The Moderation Effect of Artificial Intelligent Hackers on the Relationship between Cyber Security Conducts and the Sustainability of Software Protection: A Comprehensive Review

Authors

  • Fanar Shwedeh
  • Sawsan Malaka
  • Bushra Rwashdeh

DOI:

https://doi.org/10.59670/ml.v20iS9.4947

Abstract

Artificial Intelligence vs. Human Expertise in cybersecurity is a big challenge, as human experts play a critical role in fending off threats generated by AI. AI-driven technologies in conjunction with human analysts can provide a more thorough defending plans against complex attacks. This article examines how AI hackers impact the relationship between organization's cyber security conducts and the sustainability of software protection in these organizations. 50 interviews and open-end surveys were distributed to cybersecurity specialists in Dubai, United Arab Emirates (U.A.E.). The findings of the statistics show different observations. A moderation effect of artificial intelligence hackers is appearing to have a positive moderating influence on the relationship of cybersecurity conducts and sustainability of software protection. A negative moderation on the other hand is found where AI hackers may find ways to exploit security flaws and continuously adapt in order to negatively moderate the relationship. This might weaken software protection's sustainability and make it harder to keep up with new threats. As a significance of this study, it is strongly recommended to implement robotics monitoring mechanisms and develop security lifecycles which are found to be crucial. Organizations need to spend more money on cutting-edge cyber security procedures and improving the long-term viability of their software protection.

Metrics

Metrics Loading ...

Downloads

Published

2023-11-12

How to Cite

Fanar Shwedeh, Sawsan Malaka, & Bushra Rwashdeh. (2023). The Moderation Effect of Artificial Intelligent Hackers on the Relationship between Cyber Security Conducts and the Sustainability of Software Protection: A Comprehensive Review . Migration Letters, 20(S9), 1066–1072. https://doi.org/10.59670/ml.v20iS9.4947

Issue

Section

Articles