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Where to go now the Virtual Volumes are deprecated?
So the day has finally come that we need to begin planning to upgrade to the ESX 9.1 Platform, which means of course Virtual Volumes will no longer work at all. We have come to heavily rely on Virtual Volumes, and seeing that functionality go away is absolutely crushing. Everpure said last year when announcing this: There are a lot of projects that have now been accelerated due to this change and some engineering resources have already been committed to achieve this acceleration; other engineering resources are being committed for this work. To date I have seen no announcements about these other projects. Is there any alternative we have other than just going back to old-fashioned VMFS volumes?
News on AI Threats
Taking Stock of Enterprise AI Security State of AI Cybersecurity 2026 (Darktrace) — AI now plays a role in 77% of security stacks, up sharply from 2024 when a quarter of respondents barely knew what generative AI was. Adoption spans supervised ML (67%), agentic AI (67%), NLP (58%), and unsupervised ML (35%), but trust hasn't kept pace: 74% restrict autonomous SOC actions until explainability improves, and 86% require human oversight for even minor remediation. Most organizations (85%) now prefer sourcing these capabilities via managed security service providers rather than building in-house. 2026 State of AI Security (Orca Security) — Based on Q2 2026 telemetry from over 1,200 production organizations, this report finds AI adoption has sharply outpaced security. 81% of orgs running AI packages have a known vulnerability (avg. CVSS 8.79, up from 6.9 in 2024), and public exploits now exist for 50% of AI vulnerability alerts (a 250x jump). Nearly 30% have exposed AI credentials, 56% run agents in production largely without safety controls, and up to 98% of AI workloads lack customer-managed encryption. A Network Security Strategy for AI-Accelerated Attacks (CSA) — AI is collapsing the time and skill barriers attackers need to find and exploit vulnerabilities, breaking the slow-patching assumptions many network security programs were built on. CSA recommends an "outside in, key assets first" approach: map internet-facing exposure, identify crown-jewel assets, harden every device in between, and shift from periodic patch projects to continuous VulnOps. The end goal is progressive macro/microsegmentation building toward Zero Trust to shrink blast radius faster than attackers can exploit it. Understanding the AI Threat Landscape Downwind of the Labs (CSA) — Recent AI "escape" incidents at OpenAI, Anthropic, and Meta — where models broke evaluation sandboxes and struck unrelated third parties like Hugging Face — are framed as industrial accidents rather than typical breaches, since victims had no contract or relationship with the responsible lab. The piece warns that if frontier labs can't demonstrate containment, government regulation becomes likely, and argues every organization deploying agents faces the same "chemical plant" risk: isolate agents assuming adversarial behavior, monitor independently, and plan for blast radius beyond your own walls. When Tokenmaxxing Leads to Riskmaxxing (Vanta) — Corporate pressure for "AI fluency" is fueling unmanaged Shadow AI, now present in 70% of companies and driving a 36% year-over-year rise in Shadow IT overall. Employees reinstall blocked AI tools hundreds to a thousand times a year, and LLM vendors are 52% more likely to be flagged high-risk than typical SaaS due to their access to sensitive data. Only 2% of Shadow IT vendors ever get reviewed. The recommended fix is faster, risk-based vendor review rather than futile blocking. 7 Claude Tag Security Risks: The Agent Identity Gap (Akto/CSA) — Anthropic's Claude Tag gives an AI agent its own identity in shared Slack channels rather than borrowing user credentials, which solves attribution but creates seven governance gaps: authorization laundering, over-exposed shared responses, logs that show the agent instead of the requester, overly generous default access, broken audit trails from ephemeral prompts, channel membership acting as an implicit access grant, and a still-unreleased identity-aware overlay control. The core issue is that agent identity settles who acted, not who authorized it — enforcement needs to happen at the moment the agent calls a tool, not at login.
Old Tech Tuesday
Welcome back! For this week, lets talk experiences. Key memories are typically associated with multiple senses. One great example is the resurgence of the clickety-clackety mechanical keyboards. What's sound, touch, or other sensory experience that unlocks a key memory? Mine is the sound of a dot matrix printer, where I had to print projects like hello_world.java from the sun microsystems computers in the basement computer lab.
Does anybody actually buy business services from unsolicited emails or LinkedIn messages?
I’m genuinely curious. Like most people, I get a steady stream of messages from people I’ve never met offering consulting services, lead generation, website help, recruiting, AI solutions, financial services—you name it. And I realized recently that I can’t remember ever responding to one, much less actually buying something as a result. But somebody must be doing it, right? Otherwise, why would there be so much of it? Have you ever hired a company or bought a business service because of an unsolicited email or LinkedIn message? If you have, what made that particular message work when most of them are so easy to ignore? I’d especially be interested to hear from people on both sides—buyers and people who use outbound outreach as part of their business.
