Authors:
R. Senthilkumar, S. Kamalakannan, K. Balakrishnan, J. Senthil, Asique Kunhalakath

Addresses:
Department of Artificial Intelligence and Data Science, Shree Venkateshwara Hi-Tech Engineering College, Erode, Tamil Nadu, India. Department of Electronics and Communication Engineering, Shree Venkateswara Hi-Tech Engineering College, Erode, Tamil Nadu, India. Department of Artificial Intelligence and Data Science, Centre for Quantum Computing, Kalaignarkarunanidhi Institute of Technology, Coimbatore, Tamil Nadu, India. Department of Information Technology and Digital Transformation, The Zubair Corporation LLC, Muscat, Muscat Governorate, Oman.

Abstract:

In this paper, researchers introduce the notion of Cryptographic Policy Twins (CPT), a novel approach to achieving real-time security consistency between policies and their implementations in regulated Information Systems. Because data undergoes dynamic lifecycles in domains such as healthcare and finance, compliance checks that only examine data at rest cannot detect temporary integrity violations. From an analytical standpoint, organisations gain ongoing assurance by establishing a digital twin of the policy state, supported by cryptographic evidence. The present work considered a set of synthetic data comprising 474 transactions to simulate logs from high-frequency trading activities. The validation testing was based on the Hyperledger Fabric libraries for ledger services and OpenSSL for hash functions. To model how the operational DB interacts with its cryptographic twin, researchers developed our own simulation engine, PolicySync-v1. The evaluation aims to quantify the latency overhead, the integrity verification rate, and the storage efficiency of the proposed scheme. In practical terms, the results show that time-to-detect (TTD) policy deviation is significantly reduced by using the Cryptographic Policy Twin compared to a well-known audit logger. At the same time, this benefit comes at a reasonable computational cost. In this paper, researchers describe the design, real-world deployment, and evaluation results, which indicate that policy twins can enhance data sovereignty in untrusted clouds under strict regulatory constraints.

Keywords: Cryptographic Policy Twin; Data Integrity; Regulatory Compliance; Digital Twins; Real-time Auditing; Time-to-Detect; Hash Functions; Regulatory Constraints; Healthcare and Finance.

Received on: 07/07/2025, Revised on: 28/08/2025, Accepted on: 11/11/2025, Published on: 09/06/2026

DOI: 10.69888/FTSFDS.2026.000694

FMDB Transactions on Sustainable Finance and Data Science, 2026 Vol. 1 No. 2, Pages: 65-73

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