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One of the biggest barriers to deploying AI agents in enterprise environments isn’t the model quality — it’s the plumbing. Specifically: how do you give a cloud-hosted AI agent access to your private internal APIs without opening your firewall? Anthropic just solved this with MCP Tunnels, announced yesterday at the Code with Claude London developer event. The Enterprise Firewall Problem Model Context Protocol (MCP) has become the standard way to give Claude agents access to external tools — think databases, ticketing systems, data warehouses, feature-flag services, internal APIs. The problem is that most enterprise infrastructure lives behind firewalls, private VPNs, or air-gapped networks by design. ...

Big pharma has officially gone agentic. Bristol Myers Squibb — one of the world’s largest pharmaceutical companies, responsible for life-saving drugs like Opdivo, Eliquis, and Revlimid — announced today that it has signed a strategic agreement with Anthropic to deploy Claude Enterprise as its shared intelligence platform across its entire global operations. The scale is significant: more than 30,000 employees worldwide will gain access to Claude’s advanced reasoning and agentic capabilities. This isn’t a pilot program. This is whole-company rollout. ...

Google didn’t just announce a faster model at I/O 2026. They announced a different kind of model. Gemini 3.5 Flash, unveiled on May 19, is explicitly positioned as agentic-first — the first model in Google’s lineup designed from the ground up not for chat, but for the kind of long-horizon, multi-step, tool-using work that defines modern AI agents. It’s fast enough for real-time loops, capable enough for complex reasoning, and it’s already the engine powering several of Google’s biggest product launches this week. ...

Google’s Antigravity started as an AI-powered coding tool. With the launch of Antigravity 2.0 at Google I/O 2026, it’s become something far more ambitious: a complete, standalone agent-first development platform with a new CLI, a Python SDK, and a Managed Agents API that plugs directly into the Gemini API. This is a ground-up rebuild, not an incremental update. What’s New in Antigravity 2.0 The Desktop Application Antigravity 2.0 ships a redesigned desktop application built specifically for multi-agent workflows. The headline features: ...

Anthropic and KPMG Sign Global Alliance — 276,000 Employees Get Claude Managed Agents via Digital Gateway Anthropic and KPMG announced a global strategic alliance on May 19, 2026, that will embed Claude — including Claude’s Managed Agents capability — directly into the professional services giant’s core business operations. At 276,000+ employees across 138 countries, KPMG is one of the largest deployments of frontier AI agents in enterprise history. What the Alliance Covers The partnership has three main components: ...

Dell Deskside Agentic AI Launches at Dell Technologies World — 87% Cost Reduction vs Cloud APIs Dell Technologies unveiled Dell Deskside Agentic AI at Dell Technologies World 2026 (May 18–21, Las Vegas) — a production-ready solution for running autonomous AI agents locally on high-performance workstations. Built as part of the expanded Dell AI Factory with NVIDIA, the announcement positions on-premises agent execution as a serious, cost-effective alternative to cloud API-dependent architectures. ...

Enterprise AI adoption is nearly universal. Enterprise AI success is something quite different. New research from Nasuni — published in the State of Enterprise File Data Annual Report 2026 — puts numbers on a gap that practitioners have sensed for a while: most organizations are running AI agents, but most aren’t hitting their goals. A source note upfront: Nasuni is an enterprise file data management vendor with a commercial interest in highlighting data readiness challenges. The core statistics here are consistent with independent analyst forecasts (Gartner has projected 40%+ project abandonment rates in AI), so we’re treating them as directionally sound — but the framing should be read with that context in mind. ...

Today Cloudflare and Anthropic announced two major additions to their joint infrastructure for enterprise AI agents: Cloudflare Environments for Claude Managed Agents (now in public beta) and MCP Tunnels (research preview). Together, they fundamentally change how companies can run Claude agents at scale — without sacrificing control over their most sensitive data. What Just Shipped The headline feature is Cloudflare Sandboxes for Claude Managed Agents. When a Claude agent needs to execute code, run tools, or interact with external systems, it now does so inside a full stateful Linux microVM managed by Cloudflare. Builders get the benefit of Cloudflare’s global edge network for performance and scale, while enterprises retain strict control over what their agents can access and how they execute. ...

Hitachi has announced a strategic partnership with Anthropic that will put Claude AI in front of 290,000 employees worldwide — one of the largest enterprise AI deployments ever announced for Anthropic’s models. But the more significant part of the story isn’t the headcount. It’s what Hitachi plans to do with Claude inside its Lumada 3.0 critical infrastructure platform. What’s in the Deal The partnership has three layers: Workforce deployment: Claude will be rolled out to all approximately 290,000 Hitachi employees globally, across its divisions spanning energy, transportation, manufacturing, and finance. AI talent pipeline: Hitachi will train 100,000 employees to be AI professionals, a significant internal skills-building commitment. A new Frontier AI Deployment Center — staffed by roughly 100 AI experts across North America, Europe, and Asia — will lead implementation. Lumada 3.0 integration: Claude gets embedded into Hitachi’s HMAX solutions, which are the AI-powered layer of Lumada 3.0 for managing critical infrastructure. What Is Lumada 3.0? Lumada is Hitachi’s flagship digital services platform, a portmanteau of “illuminate” and “data” that has been central to the company’s strategy for nearly a decade. The 3.0 iteration represents a strategic pivot toward what Hitachi calls “physical AI” — the application of frontier AI models to real-world physical systems in sectors such as energy grids, railway networks, water treatment, and industrial manufacturing. ...

Something significant shifted in how enterprises talk about AI blockers. For years, the conversation centered on cost, talent gaps, and integration complexity. A new report from the Linux Foundation finds that in 2026, those concerns have been eclipsed by something different: security readiness. The Numbers Are Stark The Linux Foundation’s 2026 State of Tech Talent Report, released May 18, 2026 in collaboration with KodeKloud, surveyed organizations across industries on their AI adoption challenges. The headline finding: ...