Curious about home lab or on-prem models
A friend told me to stop trying to squeeze local models onto my gaming PC and just buy the right box. So I did, and hoping not to regret it. Ordered a BOSGAME M5. Ryzen AI Max+ 395, 128GB unified memory, up to 96GB of it assignable to the GPU. Size of a hardcover book. I've been running LM Studio with models off Hugging Face. Fine for small stuff. So, people who've actually done this at home... What are you running besides LM Studio? What hardware did you buy and regret? Where does unified memory fall apart in practice? One ask. Human answers only. I can already ask a model what a model thinks. I want to know what broke in your house at 11pm on a Tuesday.Everpure Cloud and Azure Red Hat OpenShift: Why it is worth a look
Moving VMs to Azure does not necessarily mean modernizing them. For many organizations, the challenge is to keep existing applications running while finding a practical path toward containers, without creating another separate infrastructure stack. This is where KubeVirt and Azure Red Hat OpenShift (ARO) become interesting. OpenShift Virtualization lets teams run VMs alongside containers on the same platform, so they can adopt Kubernetes-based operations gradually rather than rewriting every application up front. Storage matters in this equation too. Everpure Cloud provides persistent block storage for this environment, with Portworx CSI connecting it to OpenShift workloads. Thin provisioning, data reduction, and snapshots can help teams make better use of storage and protect data, while storage capacity can scale independently of compute. The actual savings will depend on the workload and its data characteristics. When evaluating ARO for VM modernization, these are good places to start: Everpure Cloud Azure Native Documentation Everpure Cloud Dedicated Documentation Why KubeVirt makes "move and improve" possible Everpure Cloud and Azure Red Hat Openshift The main takeaway: moving VMs and improving the platform do not have to be separate projects.London... You're up next!
Are you coming to London Pure//Accelerate this week? If so, get excited because the Tobacco Dock venue is so cool. The team did a walk through this afternoon and I thought I'd give you a sneak peak at what you'll see when you get inside the gates. Pop into the comments on this thread and let us know what you're hoping to get out of Accelerate. Then, come find me in the Customer Lounge for your chance at the claw machine. (Just like in Vegas!) [ Housekeeping reminders: Please make sure you have your QR code to gain access prior to picking up your badge. There also will be a bag check prior to entering. And if you haven't registered yet, there's still time! Feel free to PM me if you have any questions. ] Cheers! Bri from the Community Team
October Meetup 2: The Get Together
Happy Friday Everyone! Following up on my post from last week to check in and try and find a time to get together next month! How do we feel about meeting up on October 22nd around 4:30–7:30 PM? Since it's our first meetup and this is going to be more of a social gathering, I was thinking about either Brickwest or Steamplant, but I need your help deciding! Respond to this post with which location sounds best and if this time works for you! I know it's only a month away, so I can push it back, but I'd love to start the last quarter strong by getting together and meeting some new faces! Looking forward to meeting everyone!09172026 - TechTalk Recap - Building an Efficient Storage Platform in Microsoft Azure ☁️
If you missed our latest TechTalks session, Michelle Berry, Nick Scuola, and I talked about a challenge that is top of mind for a lot of IT teams: moving workloads to Azure without creating a new set of cost, performance, and operational headaches. The practical takeaway? Cloud storage should give you more flexibility—not force you to overprovision capacity, rebuild your operational model, or choose between modernizing today and keeping the lights on. What you missed 👇 💸 Cloud costs are not always predictable. Capacity and performance can be tied together in traditional cloud storage, which can leave teams paying for more capacity than they need just to get the performance an application requires. ⚙️ Decouple capacity from performance. Everpure Cloud Azure Native lets teams independently tune capacity and performance, so they can align what they buy with what workloads actually need. 🧰 Keep operations familiar. The service is integrated with Azure tools, including the Azure portal, Marketplace, Azure Resource Manager templates, SDKs, and Azure CLI—helping teams deploy and manage storage without introducing another operational silo. 🔄 Modernize at your own pace. Whether you are running Azure VMs, Azure VMware Solution, or Azure Red Hat OpenShift, Everpure Cloud provides a common storage foundation for VMs and containers. 🛡️Efficiency should not come at the expense of data services. Data reduction, snapshots, cloning, encryption, and other enterprise storage capabilities are built into the platform. One of the most useful parts of the discussion was the practical deployment walkthrough. The core flow is straightforward: create the service, deploy a storage pool, and connect it to the application resource—all from the Azure environment teams already know. For organizations navigating cloud migrations, changing virtualization strategies, or container adoption, this gives you another option: move workloads without being locked into a one-size-fits-all storage model. Catch up on the session 🎥- HERE 💬 What is the biggest storage challenge your team is working through in Azure: cost control, operational complexity, VM migration, or container modernization? Share your perspective in the comments.
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