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AI-Enabled Procurement in Life Sciences: Advancing Data Privacy, Cybersecurity, and Compliance Governance

by Manoj Somisetty
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 187 - Number 24
Year of Publication: 2025
Authors: Manoj Somisetty
10.5120/ijca2025925402

Manoj Somisetty . AI-Enabled Procurement in Life Sciences: Advancing Data Privacy, Cybersecurity, and Compliance Governance. International Journal of Computer Applications. 187, 24 ( Jul 2025), 46-51. DOI=10.5120/ijca2025925402

@article{ 10.5120/ijca2025925402,
author = { Manoj Somisetty },
title = { AI-Enabled Procurement in Life Sciences: Advancing Data Privacy, Cybersecurity, and Compliance Governance },
journal = { International Journal of Computer Applications },
issue_date = { Jul 2025 },
volume = { 187 },
number = { 24 },
month = { Jul },
year = { 2025 },
issn = { 0975-8887 },
pages = { 46-51 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume187/number24/ai-enabled-procurement-in-life-sciences-advancing-data-privacy-cybersecurity-and-compliance-governance/ },
doi = { 10.5120/ijca2025925402 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2025-07-31T02:39:55.964476+05:30
%A Manoj Somisetty
%T AI-Enabled Procurement in Life Sciences: Advancing Data Privacy, Cybersecurity, and Compliance Governance
%J International Journal of Computer Applications
%@ 0975-8887
%V 187
%N 24
%P 46-51
%D 2025
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In life sciences the word to describe the purchasing process is not only about buying and supplying but a critical process that links your organization to compliance, patient safety and supply chain integrity. As more companies embrace digitalization, businesses are now looking into how artificial intelligence (AI) can play a key role in procurement operations. This article explores how AI-powered procurement solutions can support life sciences firms seeking to navigate increasing data privacy, cyber security and compliance governance complexities. Looking at industry-driven mandates like HIPPA, FDA regulations, and Good Distribution Practices (GDP), the paper explains how intelligent platforms for procurement can automate these compliance checks, track supplier risk, and enhance the traceability of sourcing decisions. The examination also showcases real-world application scenarios such as the automatic detection of contract clauses, vendor segmentation for risk profiling and the incorporation of cybersecurity best practices into sourcing processes. Decisions to incorporate an AI-based approach are then carefully integrated with governance mechanisms to guarantee AI helps comply, rather than undermines, compliance. The paper comes with a strategy for how AI can be used responsibly in regulated procurement processes, focusing on the protection of sensitive data and strengthened ethical aspects in digital operations.

References
  1. U.S. Food and Drug Administration (FDA), 21 CFR Part 11 – Electronic Records; Electronic Signatures, Code of Federal Regulations, Title 21, 2023 https://www.ecfr.gov/current/title-21/chapter-I/part-11
  2. U.S. Department of Health and Human Services (HHS), Summary of the HIPAA Security Rule, 2013. Available:https://www.hhs.gov/hipaa/for-professionals/security/index.html
  3. National Institute of Standards and Technology (NIST), Framework for Improving Critical Infrastructure Cybersecurity, Version 1.1, April 2018. [Online].https://nvlpubs.nist.gov/nistpubs/CSWP/NIST.CSWP.04162018.pdf
  4. World Economic Forum, Transforming Procurement for the Future: Leveraging Emerging Technologies, White Paper, Geneva, 2022. [Online]. Available: https://www.weforum.org/whitepapers
  5. Deloitte, AI-Augmented Procurement: How Artificial Intelligence is Reinventing Strategic Sourcing, DeloitteInsights,2021 https://www2.deloitte.com
  6. Center for Security and Emerging Technology (CSET), Georgetown University, Responsible AI in High-Risk Systems: Procurement Considerations, 2022.https://cset.georgetown.edu/publication/responsible-ai-procurement/
  7. Vallepu, R. (2025). Enhancing AI and Machine Learning Performance Through Effective Master Data Management. International Journal of Computer Applications,186(69). https://www.ijcaonline.org/archives/volume186/number69/vallepu-2025-ijca-924535.pdf
  8. Vallepu, R. (2024). Tackling Challenges in Life Sciences Master Data Management through Effective Machine Learning Implementation. In 2024 International Conference on Electrical, Electronics and Telecommunication Engineering (ICEET), IEEE. https://ieeexplore.ieee.org/document/10913746.
Index Terms

Computer Science
Information Sciences

Keywords

Life Sciences Procurement AI in Regulated Industries Data Privacy Compliance Cybersecurity in Supply Chain