Multi-Cloud Threat Hunting AI Agents

Authors

  • Prof. Linda Martinez Associate Professor of AI, University of the Republic, Montevideo, Uruguay Author

Keywords:

Threat hunting, reinforcement learning, AI agents, multi-cloud

Abstract

Multicloud influence cyber security, threat detection and mitigation. Dynamic cloud has assaults hurt rule or signature-based threat detection system. RL based intelligent AI agent thread detection for multi cloud. Reinforcement learning’s self-learning capabilities allow AI agent to anticipate and adapt to threats in real time across the cloud environment. This paper focuses on RL model’s scalability, multi cloud complexity, threat detection and decision making in real time.

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Published

14-01-2021

How to Cite

[1]
Prof. Linda Martinez, “Multi-Cloud Threat Hunting AI Agents ”, Los Angeles J Intell Syst Pattern Rec, vol. 1, pp. 1–6, Jan. 2021, Accessed: Mar. 07, 2026. [Online]. Available: https://lajispr.org/index.php/publication/article/view/1