International Journal of Science, Engineering and TechnologyAuthors: Sai Raghu Ram Gummadidala
Abstract: The use of hybrid cloud infrastructure, zero-trust architecture, and distributed enterprise network has brought significant benefits in terms of agility and scalability of business organizations. Nevertheless, the implementation of these architectures poses numerous cybersecurity threats due to credential inconsistency, identity drift, and IAM-policy mismatch. In modern hybrid architectures, the risk of asynchronous IAM-policy updates, distributed identity management, privilege propagation delay, and inconsistent access control synchronization is exploited by cyberattackers. Currently available solutions to security problems focus on authentication improvement and adaptive access control and fail to address the problem of identifying and preventing the credential drift in interconnected IT infrastructures. The current study evaluates risks related to identity and credential drift in hybrid zero-trust security architectures and aims at developing an intelligent adaptive solution to the synchronization of IAM-policy and network configuration. The above model combines several strategies including trust assessment, automation of policy validation, correlation of identities, as well as continuous monitoring, among others. In addition, the above model will help enhance policy orchestration and access control mechanisms in the distributed cloud edge-based environments. From experimental studies carried out, it can be deduced that the model will help increase policy consistency, decrease threats from unauthorized accesses, limit credential anomaly, and improve threat detection efficiency, among others. As such, the research results provide valuable information for designing more robust identity-centric cybersecurity systems in the future.
DOI: http://doi.org/10.5281/zenodo.20304952
