Discover how large language models revolutionized threat detection in open-source software supply chains through groundbreaking research that uncovered over 900 undisclosed vulnerabilities and malicious packages. Learn about the innovative open-source kill chain concept and explore the methodology that successfully identified and prevented a Lazarus Group backdoor targeting the Ripple SDK. Examine real-world case studies demonstrating how AI-powered analysis can enhance cybersecurity defenses against sophisticated nation-state actors and supply chain attacks. Gain insights into practical applications of LLMs for automated vulnerability discovery and threat hunting in the rapidly evolving landscape of open-source security threats.