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Usage of AI and machine learning in information security management in Italy in 2019

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Source

Release date

July 2020

Region

Italy

Survey time period

2019

Number of respondents

180*

Special properties

CISO, CSO, CIO, compliance managers, risk managers, DPOs

Method of interview

Face-to-face interview, online survey

Supplementary notes

*Respondents represent 180 large organizations (more than 249 staff).

Citation formats

Italy IT security use cases of AI and machine learning 2019

Published by
Christy Tila,
Feb 3, 2021
In a survey from Italy, most respondents (** percent) state that they use AI and machine learning for anomaly detection in information technology security. Anomaly detection is a key task for AI and machine learning as it helps to detect abnormal events or changes in datasets. Such abnormal instances are events that do not conform to an expected pattern and are usually undetectable by human experts. In this case, companies employ AI and machine learning to improve outlier analysis which serves to monitor the behaviour of systems and people to identify potential threats. The technology thus enables organizations to make faster and better-informed decisions in real-time.
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