Cloud platforms face increasing ransomware and malware threats, leading to a shift towards AI and ML for advanced detection. Supervised models excel at known threats, while unsupervised methods detect novel attacks but generate more false positives. Deep learning is great for complex patterns but lacks interpretability. Reinforcement learning offers adaptive responses but requires careful management. Challenges include false positives, adversarial attacks, privacy, and concept drift. Innovations like Explainable AI, Federated Learning, Hybrid Models, and Edge AI are crucial for enhancing cloud security with AI-powered detection systems.
