AI big data escorts network security

Cybersecurity is still one of the hottest words of the past. The network is not omnipotent. It is convenient, but we are always at risk. The cyber fraud incident is already emerging, so how can we solve it?

IOT China News October 9 news, whether it is now or in the future, network security will face a severe test. With the application of artificial intelligence to various vertical areas, the new challenges facing network security have also brought important opportunities for the development of artificial intelligence.

In 2016, the number of Internet users reached 3.5 billion, accounting for about half of the world's total population. By 2020, the number of terminal devices connected to the Internet is expected to reach 12 billion. With the widespread use of smart devices, the massively popular Internet of Things will certainly provide a large number of new opportunities for attackers, and the boundaries between work and life will become increasingly blurred. A networked device, as long as it is compromised, from financial information such as banks to health, etc. Personal information may be completely leaked. In the connected era, as long as one device is captured, other devices may be instantly disintegrated.

Of course, in the field of network security, the identification of threats is not a one-step process, but a process of gradual development. With the development of the mobile Internet, a large number of devices generate a variety of logs, so there has been considerable development in log management and analysis. Machine learning is used for network security. In many scenarios, the prediction accuracy does not reach the false positive standard of 0.000001. From this perspective, artificial intelligence is only an aid, but also needs to be combined with traditional means. However, the use of artificial intelligence for network security has the additional advantage of improving analysis efficiency. The typical role of artificial intelligence is to replace humans with a lot of repetitive labor, such as using artificial intelligence to analyze image images, and liberating video doctors from inefficient and repetitive labor.

The data shows that China's current total demand for cyber security talents exceeds 700,000, and the number of talents added each year is only 20,000 to 30,000, and the gap is as high as 95%. Moreover, the vulnerability that an analyst can analyze every day is very limited. Artificial intelligence requires cybersecurity to limit its boundaries and implement a protective development. When artificial intelligence develops into a super stage and confronts humans, it also needs to limit artificial intelligence from the perspective of network security technology. For example, in 2016, the sci-fi series "Western World" released by HBO portrayed the autonomy of artificial intelligence, and there was a scene of artificial intelligence against humans.

In fact, there are not many companies that focus on the field of artificial intelligence and apply unsupervised learning algorithm technology. The reason is that the algorithm has certain technical barriers. It needs to understand the theoretical knowledge and basic algorithms of the artificial intelligence frontier. At the same time, it is necessary to combine certain scenarios. To develop cross-industry products and solutions, you need to understand the real needs of the enterprise; and need to maintain technical sensitivity, and combine with the industry's big data, security, open source platforms and technologies to understand the platform characteristics of the enterprise and the user's usage habits. Wait. Professionals say that in order to solve the problem of online fraud, we must focus on artificial intelligence, gain a deep understanding of the theoretical knowledge and basic algorithms of artificial intelligence frontiers, and develop cross-industry products and solutions. With DataVisor's in-depth application of internationally leading unsupervised learning algorithms, it is bound to increase the level of anti-fraud in China's industry-wide online.

Artificial intelligence provides new ideas for network security, and complex network environments continue to push for technological innovation. Research firm Gartner predicts that by 2018, there will be 6 billion devices in the world using artificial intelligence technology, and with big data Application, artificial intelligence gradually entered thousands of households and showed huge market space.