Archive
Tag: AI Agents
Agent Plugins Explained: What the New AI Standard Actually Does
You may think of the agentic world as the Wild West, but over the past two years, technologists have been developing rules of the road. Anthropic’s Model Context Protocol settled how agents access external tools. Google’s Agent2Agent and Cisco-backed AGNTCY took on the question of how agents reach each other. Now, there’s Agent Plugins, a […]
Adobe’s AI Collaborators Turn Outside AI Agents Into Governed Workfront Teammates
At the Adobe Summit last April, the company announced the Workflow Optimization Agent designed to automate “intelligent, connected actions” across workflows. Four months later, the agent—since rebranded as AI Collaborator—is now generally available. Through Adobe Workfront, the company’s work management application, users can delegate work to these virtual teammates similarly to how they might with […]
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 […]
Adobe Widens Its ChatGPT Presence With Plugin Built for Creative Workflows
When Adobe began abandoning shrink-wrapped software for the cloud in 2011, it dragged the entire industry toward subscriptions. Now the company is attempting its next migration, this time into territory it doesn’t control: chatbots. On Thursday, Adobe launched a plugin for ChatGPT that brings more than 70 of its tools natively into an assistant used […]
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 […]
OpenClaw Won. Big Tech Is Now Playing Its Game.
The definition of an AI agent has evolved rapidly since the term first entered the zeitgeist. The earliest versions were chatbots with better manners: systems that answered questions, drafted text, and waited for the next prompt. Tool use and function calling took them a step further, allowing models to query databases or call APIs, but […]
Web IQ Is Microsoft Rebuilding Search Around the Machines
Search engines learned what a good result looked like by observing how people behaved. A click followed by a long page stay signaled satisfaction, while a quick bounce back to the search results signaled a miss. Microsoft built its Bing search engine on those patterns. But in the AI era, there’s a type of user […]
Asana Launches Agentic Work Management Platform, Pitching Itself as the ‘Easy Button’ for AI-Driven Enterprises
Asana has spent over 18 years telling companies how to manage work. Now, it wants to tell them how to manage AI. On Thursday, the company unveiled its Agentic Work Management Platform, a system designed to align humans and agents around the same plan, context, and governance. Asana calls it the “most significant product evolution” […]
Don’t Believe the Hype: AI Capabilities May Not Create Real-World Value
Kevin Scott always has something to say on the eve of Microsoft Build. The company’s chief technology officer shares his read on where technology is headed, typically in step with whatever the company is about to announce. This year, I joined executives, developers, and my fellow journalists in a downtown San Francisco bar as Scott […]
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 […]