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Please use this identifier to cite or link to this item: https://epub.vgu.edu.vn/handle/dlibvgu/2002
DC FieldValueLanguage
dc.contributor.authorNguyen Thanh Vanen_US
dc.date.accessioned2025-03-26T07:14:26Z-
dc.date.available2025-03-26T07:14:26Z-
dc.date.issued2024-
dc.identifier.urihttps://epub.vgu.edu.vn/handle/dlibvgu/2002-
dc.description.abstractEnhancing cybersecurity with Artificial intelligence and Machine learning techniques within organizations is a critical and rapidly developing field. With the proliferation of digital technologies and the increasing sophistication of cyber threats, organizations must constantly adjust their strategies to adapt to the trend. Leveraging AI and ML technologies can help businesses for the detection, prevention, and response to cyber threats by automating and optimizing security processes, determining anomalous behavior and interpreting huge amounts of data. There are several AI and ML methods that can enhance cybersecurity in organizations. One approach is to use these technologies to identify and analyze patterns of cyber threats, enabling organizations to mitigate and specify risks before they can cause damage proactively. Another approach is to use AI and ML to automate security processes, such as patch management and vulnerability scanning, reducing the risk of human error and freeing up security professionals to focus on higher-level tasks.en_US
dc.language.isoenen_US
dc.rightsAttribution-NonCommercial 4.0 International*
dc.rights.urihttps://creativecommons.org/licenses/by-nc/4.0/*
dc.subjectCybersecurityen_US
dc.subjectMachine learning (ML)en_US
dc.subjectArtificial intelligenceen_US
dc.subjectSecurity risksen_US
dc.subjectEmail spam detectionen_US
dc.titleEnhancing cybersecurity with artificial intelligence and machine learning techniques in organizationsen_US
dc.typeThesisen_US
item.fulltextWith Fulltext-
item.languageiso639-1other-
item.grantfulltextrestricted-
Appears in Collections:Business Information Systems (BIS)
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