Detect Shadow SaaS Before It Becomes a Security Incident
Your IT inventory shows 47 tools. Your employees signed up for 213. The difference is your real attack surface.
Who this is for
IT Directors, Security leads, and CISOs at 100–1000 person organizations.
When this happens
Pre-audit prep (SOC 2, ISO 27001), a recent shadow-IT incident, or board pressure to quantify SaaS risk.
The workflow
- 1.Connect Google Workspace or Microsoft 365 — SeatMap reads OAuth grant logs and email signup events.
- 2.Every third-party SaaS your employees ever signed into surfaces in the inventory.
- 3.Each is scored by data-sensitivity (read scopes), user count, and AI-vendor risk.
- 4.High-risk shadow SaaS (AI tools with data egress, undisclosed file shares) gets surfaced first.
- 5.Sanction, sandbox, or revoke per app. Logged for the audit.
What SeatMap detects
OAuth grant from a vendor not in your sanctioned listexternal file share to an unknown domainAI assistant with broad read scopesduplicate categories of shadow tools
Tools this works on
- Google Workspace
- Microsoft 365
- Okta
- 1Password
Outcome
Median customer surfaces 3–5x more shadow SaaS than their existing inventory captured, in the first scan.
FAQ
Will employees see we found their shadow tools?
Only if you choose to notify them. SeatMap's default is silent discovery so you can build a sanctioning workflow without surprising anyone.
Does this work for shadow AI specifically?
Yes — there's a dedicated AI-vendor risk score that flags any tool with model-training data access, broad read scopes, or recent breach history.
What about apps that don't use OAuth?
SeatMap also parses email signup confirmations from your shared inboxes, which catches most non-OAuth SaaS signups.
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Start the workflow above in under 2 minutes.
Read-only OAuth. Free audit. Keep the Receipt whether you upgrade or not.