LLM-Driven PCI 4 Compliance Artifact Generation and Gap Analysis

Authors

  • Manish Tomar Citi, USA Author
  • Prabhu Muthusamy Cognizant Technology Solutions, USA Author
  • Aman Sardana Discover Financial Services, USA Author

Keywords:

PCI DSS, large language models, compliance automation, audit readiness, control evidence, runtime telemetry

Abstract

Payment systems need to follow PCI DSS v4.0 to make sure a lot of documentation and constant inspections are needed to be done. The objective of this research is to introduce a large language model for the automated creation of compliance artefacts and real-time gap analysis, which includes architectural diagrams, version-controlled code commits, and operational data to show that we are PCI 4-compliant.

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Published

15-01-2018

How to Cite

[1]
Manish Tomar, Prabhu Muthusamy, and Aman Sardana, “LLM-Driven PCI 4 Compliance Artifact Generation and Gap Analysis”, American J Cognit Comput AI Syst, vol. 2, pp. 33–68, Jan. 2018, Accessed: Jul. 29, 2026. [Online]. Available: https://ajccai.org/index.php/publication/article/view/23