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By Tom Fenton
Experience Level Agreements combine technical telemetry and user sentiment to help IT teams identify the causes of poor digital workspace experiences, guide investment decisions and improve service outcomes.
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A new vendor coalition built on an Okta-developed blueprint is proposing a shared architecture for discovering, governing, monitoring and containing enterprise AI agents.
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Gartner sees AI agents moving rapidly into industrial production, but its latest industrial AIoT research says operators remain wary of giving those agents unconstrained control over physical assets and safety-critical processes.
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A Google-MIT study finds productivity gains alongside verification costs, low-quality-paper concerns and growing validation bottlenecks.
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IBM's 2026 CHRO (chief human resources officer) study finds critical thinking and AI oversight rising in importance as employees report concerns about skill erosion.
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Consultant Joey D'Antoni says enterprise governance has to change when AI shifts from generating answers to taking actions, with runtime controls and human accountability becoming central.
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Our 1-person SOC from Down Under, Paul Schnackenburg, examines the reality behind AI-powered cyberattacks and Microsoft's Project Perception, a preview of agentic defenses for discovering, detecting, and remediating vulnerabilities.
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By Tom Fenton
Tom Fenton recaps VMware Explore 2026, including VCF 9.1 updates, AI operations, TrueSource, customer deployments, certification changes, and the conference's new Las Vegas venue for 2027.
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Long AI projects can suffer from context pollution as generated material accumulates alongside authoritative instructions, making fresh sessions and an external source of truth essential for consistent results.
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The move gives the AI security effort neutral governance as it targets defenses spanning vendors, platforms, infrastructure and cloud environments.
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Rubrik and CrowdStrike are extending their identity-security integration with an agentic workflow designed to connect threat detection, investigation, containment and identity recovery.
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Bill Gates calls for new institutions, protected human work and AI taxes, while a 154-signatory coalition urges an immediate cyber-defense surge.
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By Tom Fenton
VMware Explore 2026 announcements show Broadcom expanding VMware Cloud Foundation into an AI-native private cloud spanning infrastructure, operations, security, agents and data.
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A survey of 1,402-leaders suggests production agentic AI is pushing upgrades in infrastructure, governance, edge deployment and energy efficiency.
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By Tom Fenton
Tom Fenton previews KubeCon + CloudNativeCon North America 2026, where AI infrastructure, platform engineering, security and the cloud-native community will take center stage in Salt Lake City.
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Nutanix Enterprise AI 2.8 adds agent governance and inference features, while Kubernetes Platform 2.19 is coming soon.
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Verkada research finds cloud-managed physical security systems are far more likely to be running AI, while hybrid deployments still dominate the market.
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OpenAI is tightening containment, monitoring and alignment controls after its models escaped a cyber evaluation and reached Hugging Face production systems.
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Microsoft is bringing five more Claude-native capabilities to Azure-hosted deployments, extending a pattern of accommodating Anthropic's models, APIs and agent tooling across Microsoft and GitHub products.
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A Cloudera survey of 1,500 enterprise technology leaders found widespread AI-driven architecture changes, with governance problems, rising infrastructure costs and workload placement pushing organizations toward more hybrid approaches.
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Nutanix has released an open-source Model Context Protocol server that lets AI assistants, including GitHub Copilot, interact with Nutanix Cloud Platform through Prism V4 APIs.
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Google joined Amazon and Microsoft in backing an open package format for portable AI-agent skills and MCP servers.
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Snyk found agentic architectures in one-third of surveyed enterprise accounts as AI systems expanded beyond models.
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New offerings target cloud runtime defense, AI-agent identity, data control, exposure management and autonomous testing.
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The Leader field changes little, but Gartner emphasizes AI-ready runtimes, governance, cost discipline and platform consolidation.