• Sd. Arshadali
• Mrs. M. Subhashini

In today's interconnected digital landscape, cyber supply chain security has emerged as a critical concern for organizations globally. The increasing complexity of supply chains, combined with the growing sophistication of cyber threats, necessitates innovative approaches to safeguarding sensitive information and maintaining operational integrity. This paper explores the application of cyber threat predictive analytics (CTPA) as a transformative tool for enhancing cyber supply chain security. CTPA leverages advanced data analytics, machine learning, and artificial intelligence to predict and mitigate potential cyber threats before they materialize. By analyzing vast amounts of data from various sources, including network traffic, user behavior, and threat intelligence feeds, CTPA can identify patterns and anomalies indicative of impending cyber attacks. This proactive approach allows organizations to implement preemptive measures, thereby reducing the risk of disruptions and data breaches within the supply chain. The integration of CTPA into supply chain security frameworks offers several benefits, including improved threat detection accuracy, faster response times, and the ability to anticipate and counteract emerging threats. This paper discusses the fundamental components of CTPA, its implementation challenges, and its potential impact on supply chain security. This outsourcing necessitates the integration of operational technologies (OT) and information technologies (IT) operating on Cyber-Physical Systems (CPS) infrastructures. However, inherent threats, risks, and vulnerabilities within these systems can be exploited by threat actors targeting the OT and IT components of supply chain systems. Outbound chain attacks include data manipulation, information tampering, redirecting product delivery channels, and data theft. Through case studies and real-world examples, we demonstrate how organizations have successfully utilized CTPA to fortify their cyber defenses. The findings highlight the necessity of adopting predictive analytics to navigate the evolving threat landscape and underscore the strategic advantage it provides in safeguarding cyber supply chains. Ultimately, this research advocates for the widespread adoption of CTPA to enhance the resilience and security of supply chains against cyber threats.

Cyber Threat Predictive Analytics for Improving Cyber Supply Chain Security

"Cyber Threat Predictive Analytics for Improving Cyber Supply Chain Security", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 6, page no.47-53, June-2024, Available :http://www.jetir.org/papers/JETIRGL06008.pdf

"Cyber Threat Predictive Analytics for Improving Cyber Supply Chain Security", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 6, page no. pp47-53, June-2024, Available at : http://www.jetir.org/papers/JETIRGL06008.pdf