Microsoft's new vulnerability-scanning system, codenamed MDASH, scored 88.45% on the CyberGym benchmark, surpassing single-model systems from Anthropic and OpenAI by using more than 100 specialized AI ...
As enterprises increasingly demand fail-safes against single-vendor reliance, Sakana is proving that packaging collective ...
Stanford's DeLM lets AI agents coordinate without a central controller, cutting multi-agent inference costs 50% and beating ...
As AI continues to accelerate cyber risk globally, Microsoft has announced a new multi-model, AI-driven vulnerability ...
Multi-agent AI agent personality shapes outcomes in collaborative and negotiation workflows but not in structured coding, ...
Target Multiplai 2026 will spotlight multi-agent AI, bringing industry and academia together to discuss enterprise deployment ...
The latest monthly update to Visual Studio Code, version 1.107 (the November 2025 release), continues Microsoft's focus on AI-assisted workflows with expanded multi-agent orchestration across local, ...
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 ...
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 ...
As AI-assisted coding becomes more common, a new pattern is emerging: multi-agent workflows. A multi-agent workflow refers to using various AI agents in parallel for specific software development life ...
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