How does Lavawall discover SaaS use without an agent on every browser?

It reviews email metadata against a carefully curated list of 1,277 known SaaS applications. That approach limits false positives and tells you how many people use a service and exactly who they are, without scraping browsing history.

Why is my firewall's app list not enough?

A firewall shows thousands of different applications your users might be touching, with no sense of which ones hold company data or who actually signed up. That noise makes real governance impossible. Lavawall turns it into a named, prioritized picture.

Does this help with rogue AI and shadow IT?

Yes. Unsanctioned AI tools and shadow SaaS are exactly what the discovery surfaces: which services are in use, and by whom, so you can sanction, block, or bring them under governance.

SaaS data governance

Rogue AI? Shadow IT? Now you can see it.

Lavawall® reviews email metadata against a curated list of 1,277 SaaS applications to show how many people, and exactly who, use each service. Your firewall shows thousands of apps and tells you nothing useful. Named users are what turn governance from guesswork into action.

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1,277 curated SaaS apps · named users · low false positives

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See it in the Lavawall® console

Real screens, shown with example data.

The SaaS Discovery page in the Lavawall console, showing the summary cards, scan status, apps by category and by app / by user views, with example data. — **SaaS Discovery.** Use it to turn on email scanning, review apps, and confirm or reject a detection. How to use the SaaS Discovery page

AI tools found by SaaS Discovery, including Copilot, Fireflies.ai, Claude, ChatGPT, Gemini, Grammarly, Fathom, Fellow.app and Plaud.ai, with user counts, how each was detected, and first and last seen dates. — **AI tools in use.** Copilot, ChatGPT, Claude, Gemini and note-taking apps, with how many people use each one and when it was first and last seen. What is shadow AI?

From noise to a named list

Curated to cut false positives

Matching against 1,277 known SaaS applications keeps false positives down, so the list you review is real usage rather than every domain a browser ever touched.

Who, not just how many

See the actual people using each service. That’s the difference between “something’s out there” and a conversation you can act on.

Catch rogue AI early

Unsanctioned AI tools are the fastest-growing shadow-IT risk. Discovery surfaces them so you can sanction, block, or govern before company data walks out the door.

Governance you can defend

Turn discovery into policy: approve what belongs, retire what doesn’t, and show an auditor you actually know where your data lives.

1,277 curated SaaS apps matched
7,400+ apps in the public catalogue
Search and filter by category
Mark the approved tool in a category to expose the rest
Named users as well as counts
Rogue-AI and shadow-IT flags

Need a SaaS governance policy that sticks?

ThreeShield, the CISSP/CISA team behind Lavawall®, will help you triage what discovery finds and build governance your leadership and your auditors accept.

Book my free consultation

Common questions

How does discovery work without a browser agent?: It reviews email metadata against a curated list of 1,277 known SaaS apps, which keeps false positives low, and it names the actual users.
Why isn’t my firewall’s app list enough?: A firewall shows thousands of apps with no sense of which hold company data or who signed up. Lavawall® turns that into a named, prioritized picture.
Does this help with rogue AI?: Yes. Unsanctioned AI and shadow SaaS are exactly what it surfaces, so you can sanction, block, or govern them.

Start my free trial →