Security incidents and cyber-attacks are predicted to cost the world $9.5 trillion in 2024 and climb to over $13 trillion by 2028. Observability is key for bridging development and production insights, helping in early detection and prevention of security vulnerabilities. The MELT framework provides a comprehensive approach to security observability, combining metrics, events, logs, and traces. Data visualizations help identify normal and abnormal patterns, while machine learning and AI tools allow proactive deal with cybersecurity incidents. Observability can help address authentication, access control, brute force attacks, and external dependency vulnerabilities. It enhances incident response, threat modeling, vulnerability management, and security posture assessment, providing visibility into proactive security actions and reactive security investigations to better understand vulnerabilities in applications