China's New AI & Data Trade Secret Laws Take Effect: A Global Shift

Beijing has formally rolled out its revamped intellectual property framework, with China's New AI & Data Trade Secret Laws Take Effect as of June 1, 2026. This significant legislative update aims to bolster protection for vital digital assets and reshape the landscape of commercial competition, prompting a global shift in how companies manage their proprietary information. The move reflects China's intensified focus on safeguarding technological innovation amid escalating strategic competition, particularly in the critical fields of artificial intelligence and data-driven industries.

Key Aspects of China's New AI & Data Trade Secret Laws Taking Effect

The State Administration for Market Regulation (SAMR) officially issued the "Regulations on the Protection of Trade Secrets" (Provisions), which came into force on June 1, 2026. These new Provisions replace the previous rules from 1995, marking the most substantial modernization of China's administrative trade secret protection regime in nearly three decades. The overhaul is designed to adapt China's legal framework to the realities of the digital economy, where intangible assets like data and algorithms are increasingly central to business value and competitive advantage.

The new regulations explicitly expand the scope of what qualifies for trade secret protection. For the first time, digital assets such as data, algorithms, computer programs, and source code are specifically included under the umbrella of protectable trade secrets. Beyond these technical aspects, the Provisions also cover "other commercial information" including business ideas, management methods, sales strategies, financial data, plans, samples, and customer data. This comprehensive update signals a proactive approach by Beijing to secure its economic and technological pillars.

Expanded Definition and Criteria for Trade Secrets

The updated definition of a trade secret under the new Provisions hinges on three cumulative elements: the information must not be publicly known, possess commercial value, and be subject to corresponding confidentiality measures taken by the rights holder. This nuanced definition marks a significant departure from the 1995 rules, which required information to have "economic benefits" and "practicality." The shift to "commercial value" broadens the scope of protection considerably, allowing for the inclusion of early-stage research results and even data from failed experiments, provided they hold potential commercial benefits or competitive advantages.

Key Elements of a Trade Secret:

• Non-Public Nature: The information must not be generally known or readily accessible to persons within the circles that normally deal with such information.
• Commercial Value: It must possess actual or potential commercial value because it is secret. This is a broader standard than previous requirements.
• Confidentiality Measures: The rights holder must have adopted reasonable and appropriate measures to keep the information secret.

The requirement for "corresponding confidentiality measures" is now more detailed and comprehensive. Companies are encouraged to implement layered internal control systems tailored to different risk scenarios. These measures include, but are not limited to, limiting file access based on employee rank, actively hiding sensitive details, and meticulously tracking user activity. Furthermore, the regulations stipulate that trade secrets and their physical or digital carriers must be managed separately through methods such as marking, classifying, isolating, encrypting, and sealing. Companies are also expected to restrict or prohibit the use, access, storage, or copying of computer equipment, network devices, and storage media that can access trade secrets.

Strengthening Enforcement and Penalties

The new Regulations on the Protection of Trade Secrets significantly enhance administrative penalties for infringement. Previously, fines ranged from CNY 10,000 to CNY 200,000. Under the new framework, standard violations can incur fines between CNY 100,000 and CNY 1 million (approximately $14,500 to$145,000 USD). For serious cases of trade secret misappropriation, penalties can escalate dramatically, reaching fines of CNY 1 million to CNY 5 million (approximately $145,000 to$725,000 USD), along with the confiscation of any unlawful gains. These increased penalties underscore China's commitment to deterring trade secret theft and providing stronger legal recourse for rights holders.

The Provisions also provide a more comprehensive framework for identifying "improper means" of trade secret infringement. These now explicitly include acts such as theft, bribery, fraud, coercion, and electronic intrusion. Crucially, the regulations also target emerging digital threats like remote data scraping, which has become a frequent method for illicitly obtaining digital assets. Additionally, the new rules introduce provisions on instigation, inducement, and assistance in infringement, thereby improving third-party liability and aiming for "full-chain accountability" for market violations.

Extraterritorial Reach and Global Implications

One of the most notable aspects of China's new trade secret framework is its explicit assertion of extraterritorial jurisdiction. The Provisions stipulate that acts of trade secret infringement committed outside the territory of the People's Republic of China will be subject to Chinese law if they disrupt market competition within China or harm the legitimate interests of domestic business operators. This extraterritorial reach represents a significant expansion of Beijing's regulatory power and has profound implications for international businesses and cross-border collaborations. The move is part of a broader trend of enhanced regulation of the digital economy in China. The "Anti-Unfair Competition Law" (AUCL), which the new trade secret Provisions operate within, was itself amended in 2025 and came into effect on October 15, 2025. The revised AUCL specifically prohibits unfair competition leveraging data, algorithms, technology, or platform rules and addresses illegal data acquisition. This layered legal approach underscores China's ambition to become a global leader in AI governance and to protect its technological advancements. For more on this, see our article on AI governance challenges.

