Key Takeaways

  • A $50 million Series C will fund the expansion of a Microsoft 365 security and AI management platform for managed service providers.
  • Demand is growing as small and mid-sized businesses adopt AI-enabled cloud products without adding dedicated security personnel.
  • An MSP-focused distribution model enables smaller organizations to apply governance and security controls across many Microsoft 365 tenants.

Managed service providers face a widening assignment: securing Microsoft 365 today while preparing small and mid-sized clients for an increasingly AI-heavy workplace.

To address this demand, Inforcer has raised a $50 million Series C to expand its security and AI management platform for MSPs. Rather than selling primarily to individual small businesses, the company provides software that MSP teams use to manage security settings, policies, and risks across multiple customer environments.

Many smaller companies depend on Microsoft 365 for identity, email, document storage, and collaboration, but they often lack an internal security team capable of monitoring every configuration change. MSPs fill that gap. In practice, an MSP may oversee dozens or hundreds of separate customer tenants, each with different users, licenses, and risk profiles.

AI adds another layer. Copilot-style assistants and other generative AI features draw on corporate documents, messages, and stored data, making identity permissions and information controls more consequential. A poorly governed account is no longer only an email-security issue; it can become an entry point to a much broader pool of business information.

Small businesses want the productivity benefits of AI, but few have spare employees available to build a formal governance program around it. Gartner estimated in 2024 that 65% of SMBs will rely on managed services for core security and infrastructure operations by 2027. This trend gives MSPs an opportunity to provide AI oversight as a recurring service, rather than leaving each client to interpret Microsoft’s expanding collection of administrative controls.

Managing these controls across clients creates operational pressure. MSPs need ways to identify configuration drift, apply consistent policies, and demonstrate that controls are active across customer environments. Doing that tenant by tenant, through separate administrative consoles and manual checklists, can become expensive and prone to inconsistency.

Governance standards offer direction, though translating them into routine work requires specific implementation. The NIST AI Risk Management Framework calls for structured governance, measurement, and ongoing management of AI-related risks. For an MSP, that translates into practical tasks such as maintaining inventories, reviewing access, protecting sensitive data, and monitoring how AI capabilities are enabled.

Information-security programs are also frequently organized around ISO/IEC 27001, which sets out requirements for an information security management system. The startup's approach simplifies the operation of controls associated with such frameworks across small-business Microsoft 365 tenants, reducing repetitive administrative work rather than simply producing another dashboard.

Can MSPs turn that operational role into a durable AI security business? Forrester reported in 2023 that more than 60% of MSPs planned to offer AI-driven security and automation services within two years. IDC projected in 2024 that global spending on AI security and risk management tools would reach roughly $30 billion by 2027.

Huntress, Datto, and Arctic Wolf already serve MSPs with various combinations of security monitoring, detection, response, and operational tooling. The new platform is taking a narrower route by concentrating on unified Microsoft 365 security and AI management for smaller customer tenants.

That focus could be an advantage if the software remains closely aligned with MSP workflows. It could also create platform concentration risk, since product changes within Microsoft’s ecosystem can alter customer requirements quickly. Still, specialization has a practical appeal, as MSP technicians generally avoid adopting broad enterprise products adapted awkwardly for multi-tenant use.

The $50 million round reflects a shift in where AI governance is carried out for smaller organizations. In many cases, the work will fall not to newly hired internal specialists, but to MSP personnel using platforms such as Inforcer to apply policies, monitor Microsoft 365 environments, and explain emerging risks to clients.