Shadow AI Discovery Scanner
You cannot govern what you cannot see. The Shadow AI Discovery Scanner surfaces the AI tools, agents and integrations already in use across your organisation — including the ones nobody approved — before they turn into an incident.
The invisible threat landscape
Staff adopt AI tools faster than any approval process runs. Documents get pasted into consumer chatbots, browser extensions read internal systems, and departmental subscriptions appear on personal credit cards.
Traditional security tooling was not built to look for this. It watches for malware and unauthorised access, not for an employee quietly sending customer data to a service with unclear retention terms.
The result is real exposure with no register behind it: no record of which tools are in use, what data they receive, who is accountable, or what the vendors are permitted to do with the information.
Multi-vector discovery
The scanner examines the organisation from several angles rather than relying on one signal, so usage that hides from one method is caught by another.
It looks for known AI services and assistants, browser extensions with data access, integrations and automations wired into your existing systems, and patterns that suggest sensitive material is leaving the organisation.
Findings are ranked by risk so leadership can deal with the material exposure first instead of drowning in a flat list.
From discovery to governance
Discovery is the starting point, not the deliverable. The output feeds a practical policy: which tools are approved, what data may go near them, who signs off new ones and how staff request them.
That path is deliberate — banning everything drives usage further underground. Our board advisory work covers the governance framework that sits on top of the findings.
The scanner is in early access. Join the list on this page, or email alan@insight-ai-systems.com to discuss a discovery engagement now.