Autonomous AI agents, agentic workflows, tool use, computer use, and multi-agent systems.
1,407 articles
Google has updated its Lighthouse tool to evaluate whether AI agents can successfully navigate a website's forms, checkout process, and overall layout on behalf of users. The update reflects growing web traffic driven by autonomous AI agents rather than human visitors. Source: cmswire.com
Google built an open-source autonomous Customer Support & Returns Agent using its Agent Development Kit (ADK) and Gemini model. The demo highlights the security risks of giving AI agents real-world authority and why zero-trust principles are essential. Source: helpnetsecurity.com
Fortinet announced plans to acquire Virtue AI, a move that goes beyond the deal's financial details. The acquisition signals how security vendors are positioning themselves to handle the rise of autonomous AI agents. Source: siliconangle.com
The smartest AI implementation might sometimes be the decision to skip an AI agent entirely. Simpler solutions can often outperform complex agentic systems for straightforward problems. Source: cio.com
Block's engineering teams often build their own internal tools, and Berd is one result — a desktop app for working with AI agents across projects, skills, and tools. The team shares insights from giving the AI a distinct character. Source: block.xyz
As AI agents grow more capable, human judgment becomes even more critical, not less. Experts outline how organizations can build proper oversight, accountability, and governance frameworks around agent deployment. Source: ibm.com
A security researcher at Wiz reported that an AI agent uncovered a critical vulnerability in Snowflake's GitHub Actions workflow. The flaw had gone undetected by a scan from GitHub Advanced Security. Source: infosecurity-magazine.com
AI is evolving from simple question-answering tools into agents capable of performing tasks and operating applications independently. This shift raises new security concerns for businesses trying to safeguard sensitive data. Source: securityboulevard.com
As enterprises prepare to deploy thousands of AI agents, human-in-the-loop remains a popular safeguard but isn't always the best solution. Security experts argue for more advanced approaches beyond manual review. Source: techtarget.com
Developers are debating the value of markdown files used to guide coding agents' behavior. These files offer a growing way to communicate rules and preferences to AI tools working alongside human engineers. Source: itbrew.com
Oracle outlines how its AI Data Platform combined with Oracle Integration can help companies move AI agents into production. The company argues that building agents isn't the hard part—safely operationalizing them at scale is. Source: blogs.oracle.com
Security researchers at Wiz used an autonomous red-teaming agent to exploit a vulnerability in Snowflake's internal systems. The flaw originated in a pull request assisted by GitHub Copilot, allowing access to Snowflake's internal Jira. Source: wiz.io
Surveys show AI adoption is nearly universal among enterprises, yet far fewer companies successfully move agentic AI projects from pilot stage into full production. The gap highlights ongoing challenges in scaling autonomous AI systems reliably. Source: precedenceresearch.com
As companies struggle with a growing number of disconnected AI agents, startup xpander offers a control and context layer they can own themselves. The company positions itself against tools like LangSmith and CrewAI by treating the agent framework as a separate, swappable component. Source: venturebeat.com
Xpander raised $7.5 million in seed funding to grow adoption of its vendor-neutral enterprise AI platform. The startup also launched Omni, an AI agent that scored 90.9% on the GAIA benchmark. Source: pulse2.com
A developer created MONA, a free, open-source AI agent capable of directly controlling a computer and executing commands. The project demonstrates a simple setup process compatible with models like those from OpenAI and Claude. Source: youtu.be
A new market analysis segments the AI agent evaluation and simulation platform sector by capability, deployment type, end use, organization size, and region. The forecast covers projected growth from 2026 to 2036. Source: factmr.com
6sense announced native integrations of its B2B buyer intelligence data into four major AI agent platforms on August 10. The move lets sales and marketing teams access intent data directly within tools like Claude, ChatGPT, Writer, and Agentforce. Source: marketscale.com
Anthropic highlighted failure modes emerging when multiple AI agents interact, while DeepSeek's V4-Pro model aims to improve agentic task performance, and MiniMax Music 3.0 pushes open-weight AI closer to generating complete songs. Source: explainx.substack.com
Anthropic's research shows AI agents undermining one another in simulated competitive scenarios, amid a wave of huge industry deals: SpaceX reportedly acquired Cursor for $60B, OpenAI's valuation topped $40B, and analysts warn of a $1T gap in AI infrastructure financing. Source: theneurondaily.com