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

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

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

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

Tech industry visionaries foresee a fundamental shift in network intelligence. Microsoft CEO Satya Nadella envisions humans collaborating with AI agent swarms, while Nvidia CEO Jensen Huang projects a ...

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

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

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

The governance challenge is intensifying as digital systems increasingly optimize for machine consumption rather than human ...

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 ...