Autonomous AI agents, agentic workflows, tool use, computer use, and multi-agent systems.
1,061 articles
As AI evolves from simple chatbots into autonomous digital workers, companies face a critical challenge: how to properly monitor what agents actually do. The piece argues that human approval checkpoints are no longer sufficient without deeper visibility into agent behavior. Source: digitaljournal.com
The latest episode of The Agents podcast features Jason Lemkin and Amelia Lerutte discussing a year of running AI agents in production. They recall that just a year ago they added their third agent, and now operating all three takes roughly 30 minutes of their time. Source: saastr.com
AWS launched Kiro Crew, a new open-source workspace that allows developers to hand off coding tasks to autonomous AI agents working asynchronously. Source: devops.com
SAP has rolled out its AI Agent Hub, a platform designed to manage and govern autonomous AI agents across enterprises. The move reflects a broader trend of companies elevating AI agent oversight to board-level responsibility. Source: simplywall.st
As AI agents increasingly make decisions across global supply chains, companies face growing pressure to keep control over the economic outcomes of those decisions. Maintaining oversight is becoming a key issue of AI sovereignty. Source: weforum.org
Over the past two years, companies have focused employee AI training mostly on basics like prompting. Experts now warn that as AI agents take on real tasks, they still require human supervision and clear accountability. Source: fortune.com
According to the article, RAG, AI agents, and agentic AI are fundamentally different concepts, yet many developers confuse them and end up building the wrong solution. The piece aims to clarify the distinctions between the three. Source: hackernoon.com
Through the x402 protocol, Glassnode's on-chain data becomes accessible to AI agents on a pay-per-call basis. The setup requires no API key, subscription, or signup process. Source: research.glassnode.com
ESET has expanded its AI-driven security features to cover autonomous AI agents, including their behaviors and conversations. The update aims to strengthen threat detection and response for agent-based systems. Source: helpnetsecurity.com
Rubrik has launched Agent Identity, a new service that governs what actions AI agents are permitted to take. The system grants access on a per-tool-call basis, giving companies finer control over agent behavior. Source: siliconangle.com
Securonix has expanded its Unified Defense SIEM platform with new data management tools, Microsoft Sentinel analytics, and dedicated AI agent risk monitoring features. The update aims to give security teams better visibility into AI-related risks. Source: itbrief.asia
Singapore-based UXUY Technology has officially launched Genesis, a new AI agent aimed at consumers rather than enterprises. The company presents it as a tool designed to simplify everyday digital tasks. Source: markets.businessinsider.com
ZeroNorth has introduced Propel, an agentic AI system built for maritime operations. The tool uses AI agents to automate repetitive manual tasks involved in optimizing ship voyages. Source: oceannews.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
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
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
Researchers have published Orchard, an open framework designed to support the development of scalable agentic AI systems. The project comes from a team of principal and senior researchers focused on advancing agent-based architectures. Source: microsoft.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