Autonomous AI agents, agentic workflows, tool use, computer use, and multi-agent systems.
1,407 articles
AI agents are being deployed across enterprises faster than security systems can adapt, raising concerns about oversight. Once limited to answering queries, these agents now perform tasks with growing autonomy, resembling privileged insiders. Source: blog.checkpoint.com
At its annual Connect conference, Meta unveiled new AI-powered wearables and an AI agent named Muse, with Zuckerberg pushing back against pessimistic narratives around AI's risks. Source: bozemandailychronicle.com
Amazon introduced a new agentic AI service aimed at third-party sellers on its main marketplace, expanding automated support for their businesses. Source: reuters.com
Meta is pushing further into smart glasses and AI even as critics warn that such wearable cameras and assistants raise fresh privacy risks for bystanders. Source: latimes.com
Meta's CEO presented a new handheld AI device alongside wearable tech, describing them as steps toward what he calls 'personal superintelligence' for everyday users. Source: wsj.com
Authorities in Spain disclosed what is described as the country's first reported case of a personal data breach allegedly carried out using an autonomous AI agent, raising new security questions. Source: ropesgray.com
A hands-on trial of Meta's Muse AI agent, nicknamed Pip by the reviewer, showed the assistant handling a variety of everyday tasks throughout the day. Source: cnn.com
From claiming flight credits to getting outfit suggestions, users are finding varied everyday uses for Meta's Muse AI agent, with example prompts to try. Source: mashable.com
Amazon Bedrock now supports open weight models to power AI coding agents, which have become essential tools for writing, debugging, and refactoring code. Source: aws.amazon.com
Legal tech firm Casepoint has launched two specialized AI agents designed to automate document relevance review, joining the shift beyond simple chatbots in legal AI. Source: lawfuel.com
At Meta Connect 2026, the company detailed how its AI assistant is being built directly into smart glasses, positioning wearables as the main platform for everyday AI help. Source: meta.com
Gartner predicts that autonomous AI agents in industrial settings will grow from just 3% of production use today to 65% by 2030. For now, most operators still rely on human oversight and deterministic systems rather than full autonomy. Source: virtualizationreview.com
Amazon has already blocked the Muse app from making purchases on its site, while critics raise growing privacy and security concerns. The AI assistant's rapid popularity is being matched by rising scrutiny. Source: wsj.com
Amazon has introduced CloudWatch Omni, a new unified observability tool designed for applications and AI systems, including agentic workloads. The service is app-centric and powered by AI to simplify monitoring across environments. Source: aws.amazon.com
Meta's new AI agent Muse has climbed to the top of the App Store charts as interest in AI-driven commerce grows. Some retail analysts describe it as a natural next step beyond traditional search. Source: cbsnews.com
In the emerging AI era, agents themselves are becoming the primary consumers of intelligence rather than humans. Every agent needs a reliable intelligence layer to make sound decisions and take effective action. Source: recordedfuture.com
A journalist let Meta's Muse handle dental insurance issues, book dinner reservations and even produce a podcast. The experience was impressive, though it required sharing significant personal data with the assistant. Source: nytimes.com
Snowflake's upcoming Agent Observability feature, part of its Observe platform, will let teams monitor, debug and evaluate AI agents. It aims to track quality, performance and cost across agentic systems. Source: snowflake.com
Agent swarms refer to groups of AI agents working together to tackle complex tasks no single agent could handle alone. The concept covers multi-agent architectures and their growing range of practical applications. Source: builtin.com
McKinsey & Company warns that corporate AI spending is likely to keep climbing as autonomous agents replace simpler chat-based tools. Agents typically require far more computing resources than standard text-based AI, driving costs higher. Source: businessinsider.com