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Cutting through the noise for Canadian VARs and MSPs

  1. What Nutanix’s latest Enterprise Cloud Index tells MSPs about shadow AI, sovereignty, and the infrastructure shift ahead

    17H AGO

    What Nutanix’s latest Enterprise Cloud Index tells MSPs about shadow AI, sovereignty, and the infrastructure shift ahead

    Lee Caswell, senior vice president of product and solutions marketing at Nutanix Nutanix has published the 8th annual Enterprise Cloud Index, its flagship survey tracking how organizations are building and managing infrastructure. This year’s findings hit three themes that matter for the channel: the rapid spread of unmanaged AI tools, the growing weight of data sovereignty, and the accelerating shift toward containers. Lee Caswell, Nutanix’s senior vice president of product and solutions marketing, joins us to dig into the data. Lee spent years at VMware before joining Nutanix, giving him an unusual perspective on how the infrastructure market is reshaping itself – particularly as organizations navigate Broadcom’s changes to VMware alongside the push to build AI-ready environments. The numbers are striking: 79 per cent of respondents encounter AI tools deployed outside IT’s oversight, 80 per cent consider data sovereignty a top infrastructure priority, and 87 per cent expect containerization to increase. But Lee’s read goes beyond the headlines. On shadow AI, he argues most of this is rational behaviour by teams testing in the cloud before committing on-prem – the real challenge is providing a structured path, not clamping down. On sovereignty, he draws a memorable distinction between a “noisy neighbor” and a “nosy neighbor” in multi-tenant environments – a framing that matters for how MSPs position managed services around compliance. Lee, who recently wrote about what he calls the “sovereign edge”, goes deep on what sovereignty means in practice when AI workloads need to stay local. The conversation also explores the MSP opportunity. While 65 per cent of respondents say their AI runs via managed service providers, Lee candidly notes that figure includes SaaS-delivered AI. The bigger play, he argues, is MSPs becoming the “governed alternative” to shadow AI – a sanctioned service layer offering sovereignty compliance, optimal application placement, and predictable costs. His closing advice: be “AI smart,” not just “AI fast.” Read Full Transcript Robert Dutt: Hello and welcome to In The Channel from ChannelBuzz.ca, bringing news and information to Canadian IT solution providers for 16 years now. I’m Robert Dutt, editor of ChannelBuzz.ca, and as always your host for the show. If you’re an MSP, there’s a good chance your customers are already using AI tools that your team doesn’t know about. Nutanix recently released the 8th annual Enterprise Cloud Index, their big annual survey of how organizations are building and managing infrastructure. And this year, the data paints a picture that would be uncomfortable for anyone who thinks they’ve got a handle on where AI is running in their environment. Nearly 80% of respondents say they’ve encountered AI tools or agents deployed outside IT’s control. Data sovereignty has become a top priority, and containers are quietly becoming the default for new applications. My guest today is Lee Caswell, Nutanix’s senior vice president of product and solutions marketing. Lee came to Nutanix from VMware, so he’s been watching the infrastructure market reshape itself from a vantage point that very few people have. We dig into what the survey data actually says, where the contradictions are, and what it means for MSPs and solution providers. Here’s our conversation. Robert Dutt: Lee, thanks for taking the time. Lee Caswell: Well, Robert, thank you. Robert Dutt: You come to Nutanix from VMware, and your CEO now, Rajiv Ramaswami, he was the COO over there. Now you’re running this survey while the virtualization market is being reshaped by Broadcom’s changes. How does sitting where you sit now, having been kind of on both sides of that fence, shape how you look at this year’s data? Lee Caswell: Well, I think it’s fascinating that for years, maybe 20 years, people just assumed that the underlying virtualization layer was fixed. That vSphere was well established, super product, exciting. A lot of people built their careers, frankly, on learning the ins and outs of vSphere. And to a lesser extent, some of the later add-on products. But the idea that the underlying virtualization layer has changed has, for the first time in years, had people reconsidering how they will build out their IT infrastructure for the next 10 years. Robert Dutt: And we’ll circle back to that theme and that infrastructure theme a little later. But I wanted to dive in off the top into shadow AI, because it’s something that we’ve been talking about a fair bit on the podcast, and it’s something that a lot of partners are thinking about and trying to get their heads around how to deal with it. According to the survey, 79% of your respondents say they’re encountering AI tools or agents that are deployed outside the purview of IT. That’s a striking number. I’m curious, though, about the quality of the problem. Is this mostly folks who are using ChatGPT carelessly or without permission, or are we talking about the worst-case scenario of actual AI agents making business decisions willy-nilly without oversight? Lee Caswell: Well, we’ve certainly seen some of those later examples, but I think the majority of this is rational decision-making on IT and developer teams. Thinking about the fact that AI infrastructure itself can be relatively expensive. GPUs, new servers, new hardware. You’re generally bringing new hardware into the mix to start with. And what customers have been doing is before they go and make their investment strategy, and particularly in on-prem environments, they’ve been trying things out in the cloud where you can rent infrastructure, you can basically start something up, spin it down. That’s kind of a classic test-dev model, by the way, not different from what we’ve experienced in the past. And yet, when you look at how you’re going to deploy AI long-term with considerations around sovereignty and privacy, and particularly around predictable and lower costs, you start thinking about how you can take your on-prem infrastructure skills, which could include a data center but might also include the edge, and start thinking about how do you bring your already-strapped IT teams into this? And from a channel perspective, it’s how do you leverage some of the skills where people have been trained, particularly on virtualization. We’ll come back to this in just a minute. And basically apply this now into the new world of AI LLMs, AI hardware, and containerized infrastructure running on VMs. Robert Dutt: So if I’m an MSP supporting that kind of mid-market client, the 200 to 1,000 seat kind of space, what does a practical response to shadow AI look like at this moment in time? Because, you know, “implement an AI governance framework,” that’s great in concept, but that’s the kind of consulting engagement that’s a little hard for a lot of MSPs to deliver. Lee Caswell: Well, first off, you want to start thinking about what are the risks you’re trying to address. One is you want to look carefully at what LLMs your user base is actually using. One of the things that we’ve been able to do, for example, is have an audit trail, so you can look at who’s using DeepSeek, for example. Who’s using OpenAI? Who’s using some of the Llama 2, Llama 3 models, for example, or NVIDIA models? So the ability to go and look into the user base and get an assessment of that. Secondly, you’re looking at how do you make sure you don’t have a runaway cost model? This was one of the risks in the early cloud days, you remember. You had users getting shocked with the amount of unplanned, unmanaged cloud costs. And so you’ve got this opportunity now to look at how do you manage a brand new metric of consumption, by the way, called a token. I defy you to find somebody who knows exactly how tokens are created and the like. That’s a very difficult challenge. If you can provide a predictable way to manage, monitor, and control the usage of tokens, we do that as a way to basically protect against runaway costs. And then finally, the idea of sovereignty. So where is your data? Specifically, as you look at geopolitical considerations, we have, I think, a stunning finding that showed that 57% of our respondents said that they wanted their AI workloads to be within a sovereign country. Now, that doesn’t mean a single location necessarily, but it does show the concerns around where’s my data? Who can subpoena my data? Who’s got access to my data? And it may be, Robert, that the data model is more sensitive than the data itself, because the data model shows how you’re interpreting the data. And that’s actually a really interesting finding, I think, for a lot of folks, as AI takes hold so quickly. Robert Dutt: And data sovereignty is an area that we want to drill down on. It’s an area that’s of key interest to our audience, obviously. You touch on the 57% number in terms of how customers want infrastructure in a single country. 80% say it’s a high priority. You wrote recently about what you called the “sovereign edge,” the idea that AI is forcing compute closer to data within sovereign boundaries. For a Canadian audience that’s been navigating this between different regulation at different levels, the US hyperscalers and the CLOUD Act, for years, what’s new here? Is this kind of validation that what they’re seeing is real, or is the ground really shifting here? Lee Caswell: I think the sensitivity is a continuation of the trends that we’ve seen in the past. What’s changed is the understanding that in an AI world, data will be more distributed than it is today. And so imagine if you’re a hydro company, let’s say. And you’ve got different dams and facilities and hydro control points. These are distributed. They need to be able to run in a disconnected manner. You want to have AI

