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Mdash

All articles tagged with #mdash

Microsoft overhauls MDASH with MAI-Cyber-1-Flash, delivering broad cybersecurity AI at half the cost
technology2 months ago

Microsoft overhauls MDASH with MAI-Cyber-1-Flash, delivering broad cybersecurity AI at half the cost

Microsoft announced MAI-Cyber-1-Flash, a cybersecurity-focused model inside MDASH that can handle about 90% of MDASH tasks, with GPT-5.4 tackling the hardest 10%, and claims CyberGym performance of 95.95% at roughly half the cost of the current MDASH model mix. Access is limited to approved MDASH customers via an Azure AI Foundry private preview. MAI-Cyber-1-Flash is a 137-billion-parameter sparse Mixture-of-Experts model with a 256k-token context, designed to replace about 80% of existing MDASH models, and is evaluated in isolated settings with various benchmarks; results may not be directly comparable to public leaderboards. Project Perception will expand the security automation workflows with a public preview planned for August 3.

Microsoft unveils cost-cutting AI security agents that outperform rivals
technology2 months ago

Microsoft unveils cost-cutting AI security agents that outperform rivals

Microsoft introduced two AI-powered security tools: MAI-Cyber-1-Flash, a compact vulnerability-analysis model built into the MDASH harness, and Project Perception, a suite of specialized AI agents for identifying, assessing, and remediating security gaps. The company says the tools deliver faster risk detection at about half the cost of competing platforms and reports a 96% CyberGYM score, outperforming Anthropic’s Mythos, Google Gemini, and OpenAI GPT. The pre-release tools come amid heightened emphasis on AI-driven security after an OpenAI/Hugging Face incident; Microsoft cautions that production use should be carefully evaluated while acknowledging ongoing trade-offs between automated defense and new risks.

MDASH AI uncovers 16 Windows flaws in Patch Tuesday
technology4 months ago

MDASH AI uncovers 16 Windows flaws in Patch Tuesday

Microsoft's MDASH is a multi-model AI-powered vulnerability-scanning system (private preview) that orchestrates 100+ specialized agents to automatically discover, validate, and prove exploitable defects in Windows through a pipeline of auditing, debating, and proving steps. In early testing, MDASH identified 16 CVEs fixed in this Patch Tuesday, including two critical remote-code-execution flaws in ikeext.dll and tcpip.sys (CVE-2026-33824 and CVE-2026-33827), highlighting AI-driven vulnerability discovery's production-grade potential.