JumpCloud has released new artificial intelligence capabilities aimed at enhancing the security and management of AI adoption within enterprises. The features include automated detection of shadow AI usage, centralized insights into user activity, and a zero trust framework for managing AI access. These capabilities are designed to integrate with existing AI tools and include an AI Admin Assistant for streamlining administrative tasks. The release does not specify pricing details or availability timelines but positions itself as a means to enhance compliance and control over AI usage across organizations.
ControlUp has released “ControlUp for MSPs,” a multi-tenant platform specifically designed for managed service providers (MSPs). This platform allows for automated endpoint management and provides features such as a tenant manager for real-time visibility across customer environments, flexible license pooling, guided onboarding, and proactive remediation. The offering integrates with existing MSP tools, including ITSM platforms like ServiceNow and endpoint management solutions such as Microsoft Intune and Azure Virtual Desktop. ControlUp for MSPs will be available globally through partner events and webinars.
Resolvely is a new MSP ticket management platform developed by Sarthak Pattanaik, launched today. Key features include a three-tier role-based access control system for users, engineers, and admins; an AI-powered chatbot for conversational ticket creation; and a summary agent using LangGraph for efficient ticket status updates. The platform aims to improve the efficiency of ticket management by reducing user cognitive load and enhancing data quality. Future enhancements may include SLA management, a proactive knowledge base, and omnichannel support.
Why do we care?
MSPs are being handed more automation, more AI, and more “insight,” but very little clarity about who’s actually in charge when something breaks.
JumpCloud talks about controlling AI usage. Fine. But unless you can enforce policy—not just detect violations—you’re not providing governance. You’re providing logs. And logs don’t stop incidents; they just explain them afterward. Guess who clients blame when the explanation isn’t good enough. That’s the value the MSP brings.
ControlUp is even more direct. Automated remediation across tenants is operationally necessary. It’s also dangerous if MSPs don’t slow down and define authority. If a system fixes the wrong thing at scale, the damage isn’t theoretical. It’s contractual, reputational, and financial.
Resolvely is interesting because it goes upstream. Most MSPs are drowning not in tickets, but in bad inputs. If AI can reduce cognitive load and improve data quality, that’s real leverage. But only if it integrates cleanly and doesn’t become yet another partial system that fractures accountability.
The dangerous behavior to watch for: MSPs selling “AI-powered” control without redefining responsibility. That leads to silent risk accumulation—automation making decisions, AI shaping outcomes, and no one clearly accountable.
Automation is accelerating faster than governance. If MSPs don’t deliberately claim—or limit—authority, clients will assume it’s already theirs. And when something fails, that assumption becomes a liability.
The takeaway is simple but uncomfortable: control is not a feature. It’s a responsibility—and if you don’t claim it deliberately, you inherit it by default.