    26 min
  2. ESET’s Tony Anscombe on the cybersecurity trends MSPs can’t ignore in 2026

    1D AGO

    ESET’s Tony Anscombe on the cybersecurity trends MSPs can’t ignore in 2026

    Tony Anscombe, chief security evangelist at ESET Tony Anscombe, chief security evangelist at ESET, returns to the podcast for a wide-ranging conversation about the cybersecurity landscape in early 2026. From the emergence of AI-powered malware to familiar weak points that keep showing up in breach after breach, Tony shares practical insights for MSPs advising their customers on security strategy this year. The conversation opens with a look at major incidents from the past year, including the Jaguar Land Rover cyberattackthat disrupted thousands of supply chain businesses and led to a £1.5 billion UK government loan guarantee, the Ingram Micro ransomware incident, and breaches affecting Salesforce and Oracle. Tony shares a striking insight from a cyber insurer: open VPN servers without MFA have overtaken RDP as the leading driver of claims. The discussion moves to shadow AI risks, with real-world examples of what goes wrong when companies deploy AI tools without security guardrails, and why MSPs have an opportunity to embed themselves as trusted advisors by being the security voice in the room. Tony also walks through the emergence of AI-powered malware, including ESET’s research on PromptLock, the first documented AI-powered ransomware – originally a proof of concept from NYU researchers that ended up in the wild – and PromptSpy, the first Android malware to use generative AI at runtime. The conversation closes with Tony’s advice for MSPs to stop talking about “cyber risk” and start talking about “business risk” – framing security in terms of downtime, continuity, and financial impact rather than technical threat statistics. Read Full Transcript Robert Dutt: Hello and welcome to the ChannelBuzz.ca podcast, bringing news and information to the Canadian IT channel for the last 16 years. I’m Robert Dutt, still editor at ChannelBuzz.ca, and your host for the show. Cybersecurity is one of those areas where the threats never stand still, and lately the pace of change seems to be even faster. As we head further into 2026, factors like artificial intelligence, global geopolitical tensions, and increasingly organised cybercrime are reshaping what risk looks like for businesses of all sizes. Today we’re stepping back from the day-to-day headlines to talk about what’s coming next, what really matters beneath the noise, and what IT service providers and resellers should be paying attention to as they advise their customers. My guest is Tony Anscombe, chief security evangelist at ESET, and a frequent flyer on the podcast. Tony spends his time analysing emerging threats, talking with security teams around the world, and translating complex security trends into practical guidance. This conversation is focused on thought leadership and the big picture trends shaping cybersecurity this year, from AI-driven attacks and mobile threats to ransomware and the impact of global events on the digital world Canadians rely on every day. It’s a great conversation, so let’s get right into it. My chat with ESET’s Tony Anscombe. Tony, thanks once again for taking the time. Tony Anscombe: Oh, it’s always a pleasure to chat with you, Rob. Robert Dutt: I just wanted to take this opportunity to kind of take a look at where we’re at in cybersecurity in the early part of 2026 and get your thoughts on what to expect this year, sort of help our listeners, the VARs and MSPs of the world, get an overall feeling for where things are at, where they’re going. I guess to throw things open, when you look ahead at this year, what feels genuinely different about the threat landscape compared to, say, a year ago? I was going to say a year or two, but I think even a year in this rapidly changing place is plenty. Tony Anscombe: Well, I think you’ve seen some pretty big incidents last year. None of them, I would say, are a catastrophic incident, whereas the year before we saw the likes of Change Healthcare and there was the CrowdStrike update and things that affect hundreds of millions of people all at the same time. But you had Jaguar Land Rover with a significant issue. You saw the Salesforce ransomware, the Oracle zero day that was exploited in their systems. Ingram Micro ransomware incident took down a lot of the distribution channel. So I think there were incidents that are interesting. I think to an element, I’d kind of say that you’re going to see more of the same, but the same is becoming more sophisticated and is starting to change. Now, if you go back four or five years, we’d have told you that cybercriminals at some stage will start using AI technologies in there as we go. Then I meet people frequently that turn and say, “I’m being attacked by AI.” The answer to that is, no, you’re not. Stop watching Terminator at weekends. That’s my recommendation. You’re getting paranoid. I say that, but the use of AI within cybercrime is making it more sophisticated. It’s making it more challenging to detect in certain instances and it’s becoming more challenging from a social engineering perspective. The sophistication and the likelihood of you clicking on something is unfortunately increasing. I think if you look at cyber insurance reports that talk about claims and stuff like that, still 40% of people are paying. A lot of the things are business as usual. In fact, I spoke to a cyber insurer a couple of weeks ago, Rob, who gave me a snippet of information that I thought was fascinating. We talked about RDP a couple of years ago, you and I, about the issue of… and he said the majority of their claims are open VPN servers, where people have got a login page, ID and password to log into the VPN and they haven’t put MFA on it. VPNs have now taken the place of where RDP was, so that one seems to be moving down the chain a bit. I took a look, I went on Shodan. I took a look on Shodan and sure enough, you can find lots of open VPN servers. Robert Dutt: Just goes to show how some tools which are at least adjacent to security can be flaws as well. There’s no shortage of that. You already touched on a couple of them. You mentioned AI and obviously that’s the big subject of the industry and of business in general in 2025 and 2026. It seems like we’re at a place where right now, in many cases, it’s coming out in front of security, in front of management and in front of IT control, the whole shadow AI thing. I guess, what are your thoughts on where organizations are most exposed because of that gap that exists? Tony Anscombe: Well, that’s a good point. The boardroom or the management teams in companies are going, “We need AI, we need AI,” because that’s what they’re hearing. Sure, it’s a great tool. If you look at a company like us at ESET, we’ve used AI in our products for two and a half decades or so. It’s not that new to us. But if you look at the latest iterations where a customer can get natural language help and stuff like that, you can sort through our threat intelligence easier. Those type of tools are where companies are at, isn’t it? It’s the customer interaction or it’s the knowledge base searching or it’s being able to get reasonable information quickly and meaningfully and in a nice way. The problem is, a company takes all its data, throws it into an AI model and says, “Hey, AI, can you start helping my customers?” There’s likely to be personal information in there. They’re likely to leave APIs open and such like that then get abused. Before you do this, you need to have a cybersecurity person in the room. Now, that doesn’t mean you don’t do it. What that means is you do it in the right way. The cybersecurity person might turn and sit there and be the doomsday person and say, “Oh, no, we don’t want to do this.” But it’s then about explaining to the people that want it in the business about the risk and understanding where the level of risk lies and whether you’re comfortable and accepting of that risk. We’ve seen some great examples of it, haven’t we? What was it, somebody bought a car from one of the car companies for a dollar or something, they managed to trick the AI chatbot into it. That’s the type of thing you want to be protecting against, making sure that you’ve got those guardrails in place. Also making sure it’s not going to surface some customer’s phone number or customer data inadvertently. Some customer in a previous call may have turned around and said, “Here’s my email address,” or “Here’s my phone number.” Of course, if that’s in your knowledge base somewhere or stacked in your support tickets, the right teasing of that information might bring it out and suddenly, in effect, you’ve got a customer data breach, which your AI told somebody. I’m just saying you don’t want that. You need to do it with security in mind. Make sure the agents are tied down correctly. Now I saw there was an incident last year. I can’t remember which vendor it was with, Rob, but they had an API. It was an AI tool. They had an API for their customers to use. I think it was about 30 different customers were using it, or using the same ID and password. The password, by the way, I think was “default.” Robert Dutt: Perfect. Tony Anscombe: Right? So there you go. That’s just somebody doing it without too much thought. Put a cybersecurity person in the room, every customer would have had their own ID. There would have been stronger authentication, maybe certificate-based, and you wouldn’t have had that issue. It’s about having the cybersecurity people in the room with the business at the time you discuss it. Robert Dutt: That’s an interesting place for MSPs because especially in the smaller end of enterprise and into SMB, when those discussions are taking place, often that MSP is going to be serving as the security person for an organization. It speaks to, I think, the need for you, ev