Challenges and Considerations for AI and Data Protection

While the new laws are designed to fortify China's position in the digital economy, they also present unique challenges, particularly concerning artificial intelligence. Many advanced AI algorithms, especially those involving machine learning, operate as "black boxes" where specific details of their functioning can be incredibly difficult to articulate. This inherent opacity could pose difficulties in demonstrating what constitutes a protectable trade secret or proving misuse within opaque or probabilistic AI systems. Proving infringement might, therefore, require novel legal approaches that rely more on forensic evidence of data and model usage rather than direct code comparison.

The increasing complexity of AI development, which often involves multinational personnel, cross-border collaborations, and globally distributed infrastructure, further complicates trade secret protection. Companies now face amplified risks of cross-border trade secret disputes, particularly related to employee mobility and insider misconduct, such as the alleged retention or replication of model architectures and training data. Geopolitical tensions, coupled with differing regulatory approaches between countries like the US and China, are creating a fertile ground for sustained increases in such disputes. Understanding the rise of digital economy regulations is crucial for international businesses.

For businesses operating in China, the new legal landscape necessitates a proactive approach to compliance. Companies are advised to:

• Review and Update Confidentiality Frameworks: Align existing policies, agreements, and internal protocols with the newly enumerated measures and expand the definition of protectable information to include AI-specific assets like training methodologies, datasets, model weights, and prompt libraries.
• Implement Technical Safeguards: Strengthen measures for data protection, including segmented repositories, restricted access to sensitive assets, monitoring of development activity, and controls over the use of external AI tools. This could involve adopting secure enclaves, implementing homomorphic encryption for data in use, or leveraging federated learning principles to keep sensitive data decentralized while model training occurs. Fine-grained access controls and robust version control systems for AI models and data are also critical.
• Enhance Insider Risk Monitoring: Implement proactive monitoring, anomaly detection for downloads, and track unusual behavior within systems. Advanced Data Loss Prevention (DLP) systems and user behavioral analytics (UBA) can identify suspicious activity, such as attempts to access unauthorized trade secret information or large data transfers. A robust offboarding process for employees, including forensic analysis of devices, is also crucial.
• Prepare for Litigation: Document model lineage, development history, maintain version control and access logs, and establish governance protocols for key technical decisions to build AI-specific litigation readiness.

International Reactions and Geopolitical Landscape

The implementation of these laws unfolds against a backdrop of intensifying technological competition between China and Western nations, notably the United States. The US has, for its part, been tightening outbound-investment rules and expanding semiconductor export controls in an explicit attempt to slow Chinese AI development. Washington has also accused Chinese firms of "industrial-scale theft of AI capacities," often citing "distillation" techniques where outputs from larger models are used to train smaller, cheaper versions. Beijing has flatly rejected these accusations, emphasizing its own commitment to protecting intellectual property rights. For a deeper dive into the geopolitical implications of these tech laws, consider our analysis on tech laws and geopolitics.

Some experts view China's AI regulations as a signal of its pro-growth stance in the industry, aiming to coordinate stakeholders and accelerate technological progress. This "strategically lenient approach" in some areas, coupled with robust protection for core assets, could give Chinese AI firms a short-term competitive advantage. However, the emphasis on national security and social stability goals in China's AI governance, as compared to the EU's focus on values, highlights the divergent global approaches to regulating this transformative technology.

The new regulations also coincide with China formalizing a tougher framework for outbound-investment review, asserting jurisdiction over cross-border AI and technology transactions based on technological origin rather than corporate registration. This has already impacted deals, making it harder for Chinese-founded AI startups that have restructured offshore to avoid Chinese regulatory review when accepting foreign acquisition offers. Such moves further solidify the notion that China is actively working to shield its nascent and rapidly developing technologies.

Conclusion: A New Era for Digital Asset Protection

The implementation of China's New AI & Data Trade Secret Laws Take Effect on June 1, 2026, marks a pivotal moment in the global intellectual property landscape. By explicitly including data, algorithms, and other digital assets within the scope of trade secret protection and significantly enhancing enforcement mechanisms, China is signaling a clear intent to safeguard its technological advancements and foster fair competition in the digital economy. These comprehensive changes, including their extraterritorial reach, will necessitate a recalibration of compliance strategies for businesses worldwide, particularly those engaged in cross-border AI development and data-intensive operations. As nations navigate the complexities of technological innovation and strategic competition, China's updated framework sets a new benchmark for protecting the intangible assets that drive the future.

Frequently Asked Questions

Q: What are China's new AI & data trade secret laws?

A: These are updated "Regulations on the Protection of Trade Secrets" in China, effective June 1, 2026. They explicitly include digital assets like AI algorithms, data, and source code under trade secret protection.

Q: How do these new laws expand trade secret protection?

A: The laws broaden the definition of a trade secret to include "commercial value," not just "economic benefits," and mandate stricter confidentiality measures, significantly enhancing penalties for infringement.

Q: What are the global implications of China's new trade secret laws?

A: The laws assert extraterritorial jurisdiction, impacting international businesses and cross-border collaborations, and reflect China's intent to lead in AI governance and protect its technological advancements globally.

Further Reading & Resources

• China Amends Anti-Unfair Competition Law: Digital Economy & Long-Arm Jurisdiction
• China Adds Data and AI to Trade Secret Rules to Block Leaks
• Guide to protecting your Trade Secrets under China's new Regulations