Automating cybersecurity with AI/ML: Defending against advanced threats
Independent Researcher, USA.
Research Article
World Journal of Advanced Research and Reviews, 2020, 06(03), 297-308
Publication history:
Received on 20 May 2020; revised on 20 June 2020; accepted on 26 June 2020
Abstract:
In the dynamic environment of the current threat constantly pertaining and looming, simple containment strategies cannot stand up to the challenges. In this paper, the subjects of focus are the application of AI and ML in automating the cybersecurity procedures intended for identifying, managing, and preventing advanced cyber threats. The strengths and limitations of applying automated systems are presented through a sample of current AI/ML techniques, and their use cases are included in the research. Comparing the results of using AI/ML-based solutions with traditional approaches, the approach and experience in using these tools are considered and the possible prospects for their application. The results indicate that AI and ML enhance cybersecurity effectiveness, but data quality, algorithm interpretability, and adversarial manipulation must be remedied.
Keywords:
AI Automation; Cyber Threats; Machine Learning; Threat Detection; Predictive Analytics; Data Security
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Copyright information:
Copyright © 2020 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0