AI Driven Zero Trust Security for Hybrid Clouds

Enterprises face a critical security challenge when they deploy hybrid cloud systems because these systems combine public cloud scalability with private cloud data control. Zero-trust security frameworks must be adopted because traditional perimeter-based security methods no longer work in hybrid cloud environments with their dynamic and decentralized nature. Every person’s system and device must prove their identity under the zero-trust model because no entity should receive unconditional trust regardless of its location. The hybrid cloud environment demands advanced security approaches because it handles massive amounts of data while facing complex modern cyber threats. This paper investigates the implementation of artificial intelligence (AI) systems to boost zero-trust security protection within hybrid cloud infrastructure. The research investigates present trends and upcoming directions to develop an extensive framework which uses artificial intelligence for zero-trust security protection of hybrid cloud systems against modern cyber threats. We analyze the advantages and obstacles and ethical aspects of implementing zero trust for AI together with its actual usage in hybrid cloud systems. The research provides a complete method to use artificial intelligence for improving Zero Trust security in hybrid cloud systems through analysis of present trends and future development possibilities. Such measures will establish an active intelligent and strong defense mechanism against present and future cyber threats.