Multi-agent AI systems require strict AWS Cedar policies to prevent unchecked privilege escalation during automated ...

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. As the CTO of an AI-native email management startup, I've spent the past year building multi ...

Itamar Friedman discusses how architects and engineering leaders can break through the AI productivity ceiling using adaptive ...

IBM Bob multi-agent AI platform gains Bobalytics cost analytics and isolated subagents on July 9, one day after Microsoft ...

The identity layer for AI agents is finally being built. What MCP, A2A and new research delivered since March, and what's ...

From single to multi-agent: Amazon engineers are building frameworks that let external companies run AI agents through a governed platform, ensuring privacy and consistent performance. New AI voice ...

We just can’t seem to help ourselves. Our current infatuation with multi-agent systems risks mistaking a useful pattern for an inevitable future, just as we once did with microservices. Remember those ...

CyberGym benchmark scores over time, showing the rapid improvement in AI vulnerability discovery capabilities. Microsoft’s multi-model MDASH system (top right) tops the leaderboard at 88.4%. (CyberGym ...

Multi-agent AI agent personality shapes outcomes in collaborative and negotiation workflows but not in structured coding, ...

As artificial intelligence (AI) becomes more common in health care, from managing records to assisting with medication decisions, researchers at the Icahn School of Medicine at Mount Sinai are asking ...

Traditional processes used to discover new materials are complex, time-consuming, and costly, often requiring years of sustained effort. Recent advances in large language models (LLMs) have ...