Add AI Security to Your MSP Offering

Your clients are already using AI tools - most without IT approval. That's a real problem. It's also a real revenue opportunity for the MSPs who move first.

Shadow AI isn't a future risk category. It's happening at every SMB you manage, right now, with no controls in place. According to data published on amithos.com, over 70% of employees use unsanctioned AI tools at work. Your clients' employees are among them - and when they paste customer data, financials, or credentials into ChatGPT or Copilot, that data leaves the client's environment entirely.

Most of those clients don't have a solution. Most don't even know they need one yet. That's the MSP opportunity.

AI security recurring revenue for MSPs: how the model works

Amithos EverShade offers a straightforward MSP partner model. You purchase EverShade at a wholesale per-seat rate and set your own client-facing price. The difference is your margin. There's no per-client infrastructure to manage, no complex licensing to administer, and no minimum seat commitment.

The deployment model is the reason this fits cleanly into an existing MSP stack: EverShade deploys via Microsoft Intune, Group Policy, or any MDM platform. If you're already managing client devices through Intune or an RMM, you can roll out EverShade through the same workflow you use for every other managed endpoint. No end-user installation steps. No user training required.

That combination - meaningful protection, MSP-familiar deployment, clean margin - is what makes AI security a viable recurring revenue line rather than a consulting engagement that requires deep customization per client.

MSP tools for shadow AI risk: what you're actually selling

The conversation with a client doesn't start with "AI security." It starts with questions they already have:

  • "Are our employees putting customer data into ChatGPT?"
  • "We use Microsoft Copilot - is our data safe?"
  • "What happens if an employee pastes a contract into an AI tool?"
  • "We need to show our cyber insurer we have AI governance in place."

EverShade answers all of those questions with a single deployment. Sensitive data is detected and redacted before it reaches any AI tool's servers. The protection covers ChatGPT, Microsoft Copilot, Google Gemini, Claude, and other supported tools - not just one vendor. And because no sensitive data leaves the browser, there's nothing to disclose to an insurer about AI-related data exposure.

From the client's perspective, nothing changes for their employees. AI tools keep working. Productivity stays intact. The risk is just gone.

White-label AI data protection: where the MSP opportunity is heading

The MSP market for AI data protection is early. That's what makes the timing relevant. The clients who buy this now will renew it. The MSPs who position it correctly will own the category in their client base before it becomes a commodity offering from larger vendors.

The Amithos EverShade Founding MSP program is open to the first 100 MSPs - with rate protection and dedicated onboarding included. If you're evaluating whether AI security belongs in your stack, the conversation takes 30 minutes.

See the MSP partner program - wholesale pricing, Intune-native deployment, and the margin model explained.

MSP Partner Details

Frequently asked questions

MSPs can add AI data protection by partnering with a vendor like Amithos EverShade, which offers a wholesale MSP pricing model. The MSP deploys EverShade via Intune or MDM to client devices, sets their own client-facing price, and earns the margin between the wholesale cost and the client price. No additional infrastructure is required.
AI security is a strong recurring revenue line for MSPs because shadow AI risk is a genuine concern at every SMB, the tools to address it are subscription-based, and the deployment uses MDM or Intune - the same toolchain MSPs already manage. MSPs set their own margin on top of the wholesale per-seat cost.
EverShade deploys via Microsoft Intune, Group Policy, or any MDM platform. No end-user installation steps are required. For MSPs managing client devices through RMM or Intune, deployment goes through the same workflow already in place for every other managed endpoint.