Blockchain and Generative AI for Cloud Security: Ensuring Integrity and Transparency in Cloud Transactions
Rahul Vadisetty, Anand Polamarasetti, Aashna, Sateesh Kumar Rongali, Sameer kumar Prajapati, Jinal Bhanubhai Butani · 2025
Cloud computing revolutionized processing and storing data, but security, including integrity and transparency in transactions, remains a concern. In this work, a combination of blockchain and generative$A I$is proposed and discussed as a dual remedy for cloud security improvement. Blockchain technology provides transparent, decentralized, and tamperevident bookkeeping for integrity assurance in transactions and anti-tampering. Generative AI, in contrast, fortifies security through real-time anomalous behavior analysis, security testing through generating tests, and predictive analysis for impending peril. This work discusses a proposed integration model, comparing security with and without integration of blockchain and AI. Experimental evaluations exhibit increased danger detection, transaction integrity, and cloud environment robustness. Scalability, ethics, and future work in developing these tools and techniques are discussed in the work. According to the work, integrating AI and blockchain creates a robust, secure, and transparent cloud computing model.