A new generation of AI-powered cybersecurity tools is reshaping the threat landscape, and China is scrambling to keep pace. The launch of Anthropic’s Mythos model, a specialized AI system capable of discovering and exploiting cybersecurity vulnerabilities with unprecedented speed and efficiency, has alarmed Chinese policymakers and security researchers, who warn that a significant and potentially widening gap is opening between US and Chinese capabilities in this critical domain.
According to the South China Morning Post, Mozilla engineers reported that Mythos helped fix 423 security bugs in Firefox in a single month, a dramatic increase from an average of just dozens per month previously. The model’s ability to autonomously identify, analyze, and patch vulnerabilities at this scale represents a qualitative leap in cybersecurity capability that Chinese domestic models cannot currently match.
The Mythos Benchmark
The scale of Mythos’s impact is striking. Anthropic is not allowing Chinese vendors to use the model to patch their own vulnerabilities, effectively creating a one-sided advantage for US cybersecurity firms. OpenAI has taken a similar approach with GPT-5.5, which features enhanced cybersecurity capabilities but was initially released only to a select group of leading US cybersecurity vendors, including Cisco, CrowdStrike, and Cloudflare, before any broader rollout.
Austin Zhao, senior research manager at IDC China, told the South China Morning Post that the gap is real but not permanent. “Our assessment is that China’s own Mythos will definitely emerge, though currently the overall capabilities of its cybersecurity models are far from those of Mythos. But the overall trend is inevitable because the capabilities of China’s models are also rapidly increasing,” Zhao said. “How Chinese vendors can break through this predicament has become the most pressing issue.”
The concern is not merely about defensive capabilities. Advanced AI models like Mythos can also be weaponized for offensive operations, automating the discovery of zero-day vulnerabilities, generating novel attack vectors, and conducting large-scale network reconnaissance at speeds that far outpace human analysts. If the gap in offensive AI cybersecurity capabilities widens, China’s critical infrastructure could face an asymmetric threat environment.
A Market Set to Grow 37-Fold
The financial stakes are enormous. IDC projects that China’s AI cybersecurity industry will be valued at 59.35 billion yuan (approximately $8.7 billion) by 2030, a more than 37-fold increase from its estimated value of just 1.58 billion yuan in 2025. The AI security market, focused specifically on protecting AI systems themselves, is projected to reach 34.03 billion yuan by 2030, a more than sevenfold increase from 4.41 billion yuan in 2025, with a compound annual growth rate of 50.5% over the next five years.
These projections reflect the dual nature of China’s challenge: not only must it develop AI tools to defend against cyberattacks, but it must also secure its own rapidly expanding AI infrastructure against adversarial threats. As China’s agentic AI boom drives the deployment of autonomous systems across critical sectors, from financial services to power grids, the attack surface for AI-specific vulnerabilities grows correspondingly.
Austin Zhao summarized the challenge bluntly: “China will have to pool its collective strength as going it alone will be insufficient.”
Regulatory and Industry Response
Chinese regulators are responding on multiple fronts. Three regulatory bodies, the Cyberspace Administration of China (CAC), the National Development and Reform Commission (NDRC), and the Ministry of Industry and Information Technology (MIIT), jointly released China’s first major policy framework specifically covering AI agents, emphasizing “security technologies” such as cryptographic safeguards and cyberattack detection. This framework is directly related to the draft agentic AI regulations published by the CAC this week.
On the industry side, the China Academy of Information and Communications Technology (CAICT), which operates under MIIT, announced a new alliance between Huawei, Tencent, and the Chinese University of Hong Kong to promote open-source standards for verifying and auditing AI agent behavior. The initiative aims to create a domestic framework for AI security that is independent of Western standards or tools.
Barbara Li, a Shanghai-based partner at Reed Smith who specializes in cybersecurity law, told the Post that concerns over agentic AI have become a priority for regulators. The deployment of autonomous AI agents in sensitive environments such as healthcare, finance, and critical infrastructure creates new categories of risk that existing cybersecurity frameworks were not designed to address.
The Zero-Day Gap
Perhaps the most critical aspect of the current situation is the potential for the gap in zero-day vulnerability discovery to widen in the short term. Zero-day vulnerabilities, previously unknown security flaws that can be exploited before a patch is available, are among the most valuable assets in both offensive and defensive cybersecurity. The ability to discover them faster than an adversary is a decisive strategic advantage.
With Mythos and GPT-5.5 giving US cybersecurity firms a significant head start in AI-powered vulnerability discovery, Chinese security researchers face a race against time. The White House has accused China of “industrial-scale” distillation of US frontier AI models, but in the cybersecurity domain, the most advanced models are not available for distillation, they are being kept behind closed doors, shared only with trusted US partners.
For China, the path forward is clear but difficult: accelerate domestic development of specialized cybersecurity AI, build the talent pipeline needed to compete, and establish the regulatory frameworks that will govern how these powerful tools are deployed. The clock is ticking, and the gap, for now, is widening.