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The Impact of AI on Cybersecurity

Abstract:

One of the many interesting applications of Artificial Intelligence to better the lives of people is using it as a tool in ensuring cybersecurity. In this article, Segal discusses the current technological challenges that countries face: these include threats from far away geographical distances, the ability for hackers to hide their identity and stay anonymous, and the difficulty of predicting threats before they appear. All of these mean that breaches are harder to detect and therefore organizations will incur more losses if they are breached – a study from Norton shows that “the global cost of typical data breach recovery is $3.86 million … and companies need 196 days on average to recover from any data breach”.

This is where the technological advancements in AI come in. Some of the examples mentioned in the article are threat hunting with behavioral analysis (to develop accurate profiles within a network), optimizing processes of data centers, and using AI to handle the time-intensive aspects of network security like determining a topography/“functional grouping”. While there are a few drawbacks, like the need for large datasets, AI can boost the abilities of the traditional techniques used to protect against cyber breaches and attacks.

Author:
Eddie Segal
Year:
2020
Domain: ,
Dimension:
Region:
Data Type: , ,
Keywords: , , ,
MIT Political Science
MIT Political Science
ECIR
GSS