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AI & Enterprise

Security-focused AI models surge from vulnerability detection to reasoning

Competition is heating up over security-focused AI models designed to find software vulnerabilities and help fix them, as malicious hackers increasingly use AI in cyber attacks. The race now includes major AI developers and enterprise vendors such as Google, Cisco and Microsoft. Google introduced Gemini 3.5 Flash Cyber, Cisco unveiled its Antares small language models, and Microsoft announced MAI-Cyber-1-Flash. Startups are also moving quickly, including Cogent Security with its VR-1 reasoning model.

AI & Enterprise

Microsoft unveils first cybersecurity-focused model, launches agentic security platform

Microsoft has unveiled its first cybersecurity-focused AI model and an agent-based security platform. The company introduced the security model MAI-Cyber-1-Flash and the Perception platform at an event in San Francisco, TechCrunch reported. MAI-Cyber-1-Flash is designed to find difficult vulnerabilities in complex codebases and will be embedded in Microsoft’s MDASH project. Perception uses multiple agents to support and automate security workflows and links with MDASH. A preview is set for Nov. 3.

AI & Enterprise

AI-driven security automation to find and fix flaws is already reality, Microsoft executive says

Tae-soo Kim (김태수), vice president for agentic security at Microsoft headquarters, said AI-driven security automation to find and fix bugs is already usable now and that combining multiple AI models can improve results. Speaking at Codegate 2026 in Seoul, he said distinguishing what AI should handle versus what humans should judge is key. He described a multi-agent approach used in DARPA’s AI Cyber Challenge and Microsoft’s MDASH project.