MSPs already do something no one else does. You know your clients’ environments inside and out: the infrastructure, the data flows, the compliance requirements, and the vulnerabilities that keep business owners up at night. You are, by definition, a trusted security provider. 

The AI conversation shouldn’t feel any different. Most vendors approach AI as a product sale. MSPs approach it as a risk to manage first, and that instinct is exactly right. 

The Real Problem MSPs See Every Day 

Your clients are using AI today. Employees are putting company data into ChatGPT, Claude, Gemini, and Copilot without asking permission and without IT knowing where that data goes once it leaves the building. 

This isn’t new behavior. It’s the same pattern MSPs have managed for years with shadow IT and unsanctioned tools. Except the stakes are higher now. AI tools don’t just store data in the cloud. They can ingest it into training pipelines, log conversations, and open new attack surfaces. 

Your clients know this is happening. They’re stuck between two bad options: ban AI entirely, which isn’t realistic in 2026, or ignore the risk and hope for the best. The gap between “we need AI” and “we need AI to be safe” is where MSPs belong. 

That gap between "we need AI" and "we need AI to be safe" is where MSPs belong.  

You Already Own This Conversation  

Security conversations are nothing new for you. You run vulnerability scans, manage patch cycles, enforce password policies, and audit access. You’ve built trust by proving you care more about protecting the business than moving units. Secure AI is the natural next step in that same mission. 

When you walk into a client meeting and show exactly which AI tools are running on their network, who’s using them, and what risk each one poses, it doesn’t feel like a product pitch. It feels like the advice they hired you to give. 

How Shadow AI Detection Works in Activate 

Shadow AI Detection is a diagnostic tool, not a sales tool, and diagnostics are what MSPs do. A few things set it apart: 

• It shows what’s actually happening. No surveys or guesswork. The report surfaces tools found in browser history, installed as apps, and added as browser extensions. Real data from real devices. 

• The risk model is one you already use. High, Medium, Low. The highest-risk tool found anywhere in the environment becomes the business’s risk score, because the worst case is the one that matters. 

• It positions you as the expert, not the police. You’re not there to shame employees or ban tools. You’re there to say: here’s what’s happening, here’s why it matters, and here’s how we manage it safely. 

• It leads naturally to managed AI. Once a client understands their shadow AI exposure, the next question is how to standardize on tools that are secure, approved, and monitored. That’s your managed AI service, and it’s recurring revenue. 

Why This Is a Pillar of Hatz's Mission 

Hatz exists to make AI safe and productive for businesses. We don’t believe that means banning AI. It means managing it, the same way MSPs have managed every technology shift for the last two decades. Shadow AI Detection is built directly into Hatz Activate because MSPs aren’t just trying to sell AI. You’re protecting your clients while giving them the tools they actually want to use. 

The MSPs Who Move First Own the Relationship 

Many of your competitors are still working out their AI story, either overselling it as magic or ignoring it. You have a better option: help clients see their shadow AI risk clearly and build a safe, managed approach that works for their business. 

That conversation doesn’t need a slide deck. It needs one honest report of what’s actually happening on their network. Sign in or sign up today to run your first Shadow AI report.