ChannelBuzz.ca

ChannelBuzz.ca

Cutting through the noise for Canadian VARs and MSPs

  1. 3D AGO

    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 Inaccurate, outdated, or inaccessible documentation slows teams down, increases onboarding time for new technicians, and can even put service quality at risk.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
  2. 4D AGO

    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
  3. 5D AGO

    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
  4. 6D AGO

    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!

    6 min
  5. FEB 26

    MSPs, AI, and the Readiness Gap: What’s working, what isn’t, and what comes next

    Mike DePalma, vice president of business development for cybersecurity at OpenText AI has quickly moved from an abstract talking point to a real strategic priority for managed service providers. But while enthusiasm is high, readiness — and results — are far more uneven. In this episode, I’m joined by Mike DePalma, vice president of business development for cybersecurity at OpenText, for a candid conversation about how MSPs are actually navigating the AI transition. We dig into why many partners are excited about AI, yet still unprepared to deliver it in a scalable, customer-facing way, and why that’s starting to change. As MSPs gain a clearer understanding of where AI can be profitable, pricing models are evolving, and old assumptions about margins and service delivery are being challenged. Mike explains why the channel has made faster progress using AI internally than deploying it for customers, and how concepts like AI-as-a-Service are pushing providers to focus less on tools and more on business outcomes. We also talk about the return of consulting and custom project work, and why quarterly business reviews are becoming a key lever for expanding the scope of AI services. The conversation goes beyond technology to look at ecosystem dynamics: why partners want openness more than consolidation, what MSPs are asking vendors for right now, and how shifting feedback has forced OpenText to slow down changes to its partner program. Finally, Mike shares his view on what the AI opportunity will look like a year from now—and why deeper engagement with MSP communities may be more important than ever during this transition. If you’re trying to separate real AI opportunity from hype, this is a grounded, practical discussion you won’t want to miss.

    23 min

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Cutting through the noise for Canadian VARs and MSPs