The Future Of Cloud Security: Ai-Powered Threat Intelligence And Response

Abstract

Cyberattacks and advanced attack methods need firms to alter their threat detection and response systems. XDR, SIEM, SOAR, NDR, real-time monitoring, and network forensics are examples of contemporary technologies that are crucial for comprehending detection and response systems. Cloud-based enterprise data and apps have significantly improved security and threat detection. It is necessary to upgrade old security techniques in order to defend cloud networks against new threats. AI may increase threat response and identification speed and accuracy after it has grasped this barrier. This research illustrates how AI affects threat detection and cloud security. Effective, deployable security measures are required since cloud infrastructures and service providers are the targets of cyberattacks. In order to address this issue, this paper will go over how cloud security and AI operations work together to improve an organization's defenses, decrease security incidents, and speed up incident response times. For companies to adapt and effectively fight against the constantly shifting threat environment, it is imperative that they comprehend the relationship between cloud security and AI.