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中文(ZH) 周鸿祎ISC宣布打造中国版Mythos,360联手信创巨头发起“磐石之盾”安全协作计划

360 launches Chinese Mythos alternative, 'Tulongfeng,' for AI-driven cybersecurity

At the ISC.AI 2026 conference, 360 Group founder Zhou Hongyi announced the development of "Tulongfeng," a Chinese equivalent to Anthropic's Mythos model, designed for automated vulnerability discovery. He also unveiled "Yitianzhen," an AI-powered system for automated network defense. To bolster China's cybersecurity infrastructure, 360, in collaboration with companies like Phytium and Kylin, launched the "Rock Shield" initiative, aiming to share these AI security capabilities with domestic critical infrastructure and enterprises. AI

IMPACT This development signals a shift towards AI-driven cybersecurity, potentially accelerating the arms race in vulnerability discovery and defense.

RANK_REASON New AI model release from a major tech company (360 Group) positioned as a competitor to a frontier model (Mythos). [lever_c_demoted from frontier_release: ic=1 ai=1.0]

Read on 量子位 (QbitAI) →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

360 launches Chinese Mythos alternative, 'Tulongfeng,' for AI-driven cybersecurity

How we ranked this

Signal score
0 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Significant
New AI model release from a major tech company (360 Group) positioned as a competitor to a frontier model (Mythos). [lever_c_demoted from frontier_release: ic=1 ai=1.0]
Source corroboration
Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
model release, product, policy
Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
94 days old
Aged out of breaking-news scoring windows; ranking reflects the durable signal from the full source set.

Full methodology in our editorial standards.