Abstract
Traditional cloud computing security relies on static infrastructure configurations. Such configurations are vulnerable to various threats. This disclosure describes polymorphic cloud computing techniques that leverage generative artificial intelligence to counter security threats by continually and intelligently modifying the underlying infrastructure of cloud workloads. By dynamically altering configurations, resource names, deployment parameters, and/or other infrastructural elements, a constantly shifting landscape is created that significantly hinders the ability of an adversary to maintain persistent access or predict the layout of the environment. The techniques substantially reduce the value of reconnaissance to an attacker, making a successful attack more difficult. The techniques enhance the security of cloud-based workloads, in particular sensitive workloads, reduce the risk of data breaches, and strengthen the cloud security posture of organizations. The techniques are generally applicable to cloud environments and can also be used in multi-cloud/ multi-provider environments and can be integrated with existing security solutions.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Namer, Assaf; Maltzman, Brandon; Bobrovskye, Shachar; Lees, Daniel; Rinkevich, Guy; Vagts, Hauke; Nasir, Asjad; and Oz, Nir, "Enhancing Cloud Security via Polymorphic Infrastructure", Technical Disclosure Commons, (August 09, 2024)
https://www.tdcommons.org/dpubs_series/7268