China-based cyber actors are increasingly targeting U.S. technology firms to illicitly acquire artificial intelligence intellectual property, according to a report from cybersecurity firm CrowdStrike. These entities accounted for more than 58% of state-sponsored cyberattacks directed at tech companies between April 2025 and March 2026. Experts suggest this campaign aims to bypass U.S. export restrictions on advanced AI training chips by stealing the operational intelligence necessary to narrow the technological gap.
Why are Chinese entities targeting AI assets?
According to CrowdStrike, China-nexus adversaries are escalating espionage efforts because they cannot build high-level AI capabilities fast enough to compete with American firms. By infiltrating the networks of U.S. tech giants, these actors seek to extract proprietary algorithms and model architectures. This trend follows public reports from OpenAI and Anthropic earlier in 2026, which alleged that Chinese firms were extracting competitive intelligence from their platforms to fuel local development.
While U.S. export controls limit access to high-end AI training hardware, Chinese developers are increasingly using “model distillation” techniques to achieve similar performance levels using less computing power, according to data from Artificial Analysis.
How do these cyberattacks impact North American tech?
Attackers are maintaining persistent access to North American organizations by exploiting software vulnerabilities, CrowdStrike reports. This strategy allows them to monitor internal communications and development progress. Beyond the U.S., these groups have targeted government communications across Southeast Asia. The persistent nature of these breaches suggests a long-term intelligence-gathering operation rather than a series of isolated incidents.
Are other nations involved in similar activity?
Cybersecurity data indicates that North Korea is running separate, distinct campaigns. CrowdStrike found that North Korea-affiliated entities are attempting to infiltrate IT workforces across North America, Europe, and Asia. Unlike the state-sponsored espionage focused on AI theft, the North Korean operations are primarily designed to generate revenue for the regime through illicit workforce placement and financial fraud.
Comparison of threat actor motivations
| Actor Origin | Primary Objective |
|---|---|
| China | Theft of AI intellectual property and tech espionage. |
| North Korea | Revenue generation and workforce infiltration. |
What is being done to secure AI models?
Industry leaders are responding by tightening their defensive perimeters. Anthropic recently integrated advanced cybersecurity capabilities into its new Mythos model, which has been deployed to partners like CrowdStrike. According to Artificial Analysis, this model, released as Claude Fable 5, currently holds a performance lead of nearly 5 points over the next best competing model. These security-hardened AI tools are becoming a standard requirement for tech companies looking to protect their R&D pipelines.
Companies should prioritize patching known vulnerabilities in their remote access software, as CrowdStrike data shows this remains a primary entry point for persistent unauthorized access.
Frequently Asked Questions
What is the primary goal of Chinese cyberattacks on U.S. tech companies?
According to CrowdStrike, the goal is to steal artificial intelligence capabilities and intellectual property to compensate for domestic development delays caused by U.S. chip export restrictions.

How do North Korean cyber operations differ from those of China?
CrowdStrike research indicates that North Korean entities focus on infiltrating IT workforces to generate revenue for the regime, whereas Chinese operations are centered on state-sponsored espionage and the acquisition of high-tech assets.
Is there a defense against these AI-focused cyberattacks?
Yes. Tech firms are increasingly using security-hardened AI models, such as Anthropic’s Claude Fable 5, to bolster their internal defenses and detect unauthorized access attempts more effectively.
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