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12/06/2026 12:12 am
TL;DR: MSP modernization shifts the business from reactive support to identity-centric services, including ZTNA, EDR, SIEM, AI management, cloud operations, and SaaS governance, according to JumpCloud. For identity teams, the real issue is that service delivery, client trust, and compliance now hinge on whether access, endpoints, and shadow AI are governed as part of one operating model.
NHIMG editorial — based on content published by JumpCloud: modern MSP identity security and service modernization
Questions worth separating out
Q: How should MSPs govern identity when they expand into security and cloud services?
A: MSPs should govern identity as part of the service design, not as a back-end administrative task.
Q: Why does shadow AI matter to managed service providers?
A: Shadow AI matters because MSPs that help customers adopt AI also influence what data those tools can reach and which identities can use them.
Q: What do clients actually expect from an identity-centric MSP?
A: Clients expect repeatable control over access, not just faster support.
Practitioner guidance
- Inventory delegated identities across every managed service Document which human admins, service accounts, support roles, and automation paths can touch each client environment, then tie each to a named owner and approval process.
- Define AI access boundaries before offering AI management Set explicit rules for approved tools, allowed data types, human review points, and exception handling so AI services do not become uncontrolled shadow AI coverage.
- Unify lifecycle governance across client services Make onboarding, offboarding, privilege review, and audit logging consistent across SaaS, endpoint, cloud, and identity services rather than handling each in a separate workflow.
What's in the full article
JumpCloud's full blog post covers the operational detail this post intentionally leaves for the source:
- A service-portfolio view of how MSPs can package ZTNA, EDR, SIEM, AI management, cloud services, and SaaS oversight into recurring offers.
- The article's framing of modernization as a route to revenue growth and stronger retention, which can help when aligning commercial and operations teams.
- Practical examples of how an MSP can position identity-focused security as part of a broader managed service model.
- The source article's own narrative on talent attraction, operational efficiency, and client loyalty in a modernised MSP.
👉 Read JumpCloud's analysis of how MSP modernization changes identity-centric services →
MSP modernization: what identity-centric operations change for clients?
Explore further
12/06/2026 9:18 am
MSP modernization is an identity governance problem disguised as a service strategy. The article treats modernization as a route to new revenue, but the deeper change is that MSPs increasingly operate as delegated identity administrators across client stacks. That means human access, SaaS entitlements, endpoint control, and AI management are converging in one delivery model. Practitioners should evaluate MSP modernization as a control-plane redesign, not just a growth plan.
A few things that frame the scale:
- 70% of organisations grant AI systems more access than they would give a human employee performing the exact same job, according to the 2026 Infrastructure Identity Survey.
- 67% of organisations still rely heavily on static credentials despite the risks they pose to agentic AI deployments, according to the 2026 Infrastructure Identity Survey.
A question worth separating out:
Q: How do you know if an MSP is modernized in a meaningful way?
A: A modernized MSP shows operational consistency across services, not just a larger product list. Look for unified onboarding and offboarding, standard access approval, visible logs, and clear ownership for delegated administration. If those controls differ wildly by service line, the MSP is scaling complexity rather than maturity.
👉 Read our full editorial: Modern MSP identity security depends on identity-centric operations
