What exactly is agentic AI? Here are the five core pillars leaders need to design reliable, scalable AI agents.

At the start of 2025, I predicted the commoditization of large language models. As token prices collapsed and enterprises ...

Given the breakneck speeds at which AI evolution is taking place, LLMs alone cannot meet enterprise needs. That is where ...

As organizations scramble to enact agentic AI solutions, accessing proprietary data from all the nooks and crannies will be key By now, most organizations have heard of agentic AI, which are systems ...

Modular orchestration, fail-safe design, hybrid memory management, and LLM integration with domain knowledge are essential to agentic systems that reason, act, and adapt at scale. As large language ...

Today's AI agents don't meet the definition of true agents. Key missing elements are reinforcement learning and complex memory. It will take at least five years to get AI agents where they need to be.

Researchers at the University of Science and Technology of China have developed a new reinforcement learning (RL) framework that helps train large language models (LLMs) for complex agentic tasks ...

MCP makes agentic AI flexible - but also vulnerable. For CISOs, visibility, control and secure workflows are crucial for trust and resilience. The model context protocol (MCP) was only introduced at ...

CRN's list of the coolest agentic security startups to know in 2026 includes emerging vendors in agentic SOC, agent-powered security remediation and AI agent protection.

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

For security leaders, the most dreaded notification isn't always an alert from their SOC; it’s a link to a news article sent by a board member. The headline usually details a new campaign by a threat ...