    25 min
  3. Inside Check Point’s three-acquisition bet on AI security and the MSP market

    2D AGO

    Inside Check Point’s three-acquisition bet on AI security and the MSP market

    Roi Karo, chief strategy officer at Check Point Check Point Software has been on an acquisition tear. Under new CEO Nadav Zafrir, the company has picked up five startups since early 2025, with three announced simultaneously in February: Cyclops, Cyata, and Rotate. But these aren’t opportunistic bolt-ons. They map directly to a four-pillar strategy that Check Point says defines the future of its security platform: Hybrid Mesh Network Security, Workspace Security, Exposure Management, and AI Security. In this episode, we sit down with Roi Karo, Check Point’s Chief Strategy Officer, and Angelo Valentini, head of channel sales for Canada, to dig into the thinking behind the acquisitions and what they mean for the channel. Roi brings an unusual perspective to the table, shaped by 25 years in Israeli defense intelligence and a stint as Chief Risk and Strategy Officer at blockchain infrastructure company Fireblocks before joining Check Point. Angelo Valentini, head of channel sales for Canada at Check Point The conversation covers how each acquisition fits into the broader strategy: Rotate brings MSP-native expertise to the Workspace Security pillar, where Check Point is consolidating endpoint, email, browser, and mobile security under a single management layer. Cyclops completes a full Continuous Threat Exposure Management cycle by adding internal asset scanning alongside CyberInt’s external scanning and Veriti’s automated remediation. And Cyata addresses the emerging challenge of governing autonomous AI agents operating on user endpoints, a category that barely existed a year ago but is evolving fast. We also explore what Check Point means by an “open garden” platform, including how its tools integrate with and remediate across competitors’ products, and how that philosophy plays out in practice for MSPs managing multi-vendor security stacks. Angelo adds a Canadian lens, touching on the opportunity in Canada’s SMB-dominant market and the compliance implications of Bill C-26. Check Point’s MSSP Partner Program offers consumption-based pricing and multi-tenant management for solution providers looking to explore the opportunity. Roi closes with a pointed message for partners: the assumption that there’s still time to learn and prepare is “terribly wrong.” The threat landscape is accelerating, and the window to adapt is narrower than most people think. Read Full Transcript Robert Dutt: Hello and welcome to In The Channel from ChannelBuzz.ca, bringing news and information to the Canadian IT channel for the last 16 years. I’m Robert Dutt, editor of ChannelBuzz.ca, and as always your host for the show. Check Point Software has been making some big moves. Under new CEO Nadav Zafrir, the company has acquired five companies since early 2025, including three announced simultaneously in February: Cyclops, Cyata, and Rotate. And these aren’t random bolt-ons. They map to a deliberate four-pillar strategy that Check Point says defines the future of the platform. Those four pillars are: Hybrid Mesh Network Security, covering data centers, cloud, SASE, and SD-WAN. Workspace Security, protecting endpoints, email, browsers, and SaaS applications. Exposure Management, giving organizations visibility into their full attack surface. And AI Security, governing the new wave of autonomous AI agents operating inside enterprise environments. For solution providers, the most interesting piece here might be the Rotate acquisition. It’s an acqui-hire that brings in a team with deep roots in the MSP ecosystem, including veterans of Datto and Kaseya. Cyclops adds a data lake with over 150 integrations for attack surface management. And Cyata tackles a category that barely existed a year ago: identity management for AI agents. To unpack the strategy and what it means for the channel, I sat down with Roi Karo, Check Point’s chief strategy officer, and Angelo Valentini, who leads Check Point’s Canadian partner business. Roi brings an unusual perspective – 25 years in Israeli defense intelligence and a stint as chief risk and strategy officer at blockchain infrastructure company Fireblocks before joining Check Point. Here’s our conversation. Gentlemen, thank you for taking the time. I appreciate it. Roi Karo: Thank you very much. Angelo Valentini: Thanks for having us. Robert Dutt: Roi, before we dive into strategy itself, you come to Check Point from Fireblocks, and before that, 25 years in the IDF and on that side of the world. Pretty unique lens. I’m just curious, how does that shape how you think about security strategy versus someone who’s grown up and spent that kind of time inside the cybersecurity vendor world? Roi Karo: Yeah, that’s interesting. I think it gives a unique perspective, being part of the Israeli intelligence security, and it gives, I think, a wide view of how things are shaping. And it’s part of what we’re trying to answer today. The biggest hurdle I’m trying to uncover is what is going on. What’s going on in the world, what is going on in the market, and of course, how should we react as a security company. And I think my background gives an interesting perspective for that. And stating what is obvious, in Israel, many people in the cybersecurity industry are veterans of the Israeli defense forces. So it’s an interesting background and a very useful background to be part of the security ecosystem in Israel. Robert Dutt: You guys announced three acquisitions simultaneously, and that’s following last year, which saw Lakera and Veriti. That’s an aggressive pace. I guess, what do you see as the strategic urgency driving the acquisitions? Is it about AI creating new categories of risk, or is it about the competitive landscape forcing your hand? Is it a little bit of both? What’s driving this? Roi Karo: Yeah, I think both and maybe some more. Stating the obvious, things are changing faster than before. Everybody’s talking about how AI is changing the world. Something that everybody says in their first sentence: everything is faster. Things that before took years now take weeks and even days. So we can’t just wait. We need to move fast, faster than we moved before. So acquisition is a great way to move faster. When we find a very strong team that has a very good product that can help our portfolio and give us good products that we can suggest or offer to our customers, this is something that we’re very interested in. And I think, as you mentioned, the competitive landscape – competitors are also moving faster. So we need to keep pace. And the last thing I would add, Check Point as a large company offers a wide variety of solutions. We’re very known for our firewalls and network security, but if we’ll have more time, we can talk about the other pillars. And actually all three new acquisitions are supporting and accelerating our other product pillars. So offering a consolidated solution to our customers is one of our biggest strategic moves, and all of those acquisitions are helping us to get faster through this target. Robert Dutt: You kind of presage where I was going next, which is, in your blog post, you frame four pillars of where Check Point is going, what you want to be locking down. And as you rightly point out, Check Point has that history, that strength in network security. The newer bets, especially both exposure management and AI security, which is obviously nascent – it seems like they require different muscles, different skill sets, different approaches from Check Point and from partners alike. Where are the real capability gaps that needed filling? Roi Karo: Yeah, so I think when talking about gaps, there are different types of gaps. One type of gap is mostly on the AI front. Everything is new. So to be very honest, I think that the security industry is still learning how to secure AI. So we have gaps. Everybody has gaps because it’s so new. We’re inventing new things. We’re building new kinds of security solutions. And that’s one type of a gap. A different type of a gap is that we have products for many years and we want to have better solutions, acquiring features or products that can help us accelerate closing those types of gaps. But I think the first type is more interesting because those are purpose-built solutions that did not exist before. This is where the true innovation is happening. And without that, nobody will be able to secure the new types of attacks that we’re seeing in the wild. Angelo Valentini: Robert, if I could just add – on the partner side, I think some of the gaps and concerns are really about visibility, governance, and also about operational efficiency. I think that’s one of the things that we’re trying to help partners with in terms of what their concerns are relative to AI, relative to exposure management, all these areas. Robert Dutt: You describe this whole scenario as an open garden platform, which is a nice framing versus the walled garden approach. For MSPs who are running multi-vendor security stacks and representing multiple security vendors, which, let’s be honest, is the vast majority – what does that open garden mean in practice for them? Roi Karo: Yeah, so I think a couple of things. Our philosophy is openness. We’re not trying to create any kind of vendor lock. We play with all vendors. You mentioned the acquisition from last year of Veriti. That’s a great example because what Veriti offers is the ability to patch or virtually patch all of your security vendors. If you have a threat that you discovered, now you want to make sure that you’re actually being defended against it. So what Veriti does is go over all of those exposures and close them. And when they say close them, they close it using a Check Point security product, but also all other vendors. So we have integration even with our competitors, other types of vendors. So that’s one example o

