Tag: mdash
5 articles
AI Agents Outperform Solo Models in Bug Hunting with 90% Success Rate
AI agents are revolutionizing bug hunting, outperforming solo models with a staggering 90% success rate, and uncovering critical security holes in widely used open-source code. This breakthrough has significant implications for cybersecurity, with leading agentic systems like Wiz's Project Atlas and Microsoft's MDASH achieving double-digit gains over single-model competitors.
Microsoft Unveils AI Model Boosting Vulnerability Detection to 95.95% at Lower Cost
Microsoft's new AI model, MAI-Cyber-1-Flash, paired with GPT-5.4, has achieved a remarkable 95.95% vulnerability detection rate at nearly half the cost of its previous system. This game-changing tech, integrated into MDASH, is revolutionizing cybersecurity with faster and more affordable threat detection.
AI-Driven Patching Process Spurs Surge in Security Updates
Microsoft is supercharging its security update process with AI, leading to a surge in patches that keep customers safer. By harnessing the power of AI-driven scanning, the company is spotting more software vulnerabilities than ever before.
Microsoft Unveils 100-Agent AI System for Advanced Bug Hunting
Microsoft has just unveiled MDASH, a game-changing AI system that leverages 100 specialized agents to supercharge bug hunting and vulnerability discovery. This cutting-edge technology combines multiple AI models to outperform traditional single-model approaches, giving enterprises a powerful new defense against cyber threats.
Microsoft's AI System Uncovers 16 Windows Flaws in Patch Tuesday Release
Microsoft's cutting-edge AI system, MDASH, has successfully uncovered 16 critical Windows flaws in the latest Patch Tuesday release by leveraging a team of over 100 specialized AI agents. This innovative approach combines multiple AI models to detect and prove exploitable bugs, showcasing its potential to revolutionize cybersecurity.