Explainable AI models for Real -Time Threat Mitigation in Blockchain -Integrated IOT Supply Chains

This invention introduces explainable AI models tailored for real-time threat mitigation in supply chains that blend IoT and blockchain technologies. In essence, it addresses the vulnerabilities in modern, connected supply systems by using AI that not only detects risks swiftly but also provides clear,human-readable explanations for its actions. IoT devices gather live data on goods and processes, which is secured via blockchain to prevent tampering. The AI then
processes this data to identify threats such as cyberattacks, supply disruptions, or fraud, and responds immediately perhaps by halting operations or alerting teams. What sets it apart is the explainability: Users get detailed breakdowns of why a threat was flagged, fostering trust and enabling better oversight. This invention highlights the
invention's potential to enhance security, efficiency, and transparency in industries reliant on complex supply chains, reducing losses from threats while complying with
accountability standards.