Tag: Enterprise Developers

Live Blog: Dreamforce 2026—the Agentic Enterprise Gets Real

AWS Makes Quick’s Desktop App Generally Available

Amazon Web Services has released a new way for enterprise customers to use its Quick AI assistant. On Thursday, the company announced that a desktop version is now generally available, offering another way to use it beyond the browser. This app also gives the AI more context by pulling in work-related information stored on the […]

Salesforce Unveils ‘Trusted Enterprise AI Harness’ to Give AI Agents Business Context

Salesforce built its business on human users, but over the past couple of years, it’s been building for the digital ones. Since launching Agentforce in 2024, the company has invested in helping customers become what it calls “agentic enterprises”—firms where autonomous agents work alongside human employees. On Thursday, Salesforce introduced the latest step in its […]

Why AWS Built Dogwood, an Open-Source Policy Language That Limits What AI Agents Can Do Over Time

You’ve tasked your AI agent to process vendor payments on your behalf. An invoice arrives one day, and the agent autonomously handles the transaction. It runs like clockwork—until the morning you find your bank account overdrawn. Digging in, you discover payments to vendors who never submitted an invoice and, in a few cases, never delivered […]

Zscaler Takes Zero Trust Beyond Human Users to Govern the Rise of AI Agents

As new AI agents accelerate their entry into the workplace, cybersecurity platform Zscaler is extending its Zero Trust Exchange to govern how these autonomous systems connect, access data, and operate across enterprise networks. On Tuesday, the company unveiled three new capabilities—AI Broker, AI Access Graph, and Endpoint AI Security—that together constitute what Zscaler calls the […]

CoreWeave Wants Enterprises to Ship Agents First and Fix Them Later

Building reliable AI agents has traditionally meant doing most of the hard work before anyone uses them. Developers run lengthy offline evaluations against labeled datasets, measure performance across quality, accuracy, cost, and style benchmarks, make improvements, and repeat the cycle until the numbers look acceptable. Only then does the agent get deployed to users. CoreWeave […]

OpenClaw Agents Were Built for Users. EnterpriseClaw Rebuilds Them for the Enterprise.

AI agents are getting more capable by the day, pushed forward by computer-use frameworks like OpenClaw and its variants. Enterprise adoption should be accelerating—and it would be if not for the security and governance issues: No one wants an agent wiping out an entire database in nine seconds without permission. On Tuesday, Automation Anywhere unveiled […]

8 in 10 Workers Are Still Doing AI’s Job for It

IN THIS ISSUE: New Workday research reveals that most employees are still spending their days manually bridging broken systems, even as AI adoption spreads. Then, a new Gallup survey finds most Americans don’t want AI data centers in their backyards, putting a number on the public resistance threatening the industry’s $700 billion infrastructure push. The […]

ServiceNow and Nvidia Want to Make Desktop AI Agents Safe Enough for the Enterprise

For years, enterprises have struggled to govern AI where it actually runs, across clouds, tools, and now, increasingly, the desktops where employees do their work. ServiceNow thinks it has an answer, and it’s building the solution with Nvidia. Project Arc is the result: an enterprise desktop agent designed to bring autonomous capabilities seen in tools […]

Glean Wants Enterprises to Treat AI Agents Like Software—With a Full Development Lifecycle to Match

Enterprises have spent the past year building AI agents. Now they have to figure out what to do with them. To help, Glean has released its Enterprise Agent Development Lifecycle (ADLC), a framework that gives Chief Information Officers and IT leaders a repeatable path to scale agents across their organizations. “Agents are software. They need […]