AI-DRIVEN VULNERABILITY MANAGEMENT: STRENGTHENING CLOUD SECURITY POSTURE

Abstract

In the age of digital transformation, cloud adoption has come to be associated with scalability and agility in business. But this change has also brought in a fresh set of security risks, calling for cutting-edge defenses. Emerging as a ray of hope, artificial intelligence (AI) offers automated, predictive, and adaptive security solutions. With the increase in cyberattacks, cloud security is more important than ever. AI can significantly enhance cloud security. This study explores the effects of AI, emphasizing how it can manage vulnerabilities more skillfully, detect attacks more quickly, and automate incident response in cloud systems. This study examines several artificial intelligence (AI) methods used in cloud security, such as vulnerability management, machine learning, and network intrusion detection. We also discussed the difficulties in implementing AI, including problems with data quality, integration, and the requirement for qualified staff.