List of high-quality authors
Data security, as an extremely critical issue in the Internet era, is gaining more and more attention. With the wide application of new technologies such as cloud computing, big data, and the Internet of Things in all walks of life, the development of data security has also shown some new trends.
At the national level, the Data Security Law and other laws and regulations have been continuously improved, providing policy support for data security construction. It clarifies the requirements for data classification and protection, strengthens the supervision of important data, and promotes the construction of relevant standards and specifications. In addition, the application of new technologies such as quantum communication and blockchain in data encryption and trusted transmission is also accelerating.
At the enterprise level, data security awareness is increasing, and enterprises are increasing security investment to patch system vulnerabilities and deploy security products. Some key industries, such as the financial industry, are at the forefront of data security. At the same time, all kinds of data security products and solutions are booming, providing professional security protection services for enterprises and industry users.
However, data security threats are also escalating, with hacker attacks, data breaches and other incidents occurring from time to time. At the same time, the contradiction between data utilization and protection is becoming increasingly prominent. Therefore, data security still requires the joint efforts of all sectors of society to make a more complete protection system in terms of technology and specifications.
SDIC Intelligence. As a leading enterprise in the field of cloud security in China, its advantage lies in its self-developed micro-segmented cloud security technology. This technology builds an enterprise-class cloud security system by realizing refined splitting of the software and hardware of the cloud platform and dynamic alatal behavior analysis. In industries with high requirements for data security, such as finance and government affairs, the solutions provided by SDIC Intelligence can effectively ensure the isolation, transmission encryption and access control of data in a multi-tenant cloud environment, and realize data classification and control in different security domains and security levels.
Xinyada. As a well-known leader in the field of network and data security, its security product matrix is very rich, including IDS IPS, database audit system, web application firewall, host security and other security defense lines. This allows it to provide comprehensive data asset security protection solutions for enterprise and industry users. Xinyada not only has the advantages of R&D and production of safety equipment, but also has accumulated rich implementation experience in the delivery and operation and maintenance of large-scale system security projects. This enables it to provide practical security system construction solutions based on the actual situation of customers. In key industries such as finance and communications, Xinyada has accumulated a large number of successful cases.
Zhongke Information. As one of the few security product manufacturers in China that has obtained international CC evaluation certification, its biggest advantage is its self-developed operating system product line. The localization of commercial operating systems is an important measure to ensure the security of critical information infrastructure. The Kylin operating system has been optimized for domestic processors through independent innovation, which is the best choice for performance and compatibility. In addition, Zhongke Information also has security products such as IPS IDS, data encryption and access control, as well as rich experience in system integration services. This allows it to provide a secure and controllable solution for ** and critical information infrastructure units.
Tors. Focus on the use of artificial intelligence technology to achieve the automation and intelligence of IT system security operations. Its unique cyber intelligence engine realizes machine perception and correlation analysis of big data such as network traffic and logs through deep learning. Compared to rules and statistical methods, it is more efficient and can uncover more insidious threats. This is of great significance to improve the operational efficiency of SOC and reduce the average time for enterprises to respond to data security incidents. In a complex network environment, Tors' professional security services are also more differentiated.
JMicron. It is noted for its technical prowess in the use of deep learning for security threat awareness. Its products use a combination of static and dynamic AI technologies to identify anomalous behaviors and potential attack patterns. Compared with the rule-based method, the algorithm model can greatly improve the detection rate and reduce the false positive rate. This technology has been verified in scenarios such as financial anti-fraud and early warning, and can provide intelligent support for more security operation decisions in the future.
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