VGU RESEARCH REPOSITORY
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https://epub.vgu.edu.vn/handle/dlibvgu/2002| Title: | Enhancing cybersecurity with artificial intelligence and machine learning techniques in organizations | Authors: | Nguyen Thanh Van | Keywords: | Cybersecurity;Machine learning (ML);Artificial intelligence;Security risks;Email spam detection | Issue Date: | 2024 | Abstract: | Enhancing 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. |
URI(1): | https://epub.vgu.edu.vn/handle/dlibvgu/2002 | Rights: | Attribution-NonCommercial 4.0 International |
| Appears in Collections: | Business Information Systems (BIS) |
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| File | Description | Size | Format | Existing users please Login |
|---|---|---|---|---|
| Enhancing cybersecurity with artificial intelligence and machine learning techniques in organizations.pdf | 2.57 MB | Adobe PDF |
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