3,200 vulnerabilities fixed. 98% stayed fixed. Zero human security review. See how StackHawk used AI coding agents to find, fix and verify vulnerabilities in production. 📅 October 1 | 1 PM ET 🎟️ Register now: buff.ly/RcKPrS1 #AppSec #AISecurity

Critical infrastructure teams are turning to AI to reduce repetitive engineering work and manage complex programs more efficiently. @ashimmy speaks with Sean Shahini, CEO and Co-founder of Inorsa, about Nora Intelligence, a new platform that brings specialized AI agents together to support infrastructure planning, engineering, and operations. The conversation covers how Nora works across CAD data, jurisdictional requirements, structural capacity, and financial modeling, giving teams a way to automate time-consuming workflows while maintaining visibility across large infrastructure programs. ▶️ Watch the full discussion: bit.ly/46Hio8I #AI #CriticalInfrastructure #AgenticAI #Engineering #Inorsa

Microsoft introduced an overhaul of its Copilot AI platform on Friday with digital agents, built-in application creation and direct integration with Microsoft 365 core productivity tools, encapsulating a strategic shift from simple conversational chatbots toward autonomous workspace agents. The flagship Autopilot functions as an autonomous, persistent coworker that retains memory, monitors communication across Teams and Outlook and carries out multi-day assignments without human intervention, with each instance assigned a unique corporate directory identity to address security and compliance concerns. Read the full article on the overhaul and how Microsoft is positioning against Anthropic: buff.ly/tBVov1L #Microsoft #Copilot #AIAgents #EnterpriseAI

VAST Data extended DataEnclave to self-hosted and on-premises environments, using NVIDIA Confidential Computing to protect sensitive data accessed by AI workloads. Read more: buff.ly/dSPCB47 #VASTData #ConfidentialComputing #AISecurity #EnterpriseAI #DataSecurity

Behavior drift is the agent security risk most teams won’t see coming. Alan Shimel talks with David Mytton, Founder and CEO of Arcjet, about securing AI agents at runtime. Watch: techstrong.tv/videos/intervi… #AISecurity

AI agents can act with user authority and access sensitive data. Can you prove who authorized what? Explore agent identity, least privilege and audit in this hands-on AWS workshop. 📅 Oct 1 | 3 PM ET 🎟️ Register: buff.ly/jXXK0pr #AISecurity #AWS #CloudSecurity

AI ambition is easy. Turning it into measurable value is where the real work begins. Join @RedHat’s virtual event, 𝘛𝘩𝘦 𝘈𝘐 𝘍𝘢𝘤𝘵𝘰𝘳𝘺: 𝘍𝘳𝘰𝘮 𝘝𝘪𝘴𝘪𝘰𝘯 𝘵𝘰 𝘝𝘢𝘭𝘶𝘦, for a practical look at how open architecture, accelerated computing and a strong partner ecosystem can support enterprise AI in production. The agenda brings together perspectives from @RedHat, @nvidia, @Dell and @TechstrongGroup on: 🔹 The current state of enterprise AI 🔹 Building an open foundation while keeping technology choices flexible 🔹 The AI Factory in action with Red Hat, NVIDIA and Dell Technologies 🔹 AI sovereignty and maintaining control 🔹 Partner solutions designed for real-world AI workloads 📅 October 15, 2026 🕦 11:30 a.m.–2:30 p.m. SGT 💻 Virtual event See how organizations can connect AI strategy with the infrastructure, platforms and ecosystem needed to deliver measurable outcomes. Register here: bit.ly/3TlaoqX #EnterpriseAI #AIInfrastructure #RedHat #NVIDIA

What is the cost of keeping AI and enterprise data separated? For organizations interviewed by Futurum Research that recently migrated to BigQuery from other cloud data platforms, respondents reported an average 21% reduction in TCO and 32% decrease in operational overhead within the first few quarters. The findings point to a broader infrastructure question: how much complexity comes from moving data between disconnected storage, compute and AI environments? New research from Futurum Research, in partnership with @googlecloud, explores how a more integrated approach can reduce infrastructure debt and support agentic AI. 📑 Download the report: 👉 bit.ly/4hyisxE #AgenticAI #CloudComputing #DataInfrastructure #GoogleCloud

An IDP earns trust one workflow at a time and can lose it just as quickly. Golden paths built for the common case become golden cages. Read the full piece here: zpr.io/rB7Dykvpv9zz #PlatformEngineering

An OAuth token taken from a former CrowdSec employee's laptop still had permission to read the company's private repositories, and by the time GitHub access was revoked three days later, roughly 170 private repos had already been dumped. The theft went undetected until the source code surfaced on a dark web marketplace in September, and the CEO's own conclusion is that the company was very close to clean. Read the full article on the TeamPCP supply chain attack and the offboarding gap it exposed: buff.ly/ZMmFx7e #Cybersecurity #SupplyChainSecurity #CrowdSec #TeamPCP

