The Interconnected nature of supply chain in our modern-day organization system has prone majority of business and organization to complex security vulnerabilities and attacks. Conventional security frameworks struggle to address the growing complexity of threat targeting third parties’ vendors and partners. This paper proposes an AI-powered Zero trust framework as a robust approach to mitigating cyberattacks within an organizational supply chain system. We explore some conventional security models that have been used in the past and discuss how AI can enhance a zero-trust approach for proactive threat detection, continuous monitoring and verification and finally improving decision making. Supply chain management is an integral part of an organization to increase the productivity and profitability of a business. Nowadays, a lot of organizations are involved in one or more supply chain activities and good and effective supply chain management will skyrocket the business to a greater height. The Core principle of an AI-powered Zero Trust Framework which includes data driven riskassessments, anomaly detection and automated threat response mechanisms were discussed in detailed. In conclusion, we discuss the Benefit and challenges associated with implementing zero trust in supplychain environment.

Authors: Olaniyi A. Ayeni, Oluwanifemi A. Olawuyi

Published in: International Conference on Information Society (i-Society-2024)

• Date of Conference: 26-28 August, 2024
• DOI: 10.20533/iSociety.2024.0020
• ISBN: 978-1-913572-72-3
• Conference Location: Churchill College, Cambridge, UK