The content team at the MSP Summit site tracks stories of interest to the managed services provider community. Anyone selling managed services or partnering with MSPs will want to know about these developing stories or catch up on stories they have missed. All links are current as of Aug. 10.
Managed Security Services Redraw Channel Lines
Enterprises are projected to spend around $310 billion on cybersecurity this year, and Omdia expects more than 90% of it to move through partners. That money is pulling every kind of channel firm into the same business. Technology advisors have launched cybersecurity consulting units. Managed service providers are pushing deeper into managed security services and vendors are folding point products into unified platforms. The big consulting firms are also building midmarket security practices. Read the Channel Dive story.
Pax8 Backs GTIA Alliance for Vendor-Neutral AI Standards
Pax8 is serving as the initiating member of the Global Technology Industry Association (GTIA)’s Managed Intelligence Alliance. The alliance will establish standards and governance for managed AI services as solution providers add the technology to their portfolios. Ryan Walsh, chief strategy officer at Pax8, said the company brought the managed intelligence concept to GTIA because of a need for common standards beyond one vendor’s partner ecosystem. Read the Channel Insider story.
Mark Zuckerberg on the Future of AI
Meta CEO Mark Zuckerberg wrote a 6,500-word blog post explaining his vision for AI on the same day Meta announced its new Muse Glimmer AI model. Read his post.
ConnectWise Deepens SentinelOne Partnership
ConnectWise is doubling down on managed security services through an expanded SentinelOne partnership. The IT services software company provides an outsourced security operations center to MSPs, but its SOC uses underlying technology from SentinelOne, Microsoft, Proofpoint, Bitdefender and other vendors. Rather than acquiring or building cybersecurity solutions in-house, the firm has relied on OEMs for advanced tools while building out its core MSP capabilities. Read the Channel Dive story.
The MSP AI Challenge: Sell It, Price It, Make It Profitable
The week started with Black Hat 2026 and ChannelCon 2026 - and both the events brought many conversations to the surface - and yes, AI was everywhere again. No surprise there. But the conversation actually seems a little different this time. It is no longer about whether MSPs should be using AI, but a lot more about what they are actually going to do with it as a business. What does an AI service look like? What do you charge for it? Is it a one-time project, or can you turn it into something customers pay for every month? Read the ChannelE2E story.
StorMagic Urges Flexible VMware Migrations for MSPs
Broadcom’s acquisition of VMware has given MSPs an opportunity to rethink how customer workloads are deployed, but StorMagic Channel Chief Scott Mann does not expect most businesses to abandon VMware through a single, sweeping migration. Instead, Mann sees small and midsize businesses adopting multiple virtualization platforms, repurposing existing hardware and moving individual workloads according to their technical and financial requirements. Read the Channel Insider story.
Nutanix Cloud Platform gains MCP server, AI updates
Nutanix launched a model context protocol (MCP) server for its Nutanix Cloud Platform (NCP) that is designed to support NCP users in tapping AI tools to automate multi-cloud operations. The Nutanix MCP server is an open-source software tool that uses Nutanix’s Prism v4 API to link AI agents and developers with NCP. It acts as a secure passthrough between AI assistants like GitHub Copilot, Claude Code, and Cursor to translate “plain-English requests” into “precise infrastructure API actions.” Read the SDxCentral story.
AI Open Letters Shift From Warnings to Push for Business Action
The "We Must Act Now" letter, published July 13 and signed by more than 200 economists and AI technologists, focuses on AI's potential for "unprecedented" economic transformation and "large-scale job displacement." That emphasis is different from many previous statements that focused on AI's ethical considerations or the safety risks of increasingly intelligent systems. Read the TechTarget story.
Build Vs. Buy: The AI Agent Landscape for Businesses
With generative AI, and now agentic AI, enterprises and small and mid-sized businesses have long faced an important question that correlates with how they move forward with technology and also how cost-effective they aim to be: building in-house or buying from a vendor. Four years ago, when OpenAI first introduced ChatGPT and companies began experimenting with generative AI, the answer appeared easy. For those who did not want to be left behind, buying large language models from OpenAI or Anthropic or trying to use open-source models from Meta looked like a safe bet. Read the AI Business story.
Potential Severe Consequences When AI Agents Lack Context
After experimenting with agentic AI, many enterprises are attempting to move projects past the pilot stage and into production to finally realize the productivity gains and cost savings of deploying agentic AI networks. However, to reap the potential rewards of agentic AI and avoid serious consequences, organizations need to make sure they're developing agents that can be trusted to perform in production. Read the TechTarget story.