Artificial Intelligence and Cloud Security

Artificial intelligence is a program that can think and solve problems independently, machine learning is the part of artificial intelligence that uses algorithms to learn from multiple units of data, although it is not 100% safe, artificial intelligence and machine learning can be used toDetect threats in real time.

The focus of AI is detection, but the complete system must also address the response to perceived threats. The basic system can detect attacks, and unknown problems have unknown responses.Humans have to deal with these suspicious transactions, and can then provide feedback to strengthen the system, and depending on the complexity of creating the system, these new rules can be incorporated into new networks or added to the ruleset.

At present, the security requirements of the cloud computing environment mainly come from two aspects, one is the actual business security requirements; the other is the compliance requirements, especially the private cloud for compliance, visibility, sensitive data distributionand other issues are clearly required.

Since the epidemic, the trend of domestic enterprises to migrate to the cloud has increased significantly, especially the demand for SMEs to migrate to the cloud is very significant. In order to cope with the complex and changeable market environment, cloud services have become a must for enterprise business transformation and promote the informatization of the whole industry., digital development, and strong cloud demand have brought new challenges and opportunities to the cloud security market.

my country is very rich in enterprise types, for example, there are many types of industries in the industrial field. Therefore, cloud service providers have very different business requirements and security requirements in different scenarios facing end users.For cloud security in different industries, the protection of data, equipment, and business systems has its own requirements, which requires cloud security providers to have corresponding scenario-based solutions to adapt to different security requirements.

Starting from the essence of cloud security, it is to protect the security of business running on the cloud, and business itself is data, so the implementation of the "Data Security Law" will have an important impact on the development of cloud security.The relevant requirements in the Security Law will also be further integrated into the scope of cloud security.

In addition, from the perspective of supervision, there are obviously some differences between China's laws and regulations in the field of security and foreign laws. For example, the EU's GDPR and China's "Data Security Law" have their own focus, which causesWhen building a cloud architecture, they will also take their own technical means.

In other words, the differences in regulations and architecture of cloud services, and whether they can be protected and managed through a unified security platform in the future will also be a key issue for cloud security.

At present, cloud computing and artificial intelligence are growing in parallel. The complexity of cloud is driving the demand for artificial intelligence, but the complexity of artificial intelligence is also creating a better working efficiency, transparency and control in the cloud environment.demand.