AI Driven SOC Automation and Governance in Hybrid Cloud Environments

Abstract

Hybrid cloud architectures have changed the manner in which organizations run their IT infrastructures, offering flexibility and scalability, as well as the introduction of response to new security threats. The character of security management in on-premises and privately and publicly clouded infrastructure has made the security management process more complex, and conventional Security Operations Centers (SOCs) are less efficient. This paper explains the potential application of AI-based automation in a hybrid cloud to convert SOCs. Organizations can use AI technologies to avert the rising number of security alerts, minimize the pace and complexity of security alerts, decrease investigations time by 45%, improve detection accuracy, and raise compliance levels. Also, AI results in better governance being more automated and therefore making it effective in compliance checks and reporting, which reduces violations and contributes to a more efficient process. However, along with the advantages, there are some challenges such as data quality problems, lack of visibility and weak governance systems. This paper presents a case concerning the necessity to combine AI-based automation with strong systems of governance that would allow making the work of SOC in the context of hybrid clouds efficient and secure. It also gives some useful recommendations to SOC leadership, cloud operations and governance teams, and argues that this requires things to persistently change as hybrid cloud and AI technologies are increasingly becoming marketable.