Microsoft AI Releases MAI-Cyber-1-Flash: A 5B-Active-Parameter Cyber Model That Pushes MDASH to 95.95% on CyberGym
MarkTechPost Asif Razzaq ● Covered by 3 sources
Microsoft released MAI-Cyber-1-Flash, a 5B-active-parameter AI model designed for cybersecurity vulnerability detection that runs within MDASH, Microsoft's multi-model scanning system. The model achieved 95.95% on CyberGym, a benchmark of 1,507 real-world vulnerability tasks, up from 88.45% when MDASH used only general-purpose models. MDASH now routes 90% of tasks to MAI-Cyber-1-Flash while escalating the hardest 10% to GPT-5.4, reducing costs by 50% while improving vulnerability discovery performance.
Why it matters
Microsoft AI has released MAI-Cyber-1-Flash, its first model built specifically for cyber defense. It is a 137B total, 5B active sparse MoE fine-tune of MAI-Code-1-Flash with a 256k context window. The model does not ship as a standalone endpoint — it runs inside MDASH, Microsoft's multi-model agentic scanning harness, where it handles up to 90% of tasks and pushes the system to 95.95% on CyberGym. The post Microsoft AI Releases MAI-Cyber-1-Flash: A 5B-Active-Parameter Cyber Model That Pushes MDASH to 95.95% on CyberGym appeared first on MarkTechPost.
