AI-Powered SOC2 and HiTrust Readiness Framework for Cloud-Native Startups

Authors

  • Shiva Kumar Chinnam  Clemson University, South Carolina, USA
  • Ravindra Karanam   Fairleigh Dickinson University, Teaneck, NJ

DOI:

https://doi.org/10.32628/CSEIT2391546

Keywords:

SOC2 compliance, HiTrust certification, AI-driven audit, cloud security, startup compliance, automated governance

Abstract

This article presents an AI-driven compliance readiness framework designed to accelerate SOC2 and HiTrust certifications for early-stage startups. The system leverages supervised learning to predict audit failures and recommend mitigations, and is validated against production infrastructure setups in AWS using Terraform and Gitlab CI/CD workflows. The framework demonstrates 87% accuracy in predicting potential audit failures and reduces compliance preparation time by 65% compared to traditional manual approaches. Through automated policy mapping, continuous monitoring, and intelligent gap analysis, the system enables resource-constrained startups to achieve enterprise-grade compliance standards efficiently.

References

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2023-01-30

Issue

Volume 9, Issue 1, January-February-2023

Section

Research Articles

License

Copyright (c) IJSRCSEIT

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Shiva Kumar Chinnam, Ravindra Karanam , " AI-Powered SOC2 and HiTrust Readiness Framework for Cloud-Native Startups" International Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 9, Issue 1, pp.331-337, January-February-2023. Available at doi : https://doi.org/10.32628/CSEIT2391546