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 ...

A multi-agent system divides work among multiple AI agents that coordinate, specialize, debate, or act in parallel. The ...

Multi-agent systems need strong governance to align agents and drive ROI. Learn how to evaluate MAS vendors and deploy AI systems effectively.

Adding more agents does not make a system more reliable. It makes the coordination problem visible. Each agent needs a job, a ...

BlackLine announced the general availability of Verity Prepare, a multi-agent artificial intelligence system that brings governed automation to manual and time-intensive close processes. Accounting ...

Austin, United States, Sept. 14, 2026 (GLOBE NEWSWIRE)-- The Multi-Agent AI Platforms Market was valued at USD 2.90 Billion in 2025 and is expected to reach USD 129.38 Billion by 2035, growing at a ...

Audi launches a multi-agent AI system with GitHub Copilot to automate software development for its B2B used-car platform, boosting speed while keeping humans in the loop. Audi Deploys Multi-Agent AI ...

"The AIs are working on this in the background, but what's happening right now?"In an era where multiple AIs autonomously coordinate to complete tasks, we explore the design theory of 'Multi-Agent UX' ...

Mythos has been MDASH’d. A new AI-powered system from Microsoft surpassed a headline-grabbing rival from Anthropic on a leading cybersecurity benchmark, using more than 100 specialized AI agents ...