Cloud computing has become the foundation of modern digital infrastructure, enabling organizations to store data, run applications, and deliver services efficiently through remote servers. The widespread adoption of cloud services has significantly improved scalability, flexibility, and cost efficiency for businesses. However, the rapid growth of cloud environments has also increased security risks. Many organizations rely on multi-cloud or hybrid cloud architectures, which increases system complexity and expands the potential attack surface for cybercriminals.

At the same time, Artificial Intelligence (AI) is transforming the field of cybersecurity. Security teams use AI and machine learning to detect threats, identify unusual activities, and respond to attacks faster than traditional security systems. However, attackers are also leveraging AI technologies to automate hacking activities such as phishing attacks, password cracking, and credential theft ^[1]. As a result, the cybersecurity landscape has become more dynamic and complex.

The purpose of this study is to analyze the major technical threats present in cloud environments and examine the role of human behavior in cloud security incidents. The research adopts a descriptive methodology based on secondary data collected from cybersecurity reports, academic publications, and industry surveys. The findings indicate that most cloud security incidents occur due to misconfigurations, weak authentication mechanisms, stolen credentials, and lack of user awareness. Human error remains one of the most significant causes of data breaches in cloud systems ^[2].

The study concludes that effective cloud security requires a combination of advanced technical controls, AI-based threat detection systems, and responsible user practices. Organizations must strengthen identity protection, enforce security policies, and implement continuous monitoring to reduce risks in the modern AI-driven cloud environment.