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Recommended Beginner Recipes
Greetings, I am just starting my Pure1 Workflows journey, and wanted to know some "Recipe ideas" others would recommend for beginners in order to get the hang of how to create them before progressing onto more complex ones? Example, setting up monitoring, provisioning volumes, etc...
Active Cluster for File
Hello everyone :-) I'm new to Active Cluster for File and I'm looking for some documentation or introductory material. I'd like to understand: How Active Cluster for File works How it is configured via the management interface General setup, requirements, and administration tasks If anyone can point me to official documentation, knowledge base articles, or deployment guides, I would really appreciate it. Thanks!Simplify mounting volumes on Azure VM with EC Mount VM Extension
Managing external storage on Azure VMs no longer has to involve repetitive guest OS configuration or custom scripts. The Everpure Cloud Mount VM Extension is now generally available across Azure regions. It automates iSCSI configuration, enables and optimizes MPIO, establishes target connectivity, and mounts storage volumes according to Everpure best practices. With support for both Linux and Windows VMs, the extension can be deployed during provisioning or added to existing VMs. It also integrates with ARM templates, Azure Bicep, and Terraform, making storage connectivity part of your infrastructure-as-code workflows. For Everpure Cloud Azure Native, a one-click mount workflow from the Azure Portal makes attaching storage even simpler. Everpure Cloud Dedicated customers can automate guest-side setup and reduce manual configuration at scale. Less scripting. Less configuration drift. A faster, more consistent path to usable storage on Azure VMs. Learn more: https://blog.everpuredata.com/news-events/announcing-general-availability-of-everpure-cloud-vm-extension/
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.
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Introductions
Welcome! Please introduce yourself to the Pure Storage Community.Pure User Groups
Explore groups and meetups near you./CODE
The Everpure /Code community is where collaboration thrives and everyone, from beginners taking their first steps to experts honing their craft, comes together to learn, share, and grow. In this inclusive space, find support, inspiration, and opportunities to elevate your automation, scripting, and coding skills, no matter your starting point or career position. The goal is to break barriers, solve challenges, and most of all, learn from each other.Career Growth
A forum to discuss career growth and skill development for technology professionals.
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