Artificial Intelligence Is the Technical Guarantee of Network Security

Author(s):  
Ying Wu

2022 ◽  
pp. 83-112
Author(s):  
Myo Zarny ◽  
Meng Xu ◽  
Yi Sun

Network security policy automation enables enterprise security teams to keep pace with increasingly dynamic changes in on-premises and public/hybrid cloud environments. This chapter discusses the most common use cases for policy automation in the enterprise, and new automation methodologies to address them by taking the reader step-by-step through sample use cases. It also looks into how emerging automation solutions are using big data, artificial intelligence, and machine learning technologies to further accelerate network security policy automation and improve application and network security in the process.



2020 ◽  
Vol 44 (4) ◽  
Author(s):  
V. A. Savchenko ◽  
◽  
O. D. Shapovalenko

The article examines the key technologies of artificial intelligence in order to use them to ensure the protection of information. It is shown that currently there is no general concept of artificial intelligence in cybersecurity, the most important methods of artificial intelligence that can be used in cybersecurity are not defined, and the role that these methods can play to protect organizations in cyberspace has not been established. As a key idea for the use of artificial intelligence in cybersecurity, the use of technologies and methods that facilitate the detection and response to threats using cyber attack statistics sets has been proposed. Priority areas for the use of artificial intelligence are network security and data protection.







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