AI-Driven Predictive Analytics and Blockchain Integration for Real-Time Supply Chain Cyber Threat Recognition
Keywords:
supply chain cybersecurity, AI-driven predictive analytics, blockchain integration, real-time threat detectionAbstract
Cyberattacks on contemporary supply chains may cause disruptions and severe financial losses due to their complexity and interconnectedness. Blockchain technology and AI-driven predictive analytics may improve supply chain security and resiliency. Blockchain's decentralized and tamper-proof ledger provides transparent and verifiable data, while AI-driven prediction models can analyze massive volumes of data to identify cyber risks in real time. This article examines real-time supply chain cyber threat detection using AI and blockchain. It explores blockchain and predictive analytics fundamentals, current research and implementations, obstacles, and future prospects for their integration. Successful implementation case studies are also provided to illustrate their ability to mitigate supply chain cyber hazards.
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