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AI/ML in Security Orchestration, Automation and Response: Future Research Directions

Johnson Kinyua1, Lawrence Awuah2,*

1 College of Information Sciences and Technology, Pennsylvania State University, State College, PA 16801, USA
2 Department of Cybersecurity, University of Maryland Global Campus, Adelphi, MD 20783, USA

* Corresponding Author: Lawrence Awuah. Email: email

(This article belongs to the Special Issue: Humans and Cyber Security Behaviour)

Intelligent Automation & Soft Computing 2021, 28(2), 527-545. https://doi.org/10.32604/iasc.2021.016240

Abstract

Today’s cyber defense capabilities in many organizations consist of a diversity of tools, products, and solutions, which are very challenging for Security Operations Centre (SOC) teams to manage in current advanced and dynamic cyber threat environments. Security researchers and industry practitioners have proposed security orchestration, automation, and response (SOAR) solutions designed to integrate and automate the disparate security tasks, processes, and applications in response to security incidents to empower SOC teams. The next big step for cyber threat detection, mitigation, and prevention efforts is to leverage AI/ML in SOAR solutions. AI/ML will act as a force multiplier empowering SOC analysts even further. We conducted a detailed survey by studying work by both security researchers and industry practitioners on SOAR, including its interpretations, from an AI/ML perspective by reviewing works published in academic journals, conferences, websites, blogs, white papers, etc. (a multi-vocal view). We report on our findings and future research directions in this area.

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APA Style
Kinyua, J., Awuah, L. (2021). AI/ML in security orchestration, automation and response: future research directions. Intelligent Automation & Soft Computing, 28(2), 527-545. https://doi.org/10.32604/iasc.2021.016240
Vancouver Style
Kinyua J, Awuah L. AI/ML in security orchestration, automation and response: future research directions. Intell Automat Soft Comput . 2021;28(2):527-545 https://doi.org/10.32604/iasc.2021.016240
IEEE Style
J. Kinyua and L. Awuah, "AI/ML in Security Orchestration, Automation and Response: Future Research Directions," Intell. Automat. Soft Comput. , vol. 28, no. 2, pp. 527-545. 2021. https://doi.org/10.32604/iasc.2021.016240

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cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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