Britive integrates with CallSine to enforce identity governance and secure access across autonomous multi-agent AI ...

Google recently published a guide outlining eight essential design patterns for multi-agent systems, ranging from sequential ...

Orchestration across multi-agent systems and platforms is a critical concern — and a key differentiator for IT leaders hoping ...

Model Context Protocol (MCP), a new open standard that defines how AI systems connect to data and tools, helps solve the ...

The next major evolution will come from multi-agent systems—networks of smaller, specialized AI models that coordinate across ...

Autonomous agents and multiagent systems represent a cornerstone of modern computational intelligence, combining individual self-directed decision‐making with coordinated, distributed actions.

With staff now using AI agents to build their own apps, IT teams have more cybersecurity exposures to monitor and account for ...

Enterprise AI agents boost automation but often run with broad permissions, allowing actions beyond user access and weakening ...

The biggest challenge to AI initiatives is the data they rely on. More powerful computing and higher-capacity storage at lower cost has created a flood of information, and not all of it is clean. It ...

AI agents perceive their environment, make decisions, and take action, while agentic AI operates with greater autonomy, ...

OpenAI’s Agent SDK is a comprehensive tool designed to assist the creation of intelligent, multi-agent systems powered by large language models (LLMs). It provides a robust framework for seamless ...