Solution / Shadow AI

Find every AI tool your employees actually use.

Shadow AI is every AI tool used in your organization without approval or oversight, prompts pasted into ChatGPT, AI browser extensions reading internal documents, local models, coding agents calling internal APIs. Patronus discovers this usage directly on the endpoint, at the network layer, across every app and provider, including tools your security stack has never heard of. No cloud routing, no per-tool integrations.

Why your current stack can't see it

CASB sees the SaaS, not the prompt

Cloud access brokers know chatgpt.com was visited, not that customer data was pasted into it.

DLP sees encrypted bytes

Classic DLP inspects file transfers. AI prompts travel inside encrypted API calls it can't interpret.

Firewalls see a destination

A domain allow-list can't distinguish harmless AI use from an agent exfiltrating your source code.

How Patronus discovers shadow AI

1

Network-layer detection

A lightweight endpoint component identifies AI traffic across all apps and browsers, provider-agnostic, before encryption hides the signal.

2

AI inventory

Every discovered tool, model and provider lands in a live inventory: who uses what, how often, with which risk profile.

3

From visibility to control

Once usage is visible, define policies: allow, monitor, or block specific AI systems, enforced locally on the device.

Built for real environments

Any AI

tool, model or provider, no integrations needed

<10 ms

per AI detection, on-device

100%

local analysis, no cloud routing

FAQ

Shadow AI, frequently asked questions

Shadow AI is the use of AI tools, models or AI-powered features inside an organization without the knowledge or approval of IT and security teams, from ChatGPT in the browser to AI extensions, local LLMs and embedded AI features in SaaS products.