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Zhongqi Yilian talks about how to ensure the security of artificial intelligence training data

With the arrival of the data era, people are paying more and more attention to the field of computer science. Of course, we have also made our lives more intelligent and data-driven due to the development of computers. Gradually, people have come to appreciate the convenience brought by computer technology and continue to improve it. Artificial intelligence undoubtedly demonstrates humanity’s strong desire for control over natural sciences.

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In order to meet the increasing demands of people’s lives, it is hoped that artificial intelligence can effectively solve some problems in people’s lives and work. Artificial intelligence involves multiple disciplines such as psychology and linguistics. Through continuous correction, it can imitate the overall physical and mental state of people and thus achieve daily activities like humans.

However, there are some security risks associated with artificial intelligence. Because artificial intelligence requires a large amount of data for computation, this data needs to be transmitted through computer networks. During the process of information transmission and reading, information leakage is easy to occur. If this data falls into the hands of criminals, it will lead to serious consequences. You can imagine how terrifying it would be if hackers controlled robots to launch attacks remotely. But how can we avoid these problems?

This is where an intelligent firewall based on artificial intelligence comes in.

As everyone knows, a firewall can help computers isolate internal and external networks, and has functions such as intrusion detection, network address translation, and audit monitoring.

The application of artificial intelligence to firewalls is mainly to help computers establish a recognition system, which helps computers achieve data monitoring and improves the security factor of computers. Some current firewalls are mainly enterprise-level protection walls with limited data analysis capabilities. They can only intercept but cannot deeply screen data. The effective application of artificial intelligence in computer networks can provide people with an intrusion detection system. When our computers are infected with viruses, some antivirus software may not be able to achieve effective virus removal, leaving viruses behind. Artificial intelligence can help computers achieve deep virus removal and purify the application environment of computers.

An “Intelligent” Network System Management

Under the support of artificial intelligence, an intelligent database for computer networks can greatly improve the utilization rate of data. It can achieve the integration and classification of computer information. In later queries and use, it can directly implement technical data security and confidentiality control from the database, further strengthening the security and effectiveness of the database. It can resist damage caused by human or non-human factors in a timely and effective manner, such as improving password settings and cracking methods, increasing the difficulty of password cracking.

Zhongqi Yilian supports various scenarios and types of data collection needs, covering full-dimensional data such as images, text, voice, and video. Zhongqi Yilian has professional data collection equipment, rich experience in data collection projects, and experience in data quality control. During the data collection process, Zhongqi Yilian strictly abides by relevant regulations on personal privacy data protection under GDPR, and has passed ISO9001 quality management system certification and ISO27001 information security management system certification to fully guarantee data security.

Artificial intelligence is ultimately for the service of people. After nearly two years of efforts, China’s artificial intelligence technology industry is about to enter a golden development period. Our government and industry need to make further efforts in cultivating data ecological advantages, promoting new infrastructure construction, accelerating open application scenarios, and improving talent training models to achieve the great development of China’s artificial intelligence technology industry.


Post time: Oct-19-2023
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