Autonomous AI agents, agentic workflows, tool use, computer use, and multi-agent systems.
1,407 articles
As AI agents bypass online ads entirely, the ad-supported internet business model faces disruption. New approaches like agentic commerce, pay-per-call systems, and the x402 protocol are emerging to enable payments between agents. Source: reports.tiger-research.com
A new tutorial explains how to pair an Oracle SQLcl MCP server with Cursor CLI to manage database permissions and track tool usage. It also covers adding persistent memory for AI agents within this setup. Source: blogs.oracle.com
Ping Identity has launched self-managed identity controls designed to secure and oversee AI agents operating within private cloud and hybrid infrastructures. The feature targets organizations in regulated industries needing tighter governance over agent access. Source: scworld.com
PEX CFO Luke Pritchett wants to deploy AI agents alongside the company's official books to build a parallel tracking system. The goal is to strip manual work out of his finance team's daily routine. Source: cfodive.com
Agentic AI has moved beyond research labs into real enterprise deployments, according to a new roundup. The report says that by 2026, the industry conversation has shifted well past simple conversational chatbots toward practical, autonomous applications. Source: kdnuggets.com
Insurance companies are boosting investment in automation as they grapple with pressure on loss and expense ratios. The growing adoption of AI agents is a key driver behind this shift. Source: programbusiness.com
A new Deloitte report finds most organizations aren't prepared to shift toward autonomous AI agents. The main obstacles are poorly documented processes, fragmented data systems, and rigid organizational habits. Source: hrdive.com
According to new VentureBeat Pulse Research, companies typically run three AI orchestration platforms simultaneously, yet 21% of them still lack the ability to halt an out-of-control agent's spending as it happens. Source: venturebeat.com
As AI agents become part of daily workflows across developers and HR teams alike, they're increasingly equipped with reusable 'skills' — sets of instructions guiding their behavior. The question now is how much organizations can safely rely on these capabilities. Source: securityboulevard.com
While vendors focus attention on model-level risks, one practitioner reports that in practice, serious failures in AI agent fleets more often stem from scheduling errors, faulty shell assumptions, expired credentials, and broken safety checks. Source: infoworld.com
The UK National Cyber Security Centre is urging organizations that deploy autonomous AI agents to adopt sandboxing, human oversight, and strict access controls to reduce cybersecurity risks. Source: infosecurity-magazine.com
Experts recommend safeguards, sandboxing, and continuous human oversight to capture the benefits of autonomous AI systems while containing unintended or risky behavior. Source: ncsc.gov.uk
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
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
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
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
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
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
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
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