Cisco held the 2025 Technology Innovation AI Summit in Beijing to discuss AI technology achievements and application experiences with industry leaders. The level of cyber security readiness remains severe, with only 5% of Chinese enterprises reaching the level of maturity required to defend against threats. In the past year, 92% of Chinese enterprises surveyed have encountered AI-related security incidents, and enterprises still need to work hard to cope with the complex challenges posed by artificial intelligence. Cisco launched an AI strategy covering “infrastructure, AI security, data, AI native products and services”, with security as the cornerstone to help enterprises build an intelligent future. Amazon Cloud Technology Summit: In-depth interpretation of generative AI, click to register for advertising Amazon Cloud Technology Amazon Cloud Technology Summit: In-depth interpretation of generative AI, click to register May 23, 2025 – Today, the Cisco 2025 Technology Innovation AI Summit was officially held in Beijing. With the theme of “Leading the Future”, the summit brought together industry experts, well-known scholars, business leaders and technology innovators from around the world. Experts shared the latest AI technology achievements and leading industry experience at the event, and discussed in depth how AI technology can be applied in the fields of network optimization, data security, intelligent decision support and other fields. At the same time, with the accelerated evolution of AI technology, the cyber security landscape is undergoing profound changes, and risk challenges are escalating simultaneously. In order to help enterprises meet the challenges, Cisco officially released the 2025 “cyber security readiness index” report, the system presents the current situation of enterprises’ ability to deal with complex threats in the new era, and puts forward comprehensive strategic suggestions. Artificial intelligence technology innovation and industrial integration, Mr. Ren Xianliang, Secretary-General of the World Internet Conference, delivered a speech on the spot. For promoting the deep integration of artificial intelligence technology innovation and industry, he emphasized the need to adhere to people-oriented and bridge the intelligence gap. At the same time, it is necessary to adhere to openness and inclusiveness, and make artificial intelligence an inclusive engine for global development through computing power sharing, talent flow and localization innovation. In addition, enterprises should adhere to collaborative governance, promote international cooperation, and ensure that artificial intelligence is safe, reliable, and controllable, so that artificial intelligence can truly help global development. Cisco Science and Technology Innovation AI Summit was successfully held and released the 2025 “cyber security readiness index” Cisco Science and Technology Innovation AI Summit was successfully held and released the 2025 “cyber security readiness index” © Mr. Ren Xianliang, Secretary General of Zhongguancun Online World Internet Conference, delivered a speech on the spot to deal with the security challenges of the AI era, Cisco released AI strategy, as an international technology company, Cisco actively promotes artificial intelligence innovation, at this summit, Cisco launched “infrastructure, AI security, data, AI native products, services” five areas of AI strategy, aimed at security as the cornerstone, help enterprises build intelligent future. RIGOL oscilloscope trial satisfied with the purchase, rest assured advertising Puyuan Jingdian RIGOLRIGOL oscilloscope trial satisfied with the purchase, rest assured In terms of infrastructure, Cisco will use AI native high-density switching equipment, intelligent network management, high-performance optical modules and proven design architecture to create a faster, more flexible and more secure AI basic network for enterprises, and reshape data center operations to improve collaborative efficiency with AI loads. In terms of security, Cisco proposes the strategy of “AI defense AI”, integrating cyber security solutions covering the full AI technology stack to provide comprehensive protection from infrastructure to application layer. In terms of data, Cisco’s deep integration with the Splunk platform empowers customers to gain comprehensive insights into network, security, and business data, empowering enterprises to make forward-looking decisions and innovate. At the product level, Cisco has launched AI-native solutions with AI-driven self-healing capabilities, automation, and expert guidance, which significantly improve the efficiency of IT and security teams. In terms of services, Cisco and its ecosystem partners provide end-to-end services to enterprises to help enterprises select the right AI solutions, and support deployment, adoption, and implementation to ensure maximum business value. “As artificial intelligence reshapes the global industrial landscape, Cisco has always been committed to becoming a trusted technology partner for enterprises, helping customers calmly cope with the challenges of AI transformation. As a connector and guardian of the AI era, Cisco relies on decades of experience and technology leadership in the field of network and security to help customers calmly cope with the complex challenges of large-scale AI deployment.” Cisco Science and Technology Innovation AI Summit was successfully held and released the 2025 “cyber security readiness index” Cisco Science and Technology Innovation AI Summit was successfully held and released the 2025 “cyber security readiness index” © Zhongguancun Online Cisco Global Vice President and Greater China CEO Huang Zhiming shared Cisco’s artificial intelligence strategy Enterprise cyber security readiness AI brings new challenges, Cisco’s latest 2025 “cyber security readiness index” report shows that only 5% of Chinese enterprises have reached the “mature” readiness stage and can effectively deal with the current increasingly complex cyber security threats. This ratio is the same as last year, reflecting the low level of overall cyber security readiness in the context of high connectivity and new complexities that AI technologies continue to bring. The Cisco Technology Innovation AI Summit was successfully held, and the 2025 “cyber security readiness index” was released. The Cisco Technology Innovation AI Summit was successfully held, and the 2025 “cyber security readiness index” was released © Zhongguancun Online Cisco’s latest 2025 “cyber security readiness index” report shows that only 5% of Chinese enterprises have reached the “mature” readiness stage and can effectively deal with the current increasingly complex cyber security threats. The report points out that AI is revolutionizing the security field, while also exacerbating the threat level. Last year, 92% of Chinese companies surveyed experienced an AI-related security incident. However, only 48% of respondents said employees fully understand the threats posed by AI, and 45% believe their security teams truly understand how attackers can use AI to launch sophisticated attacks. This perception gap exposes companies to serious security exposure risks. AI is adding to an already complex cyber security threat landscape. 