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 ...
Microsoft MDASH outperforms Mythos Preview on the CyberGym benchmark, demonstrating improved vulnerability discovery ...
OpenAI recently introduced Daybreak, a cybersecurity initiative that combines its models with Codex to help defenders with secure code review, threat modeling, patch validation, dependency risk ...
100 AI agents worked in unison to discover 16 flaws, including four critical-severity ones.
Microsoft Corp. today detailed a new artificial intelligence-powered vulnerability discovery system that uncovered 16 previously unknown flaws in Windows networking and authentication components, ...
A new multi-model agentic AI security system built by Microsoft's Autonomous Code Security team helped researchers find 16 new vulnerabilities across the Windows networking and authentication stack, ...
MDASH relies on more than 100 specialized agents to find software bugs. It's being used internally, but Microsoft is also previewing the AI system with select enterprise customers.
Microsoft has joined the ranks of companies using artificial intelligence models to look for vulnerabilities in large codebases, and said its MDASH scanner found four critical remote code execution ...
Microsoft has unveiled a new AI-driven vulnerability discovery system that identified 16 previously unknown Windows vulnerabilities, including four critical remote code execution flaws, in what ...
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