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AI and cybersecurity, business protection in an interconnected world: systematic literature review

Author

Listed:
  • Iris María Cantillo Velásquez
  • Jhon Wolfgang Echeverry David
  • Yerlis Patricia Martínez Taborda
  • Rubén Santiago Ramírez Piraquive

Abstract

In an increasingly interconnected world, cyber threats are constantly evolving, with malicious actors developing sophisticated methods to attack enterprise systems. Traditional cybersecurity methods, such as firewalls and antivirus software, are insufficient to protect organizations from these advanced threats. A more proactive approach is needed to identify and stop threats before they cause significant damage. This research seeks to understand the current state of artificial intelligence (AI) in enterprise cybersecurity, identify best practices and methodologies for implementing effective AI solutions. To do this, the authors were based on a systematic review of the literature, adopting AI, cybersecurity, business protection and threats as fundamental categories. The search was mainly based on databases and search engines such as Scopus, Science Direct and Redalyc. The processed information was graphed through the VOSviewer software and the Lens.org platform. The usefulness and applications of AI for cybersecurity were evident. This entails the challenge of constantly updating cyber tools in order to achieve greater protection and security for users

Suggested Citation

Handle: RePEc:dbk:manage:v:3:y:2025:i::p:116:id:1062486agma2025116
DOI: 10.62486/agma2025116
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