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Title |
A Review of Cybersecurity Challenges in the Post-Pandemic World |
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Author |
Adeyemi Afolayan Adesola, Awele Mary-Rose Ilusanmi |
| Citation |
Vol. 26 No. 1 pp. 112-118 |
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Abstract |
COVID-19 not only impacted the overall digital environment, but also forced companies around the world to adapt rapidly to new working models, cloud service, and digital transformation. To defend against these emerging threats and improve threat identification, event management, and organizational security, this paper will look at the several ways artificial intelligence (AI) is being incorporated into cybersecurity solutions. Artificial Intelligence introducing intelligent algorithms that analyze patterns and detect threat patterns in real time. The review highlight AI can adapt dynamically to curbing existing risks, perform effective optimization of repetitive tasks, analyze polymorphic virus and help in minimizing burden on a cybersecurity team who can focus on decision making and risk prevention. This study further shows how the application of AI can fill still existing cybersecurity workforce deficiency and improve security in various spaces ranging from working from home environments to cloud environments. This review also highlights the impact of post pandemic vulnerabilities such as expanded attack surface, increased dependency on cloud-based services, weak encryption and social engineering attacks. |
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Keywords |
Polymorphic virus, post pandemic vulnerabilities, Social engineering, Artificial intelligence |
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