Shadow AI & agent governance
Your employees already adopted AI without telling you
Staff are pasting company data into consumer chatbots, wiring up unsanctioned agents, and connecting tools you have never heard of. Each one is an ungoverned data-egress point and a compliance gap waiting to be found in an audit.
What this looks like in real life
A finance team lead mentioned, almost in passing, that the month-end close was "so much faster now with the AI". Nobody in IT had approved any AI. A quick look found three different chatbots in regular use, a spreadsheet plugin wired to an external model, and an automation an analyst had built that emailed customer data to a tool no one recognized. Each had been adopted with good intentions, and each was an ungoverned door out of the tenant.
What was at risk
- Customer and financial data pasted into consumer chatbots with no retention control.
- An unsanctioned agent moving data to a third party nobody had vetted.
- A compliance gap that would surface the moment an auditor asked what AI touched their data.
What the engagement produced
Every GenAI app, agent, and connected tool discovered and risk-ranked, each given an owner, and a short governance baseline that let the genuinely useful tools stay under control while the risky ones were shut off.
The fixed-price answer
One diagnostic resolves it
One fixed fee, agreed before any work starts. The number moves with tenant size and how many sites or mailboxes are in scope. Compact scopes cover smaller single-tenant environments where they apply.
The diagnostic
Copilot & Shadow AI Exposure Report
Every GenAI app, agent, and connected tool discovered, owned, and risk-ranked through Defender for Cloud Apps and Agent 365.
What you walk away with
What the evidence looks like
A representative deliverable. Yours is built on your own tenant.
Senior-delivered
One senior engineer scopes it and runs it, start to finish.
Read-only access
Settings and permissions only are inspected. No files are opened and no data is moved.
Fixed scope
A defined deliverable and a definition of done, agreed before anything starts.
Not sure this is the one?
Talk through the problem. The reply confirms whether this assessment fits, or points you to the one that does. The engineer who scopes it is the one on the call.
Talk through the problemWhat happens next
- 1Describe the situationA few short fields: company size, environment, and what is going wrong.
- 2A reply within one business dayA first read of what you sent, and if it is a fit, a private scheduling link.
- 3A fixed-fee proposalNamed scope, price and definition of done. No obligation.
$3,450 to $4,500
Know What AI Is Running