Cloud computing environments are increasingly complex and distributed, making them fertile ground for advanced cyber threats. Traditional centralized security models often fail to meet the agility, scalability, and resilience requirements of modern infrastructure. This literature review explores how Multi-Agent Systems (MAS) have been used as a distributed and intelligent approach to enhancing cloud security. Through thematic analysis of recent academic work, including architectures, AI techniques, and real-world deployments, this paper highlights current trends, strengths, limitations, and future directions of MAS in cybersecurity. It also offers personal insights from the authors, reflecting on the evolving landscape of cloud security and the role of intelligent systems in shaping it.

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Securing the Cloud with AI: How Multi-agent Systems Detect and Prevent Cyber Threats

  • Anisa Gjini,
  • Genti Daci,
  • Marin Aranitasi

摘要

Cloud computing environments are increasingly complex and distributed, making them fertile ground for advanced cyber threats. Traditional centralized security models often fail to meet the agility, scalability, and resilience requirements of modern infrastructure. This literature review explores how Multi-Agent Systems (MAS) have been used as a distributed and intelligent approach to enhancing cloud security. Through thematic analysis of recent academic work, including architectures, AI techniques, and real-world deployments, this paper highlights current trends, strengths, limitations, and future directions of MAS in cybersecurity. It also offers personal insights from the authors, reflecting on the evolving landscape of cloud security and the role of intelligent systems in shaping it.