65% of Chinese companies have experienced a cyber attack in the past year, and complex and fragmented security architectures have further weakened their ability to respond. Looking to the future, 74 per cent of respondents see state-backed attack organisations and malicious hackers as more serious threats, compared with 26 per cent who are more concerned about internal risks. It also highlights the need for organisations to simplify their defence strategies and focus on external attacks. Jeetu Patel, global president and chief product officer at Cisco, said: “As AI deeply reshapes the enterprise, we are facing new and unprecedented types of risk, which is putting extreme pressure on infrastructure and its defenders. This year’s report once again reveals serious gaps in enterprise security readiness and a lack of response. Organisations must reassess their strategies now or lose competitiveness in the AI era.” The 2025 cyber security readiness index assesses enterprise cyber security readiness across five key dimensions: Identity Intelligence, Network Resilience, Machine Trustworthiness, Cloud Reinforcement, and AI Fortification, examining 31 corresponding enterprise solutions and special project capabilities. The report is a double-blind, independent, third-party survey of cyber security managers at more than 8,000 private companies in 30 markets around the world. They learn about the solutions they deploy and the special project capabilities they have, as well as the security deployment stage they are currently in, and then divide these companies into four levels of readiness that increase in turn: primary, formed, already advanced, and mature. The 2025 Cyber Security Readiness Index report provides a worrying insight into the readiness of Chinese companies for cyber security, with 83% of respondents expecting business disruption due to cyber security incidents in the next 12 to 24 months. In addition: AI’s role in cyber security is increasingly prominent: 94% of enterprises use AI to better understand threats, 91% for threat detection, and 78% for response and recovery, highlighting the core value of AI in strengthening security strategies. Increased risk of generative AI deployments: 49% of employees are already using approved third-party tools, yet 20% still have unrestricted access to publicly available generative AI, and 46% of IT teams are unaware of employee usage, exposing serious regulatory blind spots. The issue of shadow AI raises concerns: 52% of enterprises say they lack the ability to identify unauthorized deployments of AI (known as “shadow AI”), posing significant cyber security and data privacy risks. Facility Management gaps pose new vulnerabilities: In a hybrid office model, 91% of enterprises are at higher risk due to employees using unmanaged devices to access the network, and this problem is further exacerbated by the use of unauthorized generative AI tools. Investment priorities need to be refocused: while 95% of enterprises plan to upgrade their IT infrastructure, only 51% are spending more than 10% of their IT budget on cyber security, a 9% decrease from last year, highlighting how companies are still underinvesting in a comprehensive defense strategy in the context of increasing threats. Security system architecture is too complex: More than 87% of enterprises say that the deployment of more than 10 security products has resulted in a complex and bloated overall security architecture, which seriously affects the efficiency of threat response. Talent shortage hinders security construction: As many as 94% of respondents identify a shortage of cyber security talent as a major challenge, and 63% of enterprises have more than 10 job openings. Five core dimensions to comprehensively improve cyber security readiness The results of the 2025 Cyber Security Readiness Index are another wake-up call. Companies must act now to systematically build and strengthen defense systems from five core areas: Identity intelligence: Enterprises should develop a comprehensive identity security strategy to ensure complete identity visibility. It is recommended to implement the principle of “zero trust”, coupled with advanced authentication mechanisms such as passwordless login and multi-factor authentication, and complemented by AI-driven threat detection systems to strengthen protection against identity-related risks. Machine trustworthiness: Implement a zero-trust safety classifier to ensure that every user and device is rigorously verified before connecting to the network. This model is both the first and last line of defense, which can effectively ensure the trustworthiness of network access and protect against potential threats. Network resilience: Enterprises should move away from “work in progress” network deployment solutions, consider network resilience as a key priority in the AI era, and comprehensively improve the resilience of network architectures to cope with the higher performance requirements and system complexity brought about by AI technology. Cloud enhancement: Enterprises should transform their security strategies from fragmented protection to a unified and proactive cloud security architecture, and combine AI technology to improve risk identification and response capabilities to more effectively protect against potential security threats in cloud environments. Artificial intelligence enhancement: Enterprises must establish a robust AI security strategy, which not only guarantees the safe use of AI technology in the enterprise, but also protects the underlying model that supports the operation of AI. This security mechanism covering the whole process can ensure the integrity and credibility of the AI system.
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