Archive
Tag: Enterprise AI Architecture
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 […]
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” […]
Glean Reaches $300 Million ARR, Citing Surging Enterprise Demand
Glean has reached $300 million in annual recurring revenue (ARR), the company said Thursday, an amount that tripled in just 15 months. It attributes the growth to stronger enterprise data context, broader departmental deployment, and higher-than-average user engagement. This milestone signals that Glean is holding its ground, even as enterprise software vendors like Slack, Dropbox, […]
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 […]
Asana Buys StackAI to Close the Gap Between Work Management and Enterprise Execution
As Asana positions itself as the “operating system for human-agent teams,” it has faced a real vulnerability: its agents couldn’t execute work end-to-end across the enterprise systems where business actually runs. That changes today with the company announcing the acquisition of StackAI, a no-code platform that lets enterprises build and deploy AI agents across critical […]
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’s AI Control Tower Lands Inside Amazon Bedrock Agentcore
Enterprises that have gone the build-your-own route with agentic AI—picking their own models and standing up their own agent infrastructure on platforms like Amazon Bedrock AgentCore—have had to figure out governance themselves. ServiceNow is offering them a shortcut. The company on Wednesday connected its AI Control Tower with AgentCore, giving customers a single layer to […]
Twilio’s Ola Is the Communication Layer That Tells AI Agents No
As the AI industry builds agents with greater capabilities and freedom to do what they want, Twilio is choosing to build the layer that decides whether they should. On Thursday, the communications infrastructure platform unveiled Ola, a tool that lets people approve or block actions taken by their AI agents on their behalf. Created by […]
Atlassian Bets That Context-Rich Agents Beat Context-Blind Ones
When Atlassian introduced Rovo AI in 2024, it wasn’t running solely on a foundation model. It was drawing on the Teamwork Graph, the company’s structured map of how people, teams, projects, and decisions connect across an organization, built over more than two decades of enterprise use. That context layer is what Atlassian said set Rovo […]
