Data security is an essential part of network security. Data storage, use, and transmission can easily lead to information leakage and other problems without adequate security protection. With the development of big data, China pays more attention to the data security industry. This paper focuses on the main business of typical China internet companies under big data background. This paper analyzes the data security risks in these businesses and gives some measures to deal with the risks.

The application of artificial intelligence of things (AIoT) is becoming increasingly widespread. With its rapid development, it has raised many complex network security issues. These have brought crushing security threats and risks to all stakeholders. AIoT cloud platform in the smart home plays a vital role in the security management of devices and is the current research hotspot. This paper discusses the security of the AIoT cloud platform, represented by the smart home. The indicator system describing the protection of the smart home cloud platform is proposed, and the security risk evaluation method of the cloud service is formed. Based on the evaluation method, a lightweight security evaluation framework for smart home cloud service is designed to evaluate the typical cloud platform’s security. The evaluation identifies some technical and administrative issues. Finally, to improve the security of the cloud console of AIoT and discover potential security risks in time, a security self-test model of the scalable cloud console is proposed.