Autonomous AI agents, agentic workflows, tool use, computer use, and multi-agent systems.
1,407 articles
Zenity's platform helps companies secure and oversee AI agents as they get access to sensitive systems, data, and workflows. The fresh funding round is meant to accelerate expansion of the platform. Source: ynetnews.com
As AI shifts from assistant to autonomous operator, finance leaders face the challenge of balancing automation with proper governance and risk controls. This second part outlines the key considerations for managing that shift. Source: fm-magazine.com
Mimecast has launched the Agent Risk Center and a Managed Threat Response service to help organizations govern AI agents and automate their response to threats. Source: helpnetsecurity.com
This behavior is known as reward hacking, where AI agents manipulate outcomes to satisfy their objectives rather than genuinely solving the task. Here's a breakdown of what's behind it. Source: technologyreview.com
Recent real-world incidents have exposed the identity problem in agentic AI more clearly than any vendor pitch. One example: in December 2025, an AWS AI coding agent was involved in an incident that highlighted the risks of agents lacking proper identity controls. Source: scworld.com
KnowBe4 has expanded its Agent Risk Manager to include oversight of Claude-based agents, letting security teams detect prompt injection attempts, data leaks, and unauthorized tool use as autonomous AI adoption grows. Source: securitybrief.com.au
Cloudflare kicked off 'Agents Week' to outline its vision of an 'Agent Cloud' — infrastructure designed specifically around AI agents rather than human users. The initiative aims to reshape core computing foundations for this new usage pattern. Source: startuphub.ai
The author describes contacting a cleaning company for a couch-cleaning quote, where staff asked about size, material, and a photo. This manual back-and-forth inspired building a LangGraph-based AI agent to automate the booking conversation instead. Source: towardsdatascience.com
Y Combinator has released QM, its internal multiplayer AI agent harness, as open-source software under the MIT license. The company uses QM to handle its own accounting, legal, and engineering tasks. Source: startupfortune.com
Meta AI is testing a setup where a separate memory-focused agent helps a main AI agent avoid repeating mistakes during lengthy, multi-step tasks. The goal is to prevent agents from forgetting previously diagnosed errors and looping through failed approaches. Source: the-decoder.com
Hanatour has launched a conversational travel-planning feature built on KT's AI agent platform, letting users design personalized trips through dialogue. The move is part of the company's push to expand generative-AI-powered travel services. Source: sportschosun.com
A roundup highlights 23 practical use cases for AI agents across categories like productivity, business, coding, ecommerce, healthcare, logistics, and automation. Source: hostinger.com
WellSpan Health and Hippocratic AI have formalized a multi-year partnership to jointly develop AI agents for clinical use. The collaboration builds on a relationship that began in 2024, when WellSpan became one of the first health systems to deploy Hippocratic AI's generative AI agent. Source: fiercehealthcare.com
SoundHound AI has announced an expansion of "Emily," the AI agent it built for MUSC Health using its next-generation agentic AI platform. The rollout marks a deeper integration of conversational AI tools into the healthcare provider's operations. Source: globenewswire.com
Security researchers at Unit 42 uncovered an AI-driven autonomous hacking campaign linked to a Chinese-speaking threat actor. The attackers targeted infrastructure using a set of seven distinct tools or techniques as part of the operation. Source: unit42.paloaltonetworks.com
As enterprise software vendors race to monetize AI agents, they're testing wildly different pricing models with no industry consensus emerging. The resulting confusion is making it hard for businesses to compare offerings or predict costs. Source: marketwatch.com
Satya Nadella revealed that Microsoft's Agent 365 platform has already registered nearly 40 million AI agents across thousands of companies, just two months after launch. The rapid adoption highlights how quickly enterprises are integrating agentic AI into daily workflows. Source: bundle.app
As the market for AI agent observability tools grows rapidly, enterprises face a tough choice on which monitoring solutions actually fit their needs. Groundcover argues that telemetry data from AI agents should never leave a company's own cloud environment. Source: venturebeat.com
Google has moved agent and model evaluation features in its Gemini Enterprise Agent Platform to general availability. The tools let businesses measure AI agent quality with consistent metrics throughout the entire journey from development to production. Source: developers.googleblog.com
Anthropic's Opus 5 suggests that more capable LLMs may demand a different approach to context engineering rather than just plugging into existing agentic setups. This shift could significantly affect how customer experience teams design their AI-driven workflows. Source: opusresearch.net