Summary

• UK-based inforcer has raised a $50m Series C led by Insight Partners.
• The company provides Microsoft security and AI management tooling for MSPs.
• Demand is being driven by Copilot governance, shadow AI detection, and Microsoft 365 security management for SMEs.

inforcer has raised a $50m Series C to expand its Microsoft security and AI management platform for managed service providers, adding capital to a channel market that is likely to carry much of the AI governance burden for smaller businesses.

The UK-based company’s round was led by Insight Partners, with participation from Meritech Capital and Dawn Capital. inforcer provides a control plane for MSPs managing Microsoft 365 security, compliance, and AI services across multiple customer environments.

The platform includes Copilot Manager, Shadow AI detection, and Threat Detection & Response. It is designed to help MSPs standardise Microsoft security and AI service delivery for small and medium-sized businesses that rely heavily on Microsoft cloud products but lack large internal security teams.

Jamie Daum, chief executive of inforcer, said: “Anthropic’s Claude Code can make anyone a ‘vibe coder’ and Mythos has the potential to make anyone a hacker. The threat landscape has never been more dangerous for SMBs.”

That framing is blunt, but the market problem is practical. Microsoft 365 now carries email, identity, files, collaboration, endpoint management, compliance controls, and AI features for many SMEs. As Copilot and related tools enter routine work, security responsibilities expand from protecting accounts and devices to governing how AI features use permissions, documents, prompts, and organisational data.

Many smaller companies will not create internal AI governance boards or dedicated model risk teams. They will ask existing MSPs to configure controls, manage licences, detect unapproved AI use, restrict risky behaviour, and explain what has changed inside Microsoft tenants. The result is a new services layer around AI readiness, Copilot configuration, security baselines, threat response, and compliance reporting.

MSPs also inherit risk. AI tools can widen the consequences of weak identity controls, poor data classification, over-permissioned files, and misconfigured tenants. If an MSP manages hundreds of customers, repeating manual policy work across each environment becomes expensive and error-prone.

inforcer’s investment case rests on whether that work can be standardised. A shared control plane allows MSPs to manage multiple customers while applying consistent Microsoft security and AI governance patterns. The more Microsoft embeds AI into its productivity suite, the more channel partners need tools that turn scattered configuration work into repeatable service delivery.

The round also shows how AI is reshaping adjacent security categories. The immediate demand is not only for standalone AI safety tools, but for governance inside the platforms where work already happens. For SMEs using Microsoft as their main business system, MSPs may become the practical layer where AI policy turns into operational control.