    29 min
  4. ICYMI: Ingram Micro bets big on agentic AI, memory pricing pain deepens, and the channel gets mental health community

    3D AGO

    ICYMI: Ingram Micro bets big on agentic AI, memory pricing pain deepens, and the channel gets mental health community

    Today is Monday, March 9, 2026. Welcome to In Case You Missed It, our weekly five-minute rundown of important channel news stories that might have flown under the radar last week. In this edition: Ingram Micro Q4 and full year 2025 results: Ingram Micro reported fourth quarter net sales of $14.9 billion (up 11.5%) and full year net sales of $52.6 billion (up 9.5%), with its Xvantage platform now driving “billions” in transacted revenue. The company debuted the “AgenTeq” brand for its agentic AI capabilities, including a Sales Brief Agent initially piloted in Canada. Memory pricing crisis update: Dell is “compressing discounting” and shortening quote windows. HP says memory costs doubled in one quarter to 35% of PC production costs. Intel’s CEO says there’s no relief until 2028. The message to partners: quote fast, communicate pricing risk early, and plan for volatility. MSP Well launches as the channel’s first mental health community: Co-founded by Joe Ussia (Infinite IT Solutions), James Mignacca (Cavelo), and Miguel Ribeiro (VBS IT Services), MSP Well is a free peer-support network for IT and MSP professionals dealing with burnout, stress, and the mental health impact of cybersecurity work. Launched at XChange March 2026 in Orlando. ServiceNow claims AI bot resolves 90% of its own help desk tickets: The “Autonomous Workforce” agent handles Level 1 IT issues end-to-end, including password resets, VPN issues, and software access, with 99%+ resolution rates in targeted categories. GA expected in the second half of this year. Read Full Transcript Hello and welcome to In Case You Missed It from ChannelBuzz.ca. Your Monday morning recap where we catch you up on some of the channel news and trend headlines you may have missed in the last week. I’m Robert Dutt, editor of ChannelBuzz.ca. Today is Monday, March 9, 2026. Let’s get your week started right. Ingram Micro closed out fiscal 2025 with some pretty strong numbers. The distributor reported fourth quarter net sales of just under $14.9 billion, up 11.5% year over year and above the high end of its guidance range. For the full year, net sales came in at $52.6 billion, up nearly 10%. The company attributed the growth to strong demand across its core distribution business, an uptick in cloud marketplace revenue, and continued traction from its Xvantage digital platform, which management now says drives “billions of dollars” in transacted revenue. But the detail that caught my attention is a word, not a figure. During the earnings call, Ingram introduced the name AgenTeq – T-E-Q, by the way – as its branding for its agentic AI capabilities within the Xvantage platform. AgenTeq encompasses over 400 AI and ML models that Ingram’s been building, including a tool called the Sales Brief Agent, which gives Ingram sales teams real-time AI-generated intelligence on partner and customer accounts to help uncover growth opportunities. And in a detail worth noting for this audience, the Sales Brief Agent was initially piloted here in Canada before its planned global rollout in the first half of this year. We’re still learning what AgenTeq means in practical terms for channel partners and it’s early days for the branding, but the combination of its financial results and the platform investment suggests Ingram is placing a very deliberate bet on AI-driven distribution. A story we’ll be following up very soon here on In The Channel. If you listened last week, you heard us lead with the component shortage story. Cisco rewriting partner contract terms, Lenovo warning of March price hikes, Western Digital’s entire 2026 production already spoken for. The situation has not gotten better. In fact, it’s getting worse and faster than most of us expected. Dell COO Jeff Clarke told analysts last week the company’s compressing discounting and that quotes are now valid for “the shortest period of time they’ve ever been.” HP’s CFO disclosed that memory costs have doubled in a single quarter and now represent about 35% of PC production costs, up from 15 to 18% a few months ago. And Intel CEO Lip-Bu Tan says there’s no relief coming until 2028, a timeline backed by both SK Hynix and Micron. The takeaway for partners hasn’t changed from last week, but it’s more urgent now. Shorten your quote windows, have the pricing conversation with customers early, and assume that anything you quote today can and will cost more by the time it ships. Grab your helmet. Switching gears to something that doesn’t come up nearly enough. A new community initiative called MSP Well was formally launched this week at The Channel Company’s XChange conference in Orlando. MSP Well is a peer-support community dedicated to mental health and resilience among IT, MSP, and MSSP professionals. It was co-founded by Joe Ussia, CEO of Infinite IT Solutions, James Mignacca, CEO of Canadian vendor Cavelo, and Miguel Ribeiro of VBS IT Services. As Ussia put it, “the channel talks constantly about tools, threats, and uptime, but rarely about the human cost to the people doing the work.” MSP Well aims to change that, offering peer support, a Discord community, an anonymous call line, and partnerships with certified counsellors. It’s a meaningful initiative, and it’s something we’re looking forward to following up on here on In The Channel. And finally, ServiceNow says it has built an AI agent that’s now resolving 90% of inbound IT tickets on its own internal employee help desk. The system handles high-volume Level 1 issues like password resets, software access, VPN connectivity, and hardware troubleshooting, with resolution rates above 99% in those categories. When it gets stuck, it escalates rather than guessing. It’s an internal deployment for now, with general availability scheduled for the second half of the year. ServiceNow’s annual Knowledge conference takes place in May, and I’d expect we’ll hear a lot more about it there. Those are some of the things we were paying attention to last week. This week on In The Channel, we take a look at Check Point’s recent acquisition spree and how it all comes together with their chief strategy officer, Roi Karo. Sit down with frequent guest Tony Anscombe from ESET to talk about the current threat landscape. And break down the most meaningful findings of the Nutanix Enterprise Cloud Index report. I’m Robert Dutt for ChannelBuzz.ca. Have a great week!

