Detect shadow AI, monitor every MCP server and agent, and analyze the AI workflows running across your org — with real-time data protection built in.
Free · 30 seconds · no credit card
AWS Access Key
[email protected] · ChatGPT
Managing AI exposure across
Poe
PoeIllustrative figures — every org's exposure looks different, but the shape of the risk is the same.
0%
of employees admit to pasting confidential company data into a public AI tool
0.0M
prompts sent daily, unmonitored, by the average 5,000-person org
$0.00M
average cost of a data breach, before you count the reputational damage
Hey, can you rewrite this update for our investors — Q3 revenue was $4.2Mblocked, and the staging DB password is still hunter2x9!blocked
The platform
Know exactly how AI is used across your org — before you enforce anything.
Decide what's allowed, for whom, and how — with controls that match each team.
Stop sensitive data leaving the browser — in real time, no proxy, no VPN.
Built for the teams on the hook
We went from zero visibility to a full map of every AI tool in use on day one. Turning on blocking was the easy part.
No proxy, no VPN, deployed through Intune in an afternoon. It caught source code heading into ChatGPT in the first hour.
Finally a control I can hand to the board. It shows adoption and risk in numbers, not vibes.
The shadow-AI report alone paid for it. We had no idea half those tools were even in use.
Redaction instead of hard-blocking meant zero pushback from employees. Adoption was frictionless.
Rolled it out across 600 seats with our existing Jamf setup. Nothing else to run.
We went from zero visibility to a full map of every AI tool in use on day one. Turning on blocking was the easy part.
No proxy, no VPN, deployed through Intune in an afternoon. It caught source code heading into ChatGPT in the first hour.
Finally a control I can hand to the board. It shows adoption and risk in numbers, not vibes.
The shadow-AI report alone paid for it. We had no idea half those tools were even in use.
Redaction instead of hard-blocking meant zero pushback from employees. Adoption was frictionless.
Rolled it out across 600 seats with our existing Jamf setup. Nothing else to run.
Rolled it out across 600 seats with our existing Jamf setup. Nothing else to run.
Redaction instead of hard-blocking meant zero pushback from employees. Adoption was frictionless.
The shadow-AI report alone paid for it. We had no idea half those tools were even in use.
Finally a control I can hand to the board. It shows adoption and risk in numbers, not vibes.
No proxy, no VPN, deployed through Intune in an afternoon. It caught source code heading into ChatGPT in the first hour.
We went from zero visibility to a full map of every AI tool in use on day one. Turning on blocking was the easy part.
Rolled it out across 600 seats with our existing Jamf setup. Nothing else to run.
Redaction instead of hard-blocking meant zero pushback from employees. Adoption was frictionless.
The shadow-AI report alone paid for it. We had no idea half those tools were even in use.
Finally a control I can hand to the board. It shows adoption and risk in numbers, not vibes.
No proxy, no VPN, deployed through Intune in an afternoon. It caught source code heading into ChatGPT in the first hour.
We went from zero visibility to a full map of every AI tool in use on day one. Turning on blocking was the easy part.
How it works
Three steps. No proxy, no VPN, no professional-services engagement.
Push the extension through Jamf, Intune or GPO. Pre-configured — no proxy, no VPN.
Every AI tool in use and where sensitive data flows — before you enforce a thing.
Allow, redact or block across every AI tool — enforced in milliseconds.
Pricing
Answer a few quick questions and we'll email tailored pricing within one business day — no sales call needed to see the numbers.
Minimum 10 users
Minimum 25 users
100+ users
FAQ
Everything IT and security teams ask before rolling out Slopfence.
Talk to a real human — we reply within one business day.
Go deeper
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