation, roughly two thousand seats. Read-only connection, no software deployed, first run.

625AI agents discovered. None had been inventoried.
94at the autonomy tiers that act on systems, with no accountable owner.
274with no directory machine identity - access untraceable to a credential.
0with a declared purpose. Not a low number. Zero.

None of that was negligence. Nothing in Copilot Studio asks who owns an agent, what it is for, or whether anyone should review it before it starts reading production data. The register does not exist until somebody builds one.

What we look at

Every agent, in every environment

Including drafts, including environments nobody remembers creating. With the foundation model behind each one, its data connectors, knowledge sources, publishing channels, autonomy tier, and the machine identity it runs as.

Who is accountable

Business, technical and security ownership per agent, and whether anyone has ever signed a statement of what the agent is for. Without a recorded purpose, no behaviour can be judged out of scope - drift becomes undetectable by construction.

What each agent can reach

Every connector operation an agent can invoke, whether it is live or merely configured, and whether a caller is asked for consent or the agent acts on its builder's credentials. An inventory that says an agent exists and not what it can touch has answered the easy half.

Where the exposure paths are

Which agents ingest content nobody vetted, which can send data outside the tenant, and where those meet - on one agent, or across two that each look clean individually. This is the analysis a browser or endpoint tool cannot perform, because no person is at a keyboard when an agent runs.

Duplication that inflates your count

One agent promoted through dev, QA, staging and production is four records and one agent. We separate deployment replicas from genuine copies, so the number you take to a board is the number of things you actually have to govern.

Executive white paper · 2026

AI Exposure Management: the operating model for governed enterprise AI

Discover every AI agent. Identify ownership. Map identities, tools, data, actions, spend and exposure paths. Prove governance with evidence.

Written for CISOs, CIOs, CFOs and security, IT, risk and finance leaders. No form, no email required.

What it costs you

1
Thirty minutes of one administrator's time

To review scope and grant a read-only consent. That is the whole ask.

2
No software, no disruption

Nothing is deployed to a device. No proxy enters your traffic path. No user notices anything. Govern360 holds no standing write credentials against your stack.

3
No obligation afterwards

The findings are yours. If you decide the exposure is smaller than you feared, that is a good outcome and a defensible one to put in front of a risk committee.

Figures are from a connected tenant, used with permission and anonymised; your estate will differ. Timings assume an administrator is available to consent. Discovery covers Microsoft Copilot Studio, Microsoft 365 Agent Builder, Power Platform and Entra identity. Browser and network layers are available and are not required for the first assessment.

Thirty minutes now. Your estate mapped by tomorrow.

Book a free 30-minute session

One read-only administrator consent. Nothing installed, no traffic proxied. First findings inside 24 hours.