Summary of Key Points
While AI is driving economic development, it also complicates cybersecurity risks. The 2026 Global Digital Economy Conference focused on the theme "In the Age of AI, Defense Comes First." Experts pointed out that AI attacks have become more intelligent, efficient, and widespread. China is building an intelligent security system from three aspects: legislation, technology, and ecosystem development. At the same time, the cybersecurity industry is poised to experience significant growth, with Beijing and other regions taking the lead in investing in digital security initiatives.
Three "Intensified" Characteristics of Cyberattacks in the AI Era
AI has made hacker attacks more difficult to defend against, with three main changes:
1. More sophisticated attacks: Hackers no longer rely on fixed code; they use AI to automatically identify vulnerabilities and even mimic human behavior to bypass defenses (e.g., AI-generated phishing emails that are highly convincing).
2. Exponential attack speed: AI can scan thousands of systems in minutes to find weaknesses, speeding up the attack process dramatically and compressing the defense time.
3. Expanded attack scope: Attacks have expanded from traditional computers and smartphones to industrial equipment, smart vehicles, and financial systems—anywhere AI is used is a potential target. In short, AI has transformed hacking from a manual process into an intelligent, automated one, significantly increasing the difficulty of defense.
Three Approaches for Countries to Build AI Security Systems
To address these new threats, China is establishing a comprehensive security framework, focusing on three main areas:
1. Laying the legal foundation: Enacting regulations (e.g., laws related to AI security) to clarify what types of AI activities are allowed and setting boundaries for businesses and users.
2. Enhancing technical capabilities: Using AI to counter AI attacks—developing systems that can automatically detect and respond to AI-based threats.
3. Collaboration among stakeholders: AI companies, security firms, and universities must work together throughout the entire AI lifecycle, from research and development to ongoing maintenance (e.g., identifying vulnerabilities during model training and monitoring in real-time). This framework covers the entire life cycle of AI, essentially equipping it with a "bulletproof" layer of protection.
Four Practical Strategies for Mitigating AI Security Risks
Experts recommend a proactive approach that combines "active defense" with technological upgrades:
1. Understanding threats: Proactively research potential risks associated with AI (e.g., what to do if an AI model is compromised) and develop contingency plans.
2. Integrating AI into defenses: Use AI to analyze network traffic and quickly detect unusual activities; also, create AI-driven decision-making systems that can automatically respond to attacks.
3. Addressing model vulnerabilities: Collaborate with security companies to identify and fix flaws in AI models (e.g., simulate attacks during training to make them more resilient).
4. Strengthening capabilities: Support research on AI security technologies by universities and enterprises (e.g., implementing safeguards to prevent AI from being misused) to enhance its resilience in complex environments.
The Billion-Dollar Opportunity for the Cybersecurity Industry
AI presents a huge opportunity for the cybersecurity industry:
- Growing market: The industry is expected to grow significantly, with potential growth in the hundreds of billions of yuan, as both governments and enterprises need to upgrade their security systems.
- Benefiting traditional players: Existing security companies can capitalize on this by integrating AI into their products.
- Clear defense priorities: Governments and enterprises are focusing on building multi-layered defenses, making it harder for attackers to penetrate. This shift represents a significant boost for the cybersecurity industry.
How Other Regions Can Follow Beijing's Lead
Beijing has already taken the lead in developing its digital security ecosystem:
- National leadership: The scale of Beijing's digital security industry exceeds one hundred billion yuan, and it is a major hub for technological innovation.
- Pioneering efforts: Beijing has been at the forefront of AI model evaluation and security governance initiatives.
- Future goals: By 2030, Beijing aims to become a global benchmark for the digital economy, continuing to advance core technologies and foster a secure ecosystem. Other regions may follow Beijing's example by increasing investment in digital security.
Conclusion
In the AI era, cybersecurity is not about waiting passively for threats but about engaging in an ongoing race between offense and defense. Countries are building systems, companies are upgrading their technologies, and industries are expanding. The ultimate goal is to ensure that AI drives economic growth while minimizing security risks. For individuals, this means using AI-based products with greater confidence in the future.