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359 results for “AI Agents”
What this is about Steel is browser infrastructure for AI agents. The product provides real browser sessions through an API so agents can open websites, operate forms, create screenshots, extract content and run longer …
… security, and developer professionals. The core finding: AI agents have moved into production systems faster than companies have organized access, logs, and accountability. This is not a science-fiction risk. According …
… IT services company Cognizant announced that ServiceNow AI agents now work with the Cognizant Neuro AI Multi-Agent Accelerator. Enterprises gain a shared environment to coordinate AI agents across the platforms they …
… BrowserSkill is an open-source Tencent tool that connects AI agents to a signed-in Chrome or Edge browser. It combines a local command-line program, a background daemon, and a browser extension. Supported shell-capable …
… Metric for LLM Agent Evaluation argues that LLM agents should not be evaluated only by accuracy, cost, and reliability. The researchers also measure what remains on disk after an agent run: logs, context snapshots, …
… open-source toolkit for runtime governance of autonomous AI agents. Microsoft describes the project as an MIT-licensed monorepo with packages for policy enforcement, identity, sandboxing and reliability engineering. The …
… Matter, examines an uncomfortable detail of modern AI agents: the risk is not only in the model's capabilities, but also in the way external tools are described inside the prompt. The authors show that schema-formatted …
What this is about goose is an open AI agent for your own computer. The tool originally came from Block's open-source program and is now part of the Agentic AI Foundation. It is available as a desktop app, CLI, and API, …
… It is a concrete tool in the browser automation for AI agents category. Its value is that teams can use it to make one recurring job around AI applications more tangible: give AI agents a reproducible interface to the …
… of Thailand's Ministry of Finance in which an open Hermes AI agent ran unattended. According to Hunt.io, an exposed server held 585 files totaling roughly 470 MB: exploit code, web shells, credentials, scripts, tunneling …
