58 stories
Browser security spending is surging, but most products still rely on Chromium. Why browser isolation offers a different security model as AI agents raise the stakes.
Twice as many companies use OpenAI's agent orchestration platform as Anthropic's, VentureBeat Intelligence found in its September survey on agent orchestration. OpenAI holds that lead even though Anthropic may lead OpenAI on other important indicators.
Google is making its new, flagship Gemini 4 Argon multimodal language AI model broadly available today, October 13.Read more
AI agents need more than process knowledge to execute work reliably. They need company-specific context, governed workflows and controls that travel across systems.
Agentic AI requires more than access to data. Learn how a borderless data foundation can provide the context, trust and processing needed for autonomous agents.
If you sit in enterprise boardrooms today, the pressure weighing on CIOs comes down to two things: Velocity and ROI. Boards expect a mature agentic AI strategy and a definitive timeline for deploying autonomous systems that deliver measurable business impact.Read more
In multi-agent systems, agents can be individually correct and still produce a wrong result when they work together. One agent’s output becomes another agent’s context.
Anthropic’s models have outrun the people who patch what the models find.Read more
Researchers at Yann LeCun’s Advanced Machine Intelligence (AMI) Labs and academic institutions have developed H-JEPA, a world-model architecture that learns to plan at different timescales using separate representations of the environment.Read more
AI agents often struggle to assess their own progress and decide what to do next. They can waste compute resources following failed approaches, or they might overlook promising results or stop before completing a task.
Generative AI image generation has come a long way from the early days of DALL-E and Midjourney in 2021-2022. But even with the most advanced models now supporting generated text and complex infographics, perceptive human beings can still detect and recoil from the "AI look" that many of these…
Enterprises are increasingly hesitant to give AI agents carte blanche ability to deploy code or system changes to production without human approval, even as they continue investing in tools designed to evaluate agent reliability.Read more
Google is unveiling a new universal AI agent for the workplace that can research information, create documents, write code, coordinate other AI agents and complete tasks lasting hours or days — all while maintaining the same memory, business context and identity across different applications and…
Anthropic today released Claude Haiku 5.5, cutting token prices by 90% for requests below 100,000 tokens and targeting the repetitive work that can make enterprise AI expensive at scale: summarizing documents, classifying information, querying databases and handling smaller assignments for more…
Anthropic is putting Claude directly inside some of Google's most popular enterprise productivity apps: Docs, Sheets and Slides. Users can also open these types of files and edit them directly in the Claude web interface.Read more
A worker assembling a component demonstrates more than the finished task: which hand holds the part, when the other reaches for a tool, and how to recover when something slips. TwelveLabs wants to make those details usable for companies teaching robots to do similar work.Read more
In the enterprise, a confidently wrong AI agent answer can come from something more basic than the model: the agent doesn't know what the business means by its own terms, like what counts as revenue or which customer record is current.Read more
If you've spent any time seeking help from a customer service chatbot online, you've probably been frustrated by how slow, limited and "dumb" they can be — requiring you to rephrase your basic problem multiple times before you finally give up and demand a human.Read more
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