Check Point expands MSP Platform with AI security and unified bundles
With more and more enterprises starting to use AI tools, MSPs need to help customers find, manage, and secure AI use without adding more complexity. Check Point’s MSP platform expansion is addressing that gap.
The company has expanded its MSP platform with new AI security capabilities, multi-tenant management, and unified security bundles aimed at helping MSPs support customers adopting AI.
The update will give partners access to a new MSP platform that includes Management Control Plane access, Workforce AI Security, and expanded Professional Services Automation integrations.
AI Security moves into the MSP Platform
MSP customers are moving quickly with AI tools, agents, and employee-facing AI applications, while many enterprises are still working out how to govern that usage. For MSPs, this gap creates a service opportunity around AI discovery, usage governance, and data protection. Check Point is extending Workforce AI Security into its MSP ecosystem so partners can help customers identify AI usage, manage employee interactions with AI tools, and protect sensitive data across AI applications and agents.
Dave Meister, vice president of MSP/MSSP at Check Point told ChannelE2E, “AI is reshaping both the threat landscape and the expectations customers now place on their service providers. MSPs are no longer just managing infrastructure — they are helping customers navigate AI transformation. With these new capabilities, we’re giving our partners their first opportunity to discover, secure, and govern AI usage, and AI agents at scale in an MSP-friendly monthly consumption model with no minimums or locks in in a multi-tenanted environment.”
Check Point makes its MSP differentiation case
Multi-tenancy alone will not set Check Point apart in a market where ConnectWise, Sophos, SentinelOne, Kaseya, and others already support MSP-oriented platforms. Meister said the difference is the security stack Check Point is putting inside the platform and the way partners can connect AI agents to it.
“Multi-tenancy is table stakes; the differentiation is what's inside it,” Meister said. “At Check Point, we deliver the full security stack, including email, endpoint, browser, mobile, SASE, AI security, awareness training, and DMARC, from one multi-tenant console, where the others are either ops platforms that integrate security or endpoint-anchored stacks. We're also the first to build AI security natively into an MSP platform, and the platform exposes Model Context Protocol (MCP) access so partners can connect their own AI agents directly to automate onboarding and provisioning. Everyone talks about AI helping MSPs operate; we made the platform itself agent-operable.”
The new MSP platform is designed to give partners access to Check Point’s product portfolio in a multi-tenant environment, add AI security capabilities to the platform, and support PSA integrations. The company has also created a dedicated MSP experience team focused on support, onboarding, enablement, and partner success.
Bundles aim to simplify managed security sales
MSPs often struggle with tool sprawl, separate licensing motions, and customer conversations that become too technical too quickly. Check Point also introduced unified MSP security bundles that combine email security, endpoint security, browser security, mobile security, SASE, Workforce AI, security awareness training, and DMARC. The bundles are delivered through a single SKU aligned to partners’ Microsoft licensing. Bundling such controls gives partners a simpler way to price, manage, and explain managed security services across users, devices, email, SaaS applications, networks, and AI environments.
The pricing question is where bundled security can get difficult for MSPs. Bundles can simplify sales, but they can also push partners into price-heavy conversations if the value is not clear.
“We don't publish margin specifics, but the bundles are priced so partner economics beat buying components separately — one SKU and far less overhead is real margin before discount structure,” Meister said. “The race to the bottom happens when bundles strip features to hit a price point. Ours map enterprise-grade security to the Microsoft tiers MSPs already sell, so they compete on efficacy, not discount depth. And monthly consumption with no minimums means partners aren't carrying committed inventory they have to discount to recover, they buy what they deploy.”
The company is also betting that Microsoft-aligned packaging, monthly consumption, and no minimums will make the model easier for partners to take to SMB and midmarket customers.
Where workforce AI security fits
AI security is becoming crowded quickly, with vendors approaching the market from SaaS management, governance, DLP, browser security, and endpoint security. The company is arguing that MSPs need controls closer to where employees are actually using AI tools.
“Most existing tools weren't built for where AI actually runs in an SMB environment,” Meister said. “Cloud Access Security Broker (CASB) was designed for sanctioned SaaS applications. It has no visibility into the long tail of AI tools employees use day-to-day through the browser. Traditional DLP matches patterns in files and emails. It can't inspect a prompt, understand what's being pasted into a coding assistant, or flag sensitive data left inside an AI conversation. And most AI governance platforms are cloud-side dashboards. They show you a report on AI usage, but they can't enforce policy at the point of interaction.”
Meister said Workforce AI Security runs on-device and in-browser, giving MSPs a way to discover AI applications and agents, stop sensitive data from leaving through prompts or AI-generated outputs, and apply policy with audit trails and compliance reporting.
“This is a new space for MSPs,” Meister said. “No other vendor offers this level of AI protection inside an MSP model.”
AI security is starting to move into partner platforms, bundles, and monthly consumption models. MSPs are no longer being asked only to adopt AI internally. They are also being pulled into customer conversations around how AI tools are discovered, governed, and secured. Check Point is positioning the expansion around MSPs that want to move deeper into AI security without adding more operational complexity to their service delivery model.
