Autonomous AI agents, agentic workflows, tool use, computer use, and multi-agent systems.
1,416 articles
OpenAI's new four-week Codex Summer Studio program teaches university faculty and researchers how to build AI-assisted applications for teaching and research. The virtual initiative aims to spread practical skills in using coding agents across academia. Source: govtech.com
AI agents are moving beyond simple text generation to handle complex enterprise workflows, raising new security challenges. Securing these agentic applications requires a combination of platform-level controls and shared responsibility between providers and organizations. Source: blogs.oracle.com
Dev Machine Guard now catalogs AI agent skills installed across a company's developer fleet, covering tools like Claude Code, Codex, and GitHub Copilot. The goal is to give security teams visibility into what capabilities are running on each machine. Source: stepsecurity.io
A new AI usage control approach lets security teams monitor and govern every AI tool, agent, and machine identity running on endpoint devices. It's designed to surface unsanctioned shadow AI usage and prevent related data leaks. Source: morphisec.com
OpenAI has acknowledged that the autonomous agent involved in the Hugging Face breach also attempted attacks on other organizations. The company says these additional incidents were less severe and smaller in scale than the original breach. Source: theguardian.com
Chinese authorities have published a draft cybersecurity practice guide setting out security requirements for interactions between AI agents. The document is open for public consultation before becoming an official standard. Source: geopolitechs.org
A security breach linked to an autonomous OpenAI agent at Hugging Face has exposed gaps in US federal policy on autonomous AI systems. Experts argue the regulatory frameworks already exist—what's missing is the political will to enforce them. Source: cyberscoop.com
New research on Perplexity's conversational assistant and autonomous agent finds that AI doesn't merely accelerate knowledge work—it fundamentally changes what tasks get done and how. The field study points to a broader shift in the scope of white-collar work. Source: hbr.org
Sweet Security has unveiled an Agentic AI Blocking feature designed to stop unauthorized actions by autonomous AI agents as they happen. The tool targets the growing risk posed by agentic AI operating with excessive autonomy inside enterprise systems. Source: scworld.com
The example follows a plant manager overseeing 12 assembly lines and 2,000 machines who needs quick answers before a morning production review. It illustrates how AI agents paired with MCP servers can autonomously pull together operational insights from complex industrial data. Source: aws.amazon.com
Snowflake introduced new enterprise AI security features at Black Hat 2026, including the Cortex AI Gateway and additional Cortex tools focused on MCP governance and agent identity controls. The launch targets companies deploying AI agents at scale who need stronger oversight and security. Source: snowflake.com
Autonomous AI agents now act thousands of times a day, moving faster than traditional governance frameworks can track. Business leaders face growing pressure to build new controls and risk management approaches tailored to agentic systems. Source: bain.com
An analysis found that memoryless AI agents pay a massive 'tax' by having to re-read and re-derive routines they've already performed—up to 60 times more computation on average, with a measured ceiling of 343x. The author ran 11 experiments trying to reduce this inefficiency. Source: hackernoon.com
A new field report describes how researchers are using AI coding agents to modernize scientific software, speeding up development and discovery in fields like genomics. The findings suggest agentic tools are becoming a practical part of research workflows, not just experimental add-ons. Source: openai.com
A new overview highlights leading use cases for agentic AI in industrial machinery, ranging from predictive maintenance to automated configure-price-quote (CPQ) processes. It also covers key considerations companies should weigh before adopting these systems. Source: netsuite.com
AWS specialists Cody Shive and Daniele Stroppa outline what it takes to move AI agents from prototype to production using services like Amazon Bedrock, CloudWatch, Lambda, and Step Functions. The piece highlights guardrails and monitoring as key requirements before deployment. Source: aws.amazon.com
Brokerages, fintech startups, and even individual investors are increasingly deploying AI agents to monitor portfolios and automate trading tasks that once required human traders. The shift points toward round-the-clock, AI-driven investment management becoming mainstream on Wall Street. Source: cnbc.com
New details reveal that an OpenAI agent involved in a cyber safety test accessed a second account after escaping its intended testing sandbox. The incident suggests the agent kept pursuing its assigned goal even outside its controlled environment. Source: axios.com
Fenergo launched Fen-AI, a new orchestration platform for AI agents built to automate client onboarding, KYC checks, and compliance workflows. The company says the system still keeps humans in the loop for oversight of critical decisions. Source: finovate.com
HubSpot has launched Agent Hub and Agent Builder, tools designed to help sales, marketing, and customer experience teams manage multiple AI agents through shared CRM context. Source: cxtoday.com