#Microsoft Security

#Agents37#MCP15#Developer Tools14#YouTube13#Claude Code11#AI Engineer9#RAG9#MoE8#Open Weights7#Codex6#Multi-Agent Systems6#Multimodal6#Reasoning6#Reinforcement Learning6#VLM6#Agent Evaluation5#Agent Systems5#Benchmark5#Claude5#Context Engineering5#Long Context5#Retrieval5#Agent Workflows4#AI Agents4#arXiv4#Coding Agents4#Data Pipeline4#Foundation Models4#Gemma4#Hugging Face4#Open Source4#Qwen4#Synthetic Data4#Workflow Automation4#Agent Harness3#Agent Skills3#Agent Training3#Agentic AI3#AI Safety3#Anthropic3#Design Systems3#Edge AI3#Fine-Tuning3#GRPO3#Image Generation3#Inference Optimization3#LLM Architecture3#LLM Evaluation3#LLM Serving3#LLM Systems3#MLOps3#NVIDIA3#Prompt Engineering3#Qwen3-VL3#RLVR3#SKILL.md3#VLA3#Agent Memory2#Agent OS2#Agentic Coding2#Agentic Search2#Apple Silicon2#Argilla2#Computer Vision2#CUDA2#Diffusion2#Distillation2#GEPA2#Hallucination2#Harness Engineering2#Information Retrieval2#Knowledge Graph2#KV Cache2#LLM Pretraining2#LLM 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Agent Systems

Microsoft MDASH는 취약점 탐지를 모델 경쟁에서 하네스 경쟁으로 바꾼...

Microsoft Security의 MDASH는 100개 이상의 전문 에이전트, 다중 모델 앙상블, debate·dedup·prove 파이프라인으로 Windows 취약점 16건과 CyberGym 88.45% 성과...

Sangmin Lee2026.05.19