Autonomous AI agents, agentic workflows, tool use, computer use, and multi-agent systems.
1,055 articles
Computer scientists at USC have created tools that screen AI agents before they act, block risky actions in real time, and trace their decisions afterward. The goal is to give organizations more oversight as agentic AI takes on more autonomous tasks. Source: viterbischool.usc.edu
TrueFoundry's new open-source AI agent harness, TrueForge, reportedly completes tasks 30–75% cheaper than Claude's Managed Agents. It achieves this by spinning up a sandbox only when the agent actually needs to run code or handle files, cutting unnecessary compute usage. Source: venturebeat.com
Epic has unveiled a broader suite of AI tools, including an agent platform, Cosmos-powered predictive features, and workflow automation for healthcare settings. The move signals Epic's shift beyond simple AI assistants toward more autonomous clinical decision support. Source: fiercehealthcare.com
Founders often only understand AI coding agent pricing after receiving a surprise overage bill from tools like Cursor, Copilot, or Devin. This guide explains the underlying pricing models and highlights where costs can spiral out of control. Source: startupfortune.com
A new tutorial explains how developers can configure their AI coding agent, running in a terminal or IDE, to build workflows using AWS Step Functions. The guide addresses the common issue of agents lacking built-in knowledge of AWS-specific services. Source: aws.amazon.com
UC Berkeley computer scientist Dawn Song spoke about the potential and dangers of agentic AI at the Agentic AI Summit 2026, held on the Berkeley campus in early August. The event brought together researchers to discuss the future of autonomous AI systems. Source: news.berkeley.edu
NVIDIA has introduced SkillEvaluator, a tool for assessing how effectively AI agents use their available skills and context. The blog notes that even capable models paired with well-documented NVIDIA libraries can waste steps without proper contextual guidance. Source: developer.nvidia.com
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
As agentic AI systems gain the ability to independently solve — and sometimes cause — problems, businesses are looking at kill switches as a safety mechanism. The article outlines different types of kill switches companies can implement to control AI agent behavior. Source: techtarget.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
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
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
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
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 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
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
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
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
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
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