Cloud platforms have become prime targets for ransomware and malware attacks, which can paralyze businesses by encrypting data or exfiltrating sensitive information. Traditional security tools such as signature-based antivirus and rule-based systems often struggle to detect advanced threats that mutate or exploit unknown vulnerabilities. Organizations are increasingly turning to artificial intelligence (AI) and machine learning (ML) techniques to bolster cloud defenses. These models can analyze massive volumes of cloud logs and network traffic, spot subtle anomalies, and detect known malware and zero-day attacks in real time.
This article reviews the leading AI models for cloud malware detection, outlines technical challenges, and explores cutting-edge innovations shaping AI-powered cybersecurity’s future.