    5 min

  5. MAR 5

    Lexful bets AI-native documentation can solve the MSP knowledge crisis

    Pinar Ormeci, CEO of Lexful For MSPs, documentation is essential. But it’s also one of the hardest parts of running a service business. Inaccurate, outdated, or inaccessible documentation slows teams down, increases onboarding time for new technicians, and can even put service quality at risk. That’s the problem Lexful is aiming to solve with a new approach. In this episode, we sit down with Pinar Ormeci, CEO of Lexful, to discuss the company’s new AI-native platform built specifically for managed service providers. Pinar explains how Lexful uses artificial intelligence to capture and organize MSP best practices in real time, making documentation not just a compliance task, but a practical tool that drives efficiency and reduces errors. We also dive into some of the challenges MSPs face when adopting AI tools — like ensuring sensitive client data stays secure and meets regulatory or geographic requirements — and how Lexful addresses these concerns with flexible data residency options. Plus, Pinar shares her thoughts on global expansion, including the Canadian MSP market, and what makes Lexful different from traditional IT documentation tools. Whether you’re looking for ways to improve operational efficiency, reduce technician burnout, or future-proof your MSP business with AI, this conversation offers practical insights and a glimpse at where documentation technology is heading. Tune in to hear Pinar Ormeci explain how AI can transform the way MSPs capture, store, and use the knowledge that keeps their businesses running. Read Full Transcript Hello and welcome to the ChannelBuzz.ca podcast, bringing news and information to the Canadian IT channel for the last 16 years. I’m Robert Dutt, editor of ChannelBuzz.ca, and as always your host for the show. If you’re an MSP, you know that documentation is both critical and, let’s be honest, often a pain. From onboarding new technologies to keeping client procedures up to date, maintaining clean, accurate and accessible documentation can feel like a full-time job and even then it’s rarely perfect. That’s where Lexful comes in. Founded by Pinar Ormeci, Lexful is a new AI-native platform designed specifically for managed service providers. The goal is to make documentation smarter, faster and more useful, not just for the teams doing the work today, but for future technicians, clients and partners. Think of it as giving your organization a digital brain that learns your processes, organizes your best practices and helps your team actually use the documentation you spent so long building. In today’s conversation, Pinar walks us through what makes Lexful different from traditional IT documentation tools, how the platform’s AI assistant Ask Lex works, and how MSPs can balance the need for actionable insights with security and control over sensitive client data. We also talk about global expansion, including Canada, of course, and what it takes to bring AI-powered documentation to MSPs operating in regulated markets or multiple geographies. Whether you’re curious about AI in the MSP workflow, looking for ways to improve operational efficiency, or just interested in the next wave of tools that may be shaping the channel, this episode’s full of insights from someone who’s building a platform designed for exactly that. Grab your headphones and let’s jump into a conversation with Pinar Ormeci, CEO of Lexful. Robert Dutt: Thanks for taking the time. I appreciate you’re joining us to talk a little bit about what’s going on over at Lexful. Pinar Ormeci: Thank you so much for having me, Robert. Robert Dutt: You’re entering a market that MSPs already know well in terms of documentation tools. What was it that was broken enough about the status quo, the situation, that you felt like, “Oh, it’s time to start from scratch with something brand new.” Pinar Ormeci: Yeah, as you can imagine, everything changed with AI, with the advent of AI and the pace of doing things and how MSPs must react and are reacting to an AI-first world even today, and it’s even accelerating as we continue. So as such, we fundamentally believe that the things that worked yesterday will not work today and definitely not tomorrow, right, for the workforce that contains humans and AI agents. So we are the response to a long-standing pain point that the MSPs have when it comes to documenting what they have, finding answers and context when they need, and also having the ability to update that documentation as needed, right? So MSPs, when they’re operating, they’re going 100 miles an hour across clients, across tabs, across tools, and the last thing they need is wasting time trying to find the right answer, right network diagram, trying to see if that’s actually the latest and greatest. And usually that doesn’t happen. There’s a lot of tribal knowledge that lives in the MSPs because they honestly, at some point, stop trusting the data that they have and things start living in their minds. And that’s the reason why we exist. So yes, we are an IT documentation solution, but we are an AI-native platform that is starting with documentation and our goal is to really help MSPs move into knowledge operations, an AI operating layer, where the knowledge becomes autonomous, the outcomes become autonomous, and really the knowledge becomes a living thing. Robert Dutt: Well, let’s start with where you’re at in that regard. From your perspective and from what you were hearing as you were building up Lexful and planning it out, what’s the real cost of bad, outdated, unfindable documentation inside an MSP’s operation? Both in terms of operational stuff for the organization, but also in terms of ability to grow, margins of the business, the experience that technicians have, those kinds of things that are not peripheral, but not right at the center of operations. Pinar Ormeci: Excellent question. And what we say is that MSP documentation as it stands today is really broken. And ultimately, this is an economic problem. This is not a technical problem in the sense that it costs MSPs real margin. And how does that happen? So today, documents become stale as soon as they are written. Technicians waste hours collectively trying to find the right information, and manual updates really don’t scale. So what this ends up resulting in is missed signals, right? So you don’t act when you should be acting. You don’t find answers as fast as you could. Your technicians get burned out because literally after five, ten minutes of searching and not being able to find what they need, technicians go to other technicians. So everybody’s pinging each other, disrupting. So there’s also a lot of context switching. And this results in errors where you’re trying to solve different clients’ problems. And ultimately and fundamentally, this really results in eroding client trust and churn, right? So we see this documentation problem not as a technical problem, but fundamentally an economic problem that has real impact on the bottom line of the MSPs. And also their top line, because knowledge is also critical, Robert, for AI agents, for workflows. Your AI workflow or your agentic workforce is only as strong as the data that they rely on. So if you have a bunch of unstructured data lying around across different tools and you have no clue how stale or up to date they are, your agents won’t be as useful as they could be. So we are approaching the problem on both sides, both reducing your costs and increasing your margins, but also really preparing you for the agentic workflow and also AI-driven new revenue streams. Robert Dutt: You’ve positioned Lexful as an AI-native platform rather than a traditional documentation tool with AI built in, strapped on, however you want to phrase that. What does that mean in practice for an MSP that’s using Lexful on a day-to-day basis as opposed to using traditional documentation tools or methodologies? Pinar Ormeci: Sure. Legacy documentation tools were built in a different era, right? Before AI existed, they really depended on manual entry, keyword search, and they’re optimized for storage really, not to be an operational workhorse. Not for knowledge operations, where you’re able to put data to work for you 24/7. So our goal with Lexful is to move from this world of scattered docs and tribal knowledge to a unified AI-native platform that delivers the right solution to the right technician, anchored to the right context, to the right client, instantly. So this is how this looks in real life. Let’s say that you’re using a legacy documentation tool and you say, “Hey, I’m going to give Lexful a go. I want to try it.” By the way, you can have a completely free trial where you get to use the full functionality of Lexful in parallel to your existing tool. So there’s no risk. We call it migration without mayhem. So if you don’t like it, no feelings hurt. You can always continue with your existing platform. But this is how it looks. The first thing that we do is we migrate all your existing documentation. That means including your SOPs, onboarding guidelines, runbooks, what have you, your MSP-specific documentation, plus all your client assets and passwords and their documents into the Lexful schema. And while we are doing that, we transform that data into context, relationships, assets. So everything becomes structured so that AI can operate seamlessly and securely, very fast, within the guardrails that we put. So that’s fundamentally different than bolting AI into the scattered docs that are unstructured and expecting much from that AI agent. Before we even migrate the documents, Robert, what we’ve done is we completely context-engineered an LLM model to live in the MSP space. So you have this, let’s say, AI technician now that has access to all your data. And the things that you can do with this