When Huawei first open sourced Karmada in 2021, its ability to control multiple Kubernetes clusters across different environments was primarily used for multi-region resilience and disaster recovery. Now it is being increasingly used for AI inferencing. @ContainerJrnl cloudnativenow.com/features/…

CloudBolt has added the ability to optimize GPU consumption at the individual Kubernetes workload level, since NVIDIA's DCGM tool only shows utilization per physical device and can only be invoked one node at a time with no history to look back on. IT teams can't manage GPU spend they can't attribute to a workload, and with utilization rates often in the single digits, that attribution is the prerequisite for chargeback, capacity planning and deciding which AI projects earn more hardware. Read the full article on the new capability and the push to rein in Kubernetes GPU chaos: zpr.io/XcJQzKc5PKpG #Kubernetes #GPU #CloudBolt #AIOps #FinOps

Karmada has graduated from the CNCF's technology program, giving the federated control plane for multiple Kubernetes clusters a stamp of approval for production use just in time for the AI inferencing work it needs to support. The project turns multiple clusters into a coordinated fleet with centralized placement, failover and multi-cluster autoscaling, and organizations like Bloomberg and Alibaba Cloud already run on it. Read the full article on the graduation and where the project goes next: zpr.io/SgqRqZU39mQR #Kubernetes #CloudNative #Karmada #CNCF

Enterprises are planning for agentic AI. The next question is whether their data environments are ready to support it. Futurum Research found that 74.2% of large enterprise technology leaders have a well-formed plan for using agentic AI to achieve measurable operational efficiencies. Turning those plans into reliable execution requires more than adding agents to existing infrastructure. It requires timely business context, governed access to data and an architecture designed to support continuous decision-making. See what that foundation could look like in new research from Futurum Research and @googlecloud. 📑 Download the report: 👉 bit.ly/4hyisxE #AgenticAI #DataInfrastructure #EnterpriseAI #GoogleCloud

groundcover has acquired Wand's Kubernetes optimization platform to close the gap between observability and infrastructure automation, letting the platform continuously adjust CPU and memory across a live cluster instead of guessing at requests before an application is deployed. The timing matters because GPU utilization in servers often sits in the single digits while processor, memory and server shortages push infrastructure costs up, and the first step toward letting any IT administrator manage a fleet of clusters is relying more on automation augmented by AI. Read the full article on what the acquisition means for autonomous Kubernetes operations: zpr.io/7G3w5u6esLtx #Kubernetes #Observability #CloudNative #AIAgents

The days of relying solely on static dashboards to monitor IT environments are starting to fade, and Riverbed is embedding AI agents that let IT teams launch natural language queries to spin up the views they need on demand. It is not clear yet how far this transforms IT management, since many organizations have already found themselves rehiring personnel to manage the hundreds of agents they deployed. Get the details on Riverbed's agentic observability push: buff.ly/vwts8Pb #Observability #AIAgents #ITOperations #AIOps

The AI stack many organizations operate today is being assembled one model, framework, and orchestration layer at a time. Each decision can introduce dependencies that become harder to unwind later. At DevOps Experience 2026, @mitchellashley, VP & Practice Lead, Software Lifecycle Engineering at @TheFuturumGroup, will examine how teams can evaluate whether their AI stack actually supports their goals or whether those goals are starting to bend around the technology already in place. He’ll explore where lock-in can hide, how speed can come at the expense of observability and control, and how to distinguish an AI stack that compounds value from one that compounds cost and risk. 📅 September 24, 2026 ⏰ 2:30 PM ET 💻 Free virtual event Register today: bit.ly/4ySwKA0 #AIStack #DevOps #AgenticAI #SoftwareEngineering

Agentic AI depends on more than powerful models. It also needs fast, governed access to the right enterprise data. New Futurum Research, developed in partnership with @googlecloud, examines how data gravity and infrastructure debt can add latency, cost and operational complexity as organizations expand their use of AI. The report explores how an Agentic Data Cloud can reduce unnecessary data movement and give AI systems access to the real-time context they need. 📑 Download the report: 👉 bit.ly/4hyisxE #AgenticAI #DataCloud #EnterpriseAI #GoogleCloud

Open-weight models now account for 34% of enterprise AI token usage, with adoption expected to reach 41% over the next year as companies seek lower costs. Read more: buff.ly/62rQ9ta #OpenWeightAI #EnterpriseAI #Gemma #AI #AIInfrastructure

Peloton runs live traffic spikes bigger than two Madison Square Gardens. Alan Shimel talks with Taq Karim, Senior Director of Engineering at Peloton, about its AI enablement platform. Watch: techstrong.tv/videos/intervi… #AI