Zero Trust Security Implementation in Cloud Infrastructure Using AI-Powered Access Control and Behavioral Analytics
Keywords:
Zero Trust Security, AI-powered Access Control, Behavioral Analytics, Cloud Security, Cyber Threats, Identity ManagementAbstract
The rapid adoption of cloud computing has increased the complexity of securing digital infrastructures. Traditional security models are proving inadequate against advanced cyber threats, necessitating a shift toward Zero Trust Architecture (ZTA). This research explores the implementation of AI-powered access control and behavioral analytics in cloud infrastructure to enhance security. By continuously authenticating users, analyzing behavior patterns, and enforcing dynamic access controls, AI-driven Zero Trust models reduce unauthorized access and prevent security breaches. The study reviews recent literature on AI-enhanced Zero Trust strategies and evaluates their impact on cloud security. The findings suggest that integrating AI-powered behavioral analytics significantly strengthens threat detection and mitigates insider risks. Future research should focus on optimizing AI models to enhance adaptability in dynamic cloud environments.
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