    27 min

  6. MAR 4

    Shadow AI is an identity problem, and your employees already created it

    Jack Hirsch, vice president of product at Okta The rise of AI in the workplace is creating a new kind of risk for organizations: shadow AI. Employees can now spin up AI agents that connect directly to emails, files, and business systems—often without IT oversight. These agents can access sensitive data, and without proper controls, they become prime targets for cyberattacks. In this episode of the podcast, we’re joined by Jack Hirsch, vice president of product at Okta, to explore what shadow AI is, why it matters for Canadian organizations, and how IT partners can help their customers manage it. Jack discusses Okta’s latest tools, which provide real-time visibility into AI agents and their permissions. These capabilities make it easier for security teams to discover unmanaged agents, understand their access, and quickly bring them under identity-based controls. We also touch on regulatory implications, including Canada’s proposed Bill C-8, which heightens expectations around cyber risk accountability, access controls, and transparency. As legislation moves forward, organizations will need to prove they understand not just who has access to sensitive systems—but which AI agents do as well. For MSPs and IT resellers, this emerging landscape represents both a challenge and an opportunity. Jack shares insights into how partners can position themselves as trusted advisors for clients navigating AI risk, turning a potentially complex problem into a service opportunity. Tune in to hear why identity management is becoming central to securing the agentic enterprise—and what your customers will need to stay ahead of shadow AI risks. Read Full Transcript Hello and welcome to the ChannelBuzz.ca podcast, bringing news and information to the Canadian IT channel for the last 16 years. I’m Robert Dutt, editor of ChannelBuzz.ca, and as always, your host for the show. Okta has announced a new set of capabilities designed to help organizations uncover and manage a fast-growing risk: shadow AI. As AI tools become easier to use, employees are increasingly creating their own AI agents, connecting them to emails, files, SaaS apps, and internal systems to get work done faster. The problem is that many of these agents are created without security oversight, governance, or clear ownership. Once they’re connected to sensitive systems, they can quietly gain broad access to data, making them attractive targets for attackers and a potential liability for organizations. Okta’s new solution is designed to address that gap. It gives security teams real-time visibility into AI agents across the enterprise, showing which agents exist, what they can access, and what permissions they’ve been granted. Just as importantly, it allows organizations to quickly bring unmanaged or risky agents under identity controls, treating them more like digital employees than anonymous tools. That visibility matters even more in Canada, where proposed legislation like Bill C-8 is raising expectations around cyber risk accountability, access controls, and transparency. As AI becomes embedded into everyday workflows, organizations will be expected to know not just who has access to what sensitive data, but what machines and agents do as well. To unpack what shadow AI really means, why identity has become central to managing AI risk, and what all this creates in terms of opportunity for Canadian IT partners, I’m joined today by Jack Hirsch, Vice President of Product at Okta. Let’s dive in. Robert Dutt: Jack, thanks for taking the time. I appreciate it. Jack Hirsch: My pleasure. Thank you for having me. Robert Dutt: It feels like this is a topic that a lot of folks in the channel have been through with different flavors in the past. When you say “shadow X,” it certainly brings up memories of transitions past, but just to level set and set the parameters here, can you give me a quick definition on shadow AI? I almost said shadow IT. Can you give me a quick definition on shadow AI, and why it’s becoming both a security and governance issue? Jack Hirsch: Sure. Well, look, it’s no secret now that AI is changing the shape of how work gets done in the modern era. You have these non-deterministic entities running around, and fundamentally, they’re exciting, they’re interesting on their own, but where they really light up in value, where you start to see efficiency and effectiveness gains from your carbon-based workforces, is when you start connecting them to tools. They need resource access to be truly productive. So AI agents need resource access, and that’s when it can start to get scary, and that’s when shadow AI starts to create a ton of risk for modern organizations. We know that the point of authentication is now much stronger with phishing-resistant auth. However, post-auth security is the primary breach vector for the vast majority of cybersecurity incidents now, meaning the session token’s been cut. There’s access out in the ecosystem, and that’s why shadow AI is terrifying. Unfortunately, the options available to the ecosystem to secure AI and to build it quickly have been not good enough, to put it bluntly. This leaves security leaders with this very, very difficult challenge of moving fast and potentially breaking things and giving away the keys to the kingdom to OpenClaw, or whatever it is that you want to do, or potentially stifling innovation. That’s a really, really difficult spot for security leaders to be in. So yeah, shadow AI is everywhere. The challenges are greater. The stakes have never been higher. Robert Dutt: Yeah, so that’s sort of the problem space. So when employees spin up AI agents and connect them to emails, to files, to internal data, to systems, whatever it may be, I presume most of the problems emerge from unintended consequences, as is so often the case in technology. But what are some of the common ways that sensitive data ends up exposed without anyone really necessarily realizing it, or is that the nature of the problem? Jack Hirsch: Well, look, I think there’s sort of the naive answer, and not to say that it’s easy or trivial. I don’t want to trivialize this, but the naive answer is, “Oh, prompt injection, data leakage, data poisoning. Oh yeah, who knows what the LLM will spit out?” But the actual scarier risk is around inadvertent access and the standing credentials that need to be given to AI agents for them to be productive. If Rob, you and I work at Acme Corp, and we’re working on a project together and we want to spin up an AI agent, whose permissions do we give it? Most of the time now, a security leader is not going to be able to jump in front of every single moving train and slow them. They’ll just say, “Oh yeah, give it a set of static credentials. Give it an API key, but don’t give it Rob’s access. Don’t give it Jack’s access. Give it super user access, and we’ll trust it to do the right thing.” And so you’re giving this untrained, very influenceable, non-deterministic entity the keys to the kingdom. And that’s really the primary risk vector here. And so it’s all an identity and access management problem. Fundamentally, these are identities that need to be discovered. They need to be controlled. They need to be governed. And their access needs to be managed in the same way that their carbon-based peers, us as humans, need to be governed as well. Robert Dutt: So with that framing, it sounds like maybe identity is more important than traditional network or endpoint controls in terms of security in this world, where there are all these agents running around and doing whatever it is, hopefully, we want them to do and potentially what we don’t want them to do. Jack Hirsch: I think this is where the traditional model of endpoint or network or identity-based detection and response falls flat. You can’t keep up with the incredible volume of AI agent activity out in the ecosystem to detect it all. Every single, even approved platforms are now starting to put AI sprinkles throughout their products. And so it’s sort of fighting an uphill battle there. And so the reason this is truly an identity-centric problem is because, again, all those agents need access to resources inside of organizations. And the way that AI grew, and we saw this with how OpenAI and Anthropic and even Google with Gemini, their sort of growth paths were primarily consumer driven. And in a consumer world, it’s really easy. I’m spinning up, I’m literally sitting next to a machine that has a Claude bot spun up in a fully isolated environment, but I’m an individual user in that scenario. And so if I want to give it access, I can just OAuth myself. It’s super easy. And so the authorization mechanism wasn’t really thought about in an enterprise context. And then when you get into an enterprise context, you have individuals that want to do exactly the same thing and access corporate resources. So it really is a new type of identity. We can talk about some of the differences between human and AI agent, but it’s fundamentally an identity and access management problem. These are digital identities, non-human identities that need access to resources within an organization. And you actually see this being recognized by broader standards bodies. So for example, Cross App Access was something that we’ve been working on. It’s a new standard, it’s an extension of the OAuth protocol. And it’s something that we’ve been working on for years, two, three years now at this point. And we reintroduced it to the ecosystem this past summer, summer of 2025. And we introduced it first to ISVs and the people that were sort of around the Okta ecosystem had heard about it before. But then the rest of the ecosystem, the adoption was wild because MCP had become a thing and people were trying to deploy MCP servers and AI agents into their enterprises. An

