ENHANCING CLOUD SECURITY WITH GENERATIVE AI: EMERGING STRATEGIES AND APPLICATIONS
Keywords:
Generative AI, Cloud Security, Anomaly Detection, Threat Intelligence, Automated ResponseAbstract
This article explores the potential of generative AI for enhancing cloud security. With the rapid adoption of cloud technologies and the increasing sophistication of cyber threats, traditional security measures often struggle to keep pace. Generative AI, with its ability to learn from vast amounts of data and generate intelligent outputs, presents a powerful tool to address these challenges. The article delves into the fundamentals of generative AI and its specific applications in cloud security, including anomaly detection, threat intelligence, and automated response mechanisms. It also discusses the challenges and future directions in this field, highlighting the need for large and diverse datasets, addressing adversarial attacks, improving model interpretability, and considering the ethical implications of using generative AI in cloud security.
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