DOI: https://doi.org/10.36719/2789-6919/57/258-263
Huseyn Aliyev
Azerbaijan Technical University
https://orcid.org/0009-0003-6658-5144
huseynali1119@gmail.com
An Artificial Intelligence-based Approach to Ensuring Information Security in Cloud Services and Implementing Cloud Security Frameworks
Abstract
Cloud infrastructures provide enterprises with strategic advantages such as dynamic resource management, network scaling and regulation according to requirements, and provisioning services in a short time. However, these environments also increase security risks because they have a more dynamic and multi-tenant structure, unlike traditional data centers. One of the main approaches to cloud security is the shared responsibility model. According to this model, the cloud provider provides security at the infrastructure level, while customers are responsible for protecting applications, identities (human and machine), configuration, and data in the cloud environment.
Modern security reports show that the majority of incidents in cloud environments are caused by configuration errors and weaknesses in identity management. For example, according to Google Cloud's Threat Horizons report, 47.2% of initial entry points for attacks are related to weak or missing credentials, and 30.3% are related to misconfiguration issues. These indicators indicate that identity and configuration management are key risk factors in cloud security and highlight the importance of organizations focusing their security strategies on these areas.
Keywords: cloud security, artificial intelligence, security frameworks, AWS, Microsoft Azure, Google Cloud Platform