International Journal of Advanced Research in Computer and Communication Engineering

Abstract: As artificial intelligence (AI) has spread to most industries, cloud environments have emerged as the foundation for deploying and expanding smart applications. While the compatibility of AI and cloud computing brings their synergy closer to perfection, their matching raises new security threats in the form of adversarial attacks, data exfiltration, and expanding attack surfaces. This research discusses existing threats, analyzes AI-powered security systems, and identifies the expanding utilization of machine learning for threat detection and autonomous response. A comparative evaluation of legacy security and AI-based security strategies identifies that legacy systems deliver basic defense while AI contributes maximally to resilience, precision, and responsiveness. Future enhancements such as autonomous AI agents, quantum-resistant cryptography, and real-time sharing of threat intelligence are also discussed with the objective of framing next-generation secure AI- cloud infrastructure.

Keywords: Artificial Intelligence, Cloud Computing, Threat Detection, Adversarial Attacks, Quantum-resistant Cryptography.

Downloads: | DOI: 10.17148/IJARCCE.2025.14828