    28 min

  7. MAR 3

    Your Citrix relationship just changed: Inside the Arrow Electronics transition

    Mark Sweeney, senior vice president of mid‑market growth and global commercial strategy at Citrix As of this week, MSPs and resellers working with Citrix may notice their partner relationship looks a little different. On March 1, Citrix officially expanded its long-standing partnership with Arrow Electronics, shifting more of the day-to-day management of its Service Provider partners in North America and Europe to the distributor. The move builds on an existing relationship between the two companies, but goes further — touching partner engagement, transactions, and how partners interact with the Citrix ecosystem overall. For MSPs and resellers, especially in Canada, changes like this tend to raise practical questions. What’s actually changing in the partner experience? Why make this move now? What responsibilities remain with Citrix, and which ones move to Arrow? And what does this mean for quoting, renewals, incentives, and support escalation? In this episode of the podcast, we’re joined by Mark Sweeney to help unpack the announcement. We talk through what Citrix had already handed over to Arrow, what’s new as of March 1, and how the company sees this shift fitting into its broader channel strategy. The conversation also takes a Canada-specific lens, exploring what this transition means for Canadian MSPs and resellers, and what partners should be thinking about as the new model settles in. We wrap with a look ahead at what comes next — and how partners can position themselves to get the most value from the change. Read Full Transcript Hello and welcome to the ChannelBuzz.ca podcast, bringing news and information to the Canadian IT channel for the last 16 years. I’m Robert Dutt, editor of ChannelBuzz.ca, and as always, your host for the show. If you’re an MSP or a reseller working with Citrix, as of this week, your relationship with the vendor may look a little different. Earlier this year, Citrix announced it’s expanding its partnership with distributor Arrow Electronics, handing over more of the day-to-day management of its service provider partners in North America and Europe. That change officially took place March 1st. Citrix and Arrow have already been working together for some time, but this move goes further, affecting things like partner engagement, transactions, incentives, and how partners interact with the Citrix ecosystem overall. For MSPs and resellers here in Canada, it naturally raises questions. What’s actually changing? Why now? What stays with Citrix? What shifts to Arrow? And most importantly, what does it all mean to your day-to-day business? To help unpack all of that, I’m joined by Mark Sweeney from Citrix. Mark’s been deeply involved in the company’s channel strategy and is here to walk us through not just what is changing, but why Citrix believes it’s the right move and how partners can get the most out of the transition. So let’s dive right in. Robert Dutt: Mark, thanks for taking the time. I appreciate it. Mark Sweeney: No, thanks for having me, Robert. Robert Dutt: I guess let’s start with a little bit of context first. You guys have been working with Arrow Electronics for a long time as a distribution partner and more recently, over the past little while, have handed over a little bit more responsibility and management to Arrow. I guess to level set it, can you walk me through before this March 1 announcement, what part of the relationships had already been managed by Arrow and what parts did Citrix still manage or handle directly? Mark Sweeney: Sure. Thanks for that. You’re right. Over the past numerous years, we’ve had a long and outstanding relationship with our friends at Arrow and it historically was a distribution-related arrangement that we had with them. Over the past two years, I would say that that relationship has started to change and evolve into where we see it today. Specifically, I would say it was probably about 18 months ago where we started to extend more of our business over to Arrow. That specific piece was around our CSP business. That was below a certain threshold. The threshold being about 2,000 users. Any of our CSP, MSP partners that were providing services to end users, we actually shifted those over to Arrow about 18 months ago to start supporting that business. The initial approach that we saw was very healthy and very good. One of the things that we wanted to do was actually extend that a little bit further. We looked at some of our mid-market customers and any of our mid-market customers that we didn’t manage with our enterprise team. We started to have Arrow actually manage them from a go-to-market perspective as well. The first idea there was to start to remove friction between the CSP business that was managing the same type of customers that were existing in our mid-market space. That happened probably about 12 months ago. During that period of time, our enterprise team continued to manage enterprise customers and larger MSPs that were above that 2,000 user threshold. If you thought about it and you just drew a line into our business, anyone that was below that 2,000 threshold was probably being managed by Arrow and anyone above was being managed by our enterprise team. Robert Dutt: We look forward to March 1 as that goes live, as that has gone live. What actually changes for a Citrix service provider or MSP partner of yours with this further transition to Arrow? Mark Sweeney: If there were MSP partners that were being managed by named account executives as part of Citrix, those MSP customers are also being moved over to Arrow as of March 1. Now, we’ve already communicated that to them. If not all of the MSPs should have received communication from us and from Arrow on this. I’ve also posted myself on LinkedIn about this. Anyone who was an MSP before, they are now also going to be managed by Arrow. Robert Dutt: Why make the move now? Was this something that partners were asking for? Is it sort of about where you’re at and where you want to take the channel? Mark Sweeney: I like to say, “Why not now?” The reason why I say that is because we saw some very good success with Arrow in our mid-market space and then also in our MSP business. What we also saw was a little bit of friction, as I mentioned earlier, in the smaller CSPs but then also in the mid-market space because we’re selling into the same market. What we wanted to do was we wanted to remove that friction entirely so that all MSPs now could be worked and can be functioning as a single entity that’s being managed by Arrow. What that allows us to do is really begin to focus on our innovation of our technology but then also allow us to give further support to our product development teams or product engineering teams, all of our support teams. I think for us, it wasn’t necessarily that it had to be done on March 1st, but I think it was just more of a natural time for us to do it as it was occurring 12 months after the mid-market space, 18 months after the initial CSP space. That’s why I think now is probably the best time. Robert Dutt: Continue to pull on that thread that you just introduced there. As this transition is complete, in terms of the partner business, where does Citrix stay very hands-on and where does Arrow kind of fully take the wheel? Mark Sweeney: I would say that Arrow is fully taking the wheel on all the business that is mid-market business. Anything where our enterprise account executives aren’t managing the team, they’re going to be there. Any of our service providers, any of our managed service providers, Arrow is taking the full reins too. But we still have a channel team and our channel team is still going to be managed by Kerry Saunders in the US from an enterprise perspective. For the enterprise CSA channel partners out there, they’re still going to be managed. We’re still going to be building this team. We’re still going to be managing that team. I’m working very closely with Kerry and her team. My counterparts on Arrow are actually working very closely with Kerry and her team as well. I’ll also say that I’m fully supporting the Arrow business right now and I have a team that’s supporting the Arrow business as well. We have Citrix representation that is going to be supporting all of our partners across the business. Robert Dutt: Most of our listeners are Canadian MSPs and resellers, folks who’ve been working with you or with Arrow historically. But as this transition happens, what can they expect to feel different in Canada compared to the rest of North America, if anything? Mark Sweeney: This business, what we’re doing is not just happening in North America as well. This is also happening in Europe. I’m based out of London, England, as I’m sure you hear the accent, originally American. I’ve actually spent a couple of years in Canada and in the Mississauga-Etobicoke area when we had our office there. I have had the opportunity to meet a number of your partners and your customers in the region. I don’t think anything is going to change based on geography. Anything that we’re going to see in the US is likely what we’re going to see in Canada. Similar things that we’re going to see in Europe. I would say immediate changes, there really aren’t going to be any. I think a lot of the business that we’ve already worked on with the channel partners in Canada as well as the other regions is going to be an extension. Any of the contracts that you have in place with us, those are being assigned out to the Arrow team. You’re not going to see anything change there. I did have the opportunity to spend a few days with Arrow and their leadership last week in Spain talking about strategies. One thing that it’s not a change, but I would think of it more as an opportunity. There are a lot of technologies that Arrow is exploring outside of Citrix. If I w

    19 min

  8. MAR 2

    ICYMI: Cisco rewrites partner pricing rules as component shortages bite

    Today is Monday, March 2, 2026. Welcome to In Case You Missed It, our weekly five-minute rundown of important channel news stories that might have flown under the radar last week. In this edition: Component shortages start hitting the channel: Rising memory and storage costs are prompting vendors to revisit pricing and deal protections, highlighted by a letter from Cisco to partners and reinforced by warnings from other vendors, distributors, and suppliers as availability tightens across servers, storage, and PCs. Pure Storage rebrands as Everpure: Pure Storage has rebranded to Everpure, signaling a shift toward AI-ready data management and rolling out partner program changes aimed at supporting subscription services and platform-led growth. WatchGuard targets MSPs with enterprise-grade security: WatchGuard says new platform enhancements allow MSPs to deliver enterprise-level security outcomes — including zero trust, MDR, and unified management — without enterprise-level complexity. AWS threat research highlights AI-driven attacks: New findings from Amazon Web Services show attackers using AI-assisted techniques to accelerate exploitation of perimeter devices, including firewalls, underscoring how rapidly the threat landscape is evolving. Read Full Transcript Hello and welcome to In Case You Missed It from ChannelBuzz.ca, your Monday morning recap where we catch you up on some of the channel news and trend headlines you may have missed in the last week. I’m Robert Dutt, editor of ChannelBuzz.ca. Today is Monday, March 2, 2026. Let’s get your week started right. This week, the IT channel is being forced to confront an uncomfortable reality. Global components shortages and memory price spikes are fundamentally reshaping how hardware deals are negotiated and fulfilled, and vendors are already updating partner policies as they try to cope. At the center of the storm is a note from Cisco Systems to partners, which was obtained by CRN, in which Cisco says it’ll adjust partner contract terms in response to rapidly rising memory costs and supply volatility. The company now reserves the right to cancel compute orders up to 45 days prior to shipment and to adjust pricing between order and shipment date if component costs, tariffs, or other external factors shift dramatically. That’s a significant departure from the traditional price protection norms. And this isn’t isolated. Executives from major distributors told CRN that memory and storage shortages, particularly DRAM and SSDs, are pushing prices up and tightening supplies across servers, storage, and PC portfolios. Memory prices are reported to have doubled year over year in early 2026, and are expected to continue rising, leading many distributors to shorten their own validities and revisit backlog pricing with vendors. Vendors themselves are directly advising partners of pricing shifts too. Lenovo has warned partners that select PC and server products will see price hikes in March unless orders are placed and shipped promptly, reflecting those costs. And hardware availability is also tightening in real terms. For example, Western Digital says its entire 2026 hard drive production capacity is already spoken for, with most allocations locked up in long-term agreements with hyperscale cloud and AI customers, a trend that could push prices higher and leave less inventory for channel projects. As memory, storage, and other components become harder to source and pricier to procure, partners may face shortened quote windows, less pricing certainty, and project timing risk, compelling MSPs and VARs to rethink their own quoting strategies, accelerate their sales cycles, and build supply chain agility into their roadmaps. Good luck out there. Also worth noting, Everpure, the company formerly known as Pure Storage, has completed a major strategic evolution, rebranding itself to signal a transition from traditional storage vendor to a broader AI-ready data management platform and announcing changes that partners should really pay attention to. The name change, which takes effect on the New York Stock Exchange March 5, reflects the company’s push into enterprise data orchestration and intelligence beyond simply shipping storage hardware and arrays. Central to this transformation is Everpure’s planned acquisition of data intelligence firm 1touch, a move designed to bring automated data discovery, classification, and semantic enrichment capabilities into its portfolio. This expands the enterprise data cloud vision, equipping enterprises to make data inherently AI-ready and more valuable across hybrid environments. Alongside that rebrand, Everpure has updated its partner engagement model with a new tiering structure that gives MSPs, resellers, and distributors clearer pathways to profitability and growth, reflecting the broader mission of the company going forward. Recent results show that the demand for data management and subscription services are driving double-digit growth, the company says, underscoring why partners should lean into Everpure’s evolving platform play. For channel pros, the message is that Everpure sees partners as critical to selling data-centric solutions in the AI era and is aligning its incentives and program structure accordingly. Up next, WatchGuard is positioning its latest platform updates as a way for MSPs to deliver what it calls enterprise-grade security to small and mid-sized customers, without the complexity typically associated with large enterprise tools. The company says the enhancements are focused on unifying endpoint, network, identity, and MDR capabilities into a single manageable platform designed for service providers. Key to the message is simplification. WatchGuard is emphasizing centralized management, automated threat response, and bundled security services that allow MSPs to deploy advanced protection like zero-trust network access, AI-driven threat detection, and 24/7 monitoring at scale and under predictable pricing models. For MSPs, the pitch is that this closes a long-standing gap, giving smaller customers access to security capabilities that more rival enterprise deployments, while still fitting MSP operational and margin requirements. WatchGuard argues that as threats become more sophisticated, the ability to offer enterprise-grade outcomes without enterprise-grade overhead is becoming a baseline expectation rather than a premium add-on. And speaking of more sophisticated threats to bring this week’s roundup home, new threat research from Amazon Web Services adding to the evidence that AI is actively changing how attacks are carried out, not just how they’re defended against. AWS researchers report seeing threat actors use AI-assisted techniques to more quickly identify and exploit vulnerabilities in perimeter devices, including Fortinet FortiGate firewalls, reducing the time between disclosure and real-world exploitation. The finding reinforces a growing concern for solution providers. Attackers are using AI to scale reconnaissance, speed up exploit development, and adapt attacks faster than traditional defenses expect. For MSPs and VARs, the implication is clear. Staying ahead now requires faster patching cycles, continuous monitoring, and security platforms that assume AI-accelerated threats are the norm and not an edge case. Those are some of the things we were paying attention to last week. This week on the podcast, expect to hear how Citrix is thinking of partners as it hands off more of its channel management to Arrow Electronics, a look at the role of identity in taming shadow AI, and how startup Lexful is aiming to redefine how MSPs think about documentation. I’m Robert Dutt for ChannelBuzz.ca. Have a great week!

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Cutting through the noise for Canadian VARs and MSPs

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  • Creator
    ChannelBuzz.ca
  • Years Active
    2011 - 2026
  • Episodes
    25
  • Rating
    Clean
  • Copyright
    Copyright © ChannelBuzz.ca 2026
  • Show Website
    ChannelBuzz.ca