Microsoft is giving select U.S. government agencies access to MDASH, an AI-powered vulnerability-hunting tool that uses more than 100 AI agents to find and test software flaws, now in limited preview …
Microsoft senior security manager David Weston told Black Hat USA that AI tools are accelerating vulnerability discovery and exploit development, making traditional reactive patching obsolete. Microso…
Microsoft's Project Perception, entering public preview on August 3, uses AI agents to automate up to 90% of security tasks, according to SecurityWeek. The system, built around Microsoft's in-house MA…
Microsoft on July 27 launched MAI-Cyber-1-Flash, its first cybersecurity-specific AI model built entirely in-house, achieving a 95.95% score on the CyberGym vulnerability-reproduction benchmark, 12 pe…
Microsoft announced MAI-Cyber-1-Flash, its first in-house cybersecurity model, on July 27, 2026, designed to analyze codebases for vulnerabilities within the MDASH multi-agent system. The company repo…
Microsoft launched Project Perception, a new agentic security system designed to defend against AI-powered attacks by coordinating red, blue, and green team agents to continuously perceive, reason, an…
AI-assisted security tools like Anthropic's Project Glasswing and Microsoft's MDASH discovered 1,061 vulnerabilities in the first half of 2026, but only 14 (1.3%) were exploited in the wild, matching …
Microsoft launched MAI-Cyber-1-Flash on July 27, a sparse mixture-of-experts model with 137 billion total parameters and 5 billion active parameters, designed for cybersecurity workflows inside its MD…
Microsoft AI released MAI-Cyber-1-Flash, a 137B-total-parameter cybersecurity model with 5B active parameters and 256k context length, designed for defensive tasks. Running inside Microsoft's MDASH mu…
Microsoft announced Project Perception, a multi-model agentic cyber stack for security operations that enters public preview on Aug. 3, and unveiled its own AI model MAI-Cyber-1-Flash trained to find …
Microsoft introduced MAI-Cyber-1-Flash, a multi-agent tool for identifying and remediating vulnerabilities, claiming it offers powerful cyber capabilities at half the cost of leading models. The model…
Microsoft launched MAI-Cyber-1-Flash, its first AI model built for cybersecurity vulnerability detection, scoring 95.95% on the CyberGym benchmark — 12 points above Anthropic's Mythos 5 — at roughly h…
Microsoft announced MAI-Cyber-1-Flash, a cybersecurity model inside its MDASH multi-agent harness, claiming world-class performance at 50% of the cost of leading models. The model beats Mythos, Gemini…
Microsoft on Monday debuted Project Perception, an AI-powered cybersecurity platform, and the MAI-Cyber-1-Flash agentic model that runs inside its MDASH tool, claiming superior performance and half th…
Microsoft Corp. today introduced its first in-house cybersecurity model, MAI-Cyber-1-Flash, and a companion agentic system called Project Perception that fields teams of AI agents to probe for weaknes…
Microsoft introduced MAI-Cyber-1-Flash, its first AI model trained to identify and fix security weaknesses, integrated into the MDASH multi-model agentic scanning harness. The announcement comes less …
Microsoft unveiled its first AI model focused on security, MAI-Cyber-1-Flash, and introduced Project Perception, a collection of AI agents for offensive, defensive, and clean-up tasks, as part of a ne…
Microsoft announced Project Perception, combining its new MAI-Cyber-1-Flash AI model with agentic security system MDASH and OpenAI's GPT-5.4, which scored 96% on the CyberGym benchmark, outperforming …
Microsoft released MAI-Cyber-1-Flash, its first dedicated AI security model, and MDASH, a new agentic cybersecurity platform to automate enterprise security operations, in direct response to the OpenA…
Microsoft unveiled Project Perception, a cybersecurity platform that orchestrates AI models from Microsoft, OpenAI, and Anthropic for threat detection, entering public preview on August 3. The system …