Automated Compliance: A Privacy-Focused Solution for GDPR and DPDPA Adherence

This paper explores the possible automation of Governance, Risk, and Compliance (GRC) concerning various evolving privacy regulations-specifically, the General Data Protection Regulation (GDPR) and the Digital Personal Data Protection Act (DPDPA). With the increasing complexity of regulatory requirements, especially regarding data privacy, there is also a growing need for an automated GRC solution that will help organisations make sure to adhere to all applicable laws and regulations. The proposed compliance checker tool aims at the automation of several aspects of the audit process. This tool will be a starting point for compliance for organisations, more so for small and medium enterprises (SMEs), which are often beset with issues such as financial problems, lack of expertise, and vendor concentration on thirdparty risk management. The evaluation of this tool on a dataset of 50 websites (25 non-compliant and 25 compliant) yielded promising results, achieving an accuracy of 86%, a recall rate of 92%, and an F1 score of 86.79%. This work has shown that automation of such processes can significantly, if not completely, reduce compliance errors, lower operational costs, and speed up the proceeding audits and assessments, thereby making automation a strong enablement for organisations in the complex regulatory environment to improve the level of compliance for better handling of customer privacy.

Authors

Institutions

Publication Details

Published
2024-12-06
DOI
https://doi.org/10.1109/smart63812.2024.10882514
Citations
1
Primary Topic
Privacy, Security, and Data Protection
Type
article
Field-Weighted Citation Impact
1.13
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Automated Compliance: A Privacy-Focused Solution for GDPR and DPDPA Adherence

Ameet Doshi, Pintu R. Shah, Dev Bhalavat, Nidhi Keni
1 citations
Privacy, Security, and Data Protection
1.13
article

Automated Compliance: A Privacy-Focused Solution for GDPR and DPDPA Adherence

Ameet Doshi, Pintu R. Shah, Dev Bhalavat, Nidhi Keni
article en
1 citations

Abstract

This paper explores the possible automation of Governance, Risk, and Compliance (GRC) concerning various evolving privacy regulations-specifically, the General Data Protection Regulation (GDPR) and the Digital Personal Data Protection Act (DPDPA). With the increasing complexity of regulatory requirements, especially regarding data privacy, there is also a growing need for an automated GRC solution that will help organisations make sure to adhere to all applicable laws and regulations. The proposed compliance checker tool aims at the automation of several aspects of the audit process. This tool will be a starting point for compliance for organisations, more so for small and medium enterprises (SMEs), which are often beset with issues such as financial problems, lack of expertise, and vendor concentration on thirdparty risk management. The evaluation of this tool on a dataset of 50 websites (25 non-compliant and 25 compliant) yielded promising results, achieving an accuracy of 86%, a recall rate of 92%, and an F1 score of 86.79%. This work has shown that automation of such processes can significantly, if not completely, reduce compliance errors, lower operational costs, and speed up the proceeding audits and assessments, thereby making automation a strong enablement for organisations in the complex regulatory environment to improve the level of compliance for better handling of customer privacy.

Narsee Monjee Institute of Management Studies (IN)
Decent work and economic growth
Openalex Percentile: Top 13%
Privacy, Security, and Data Protection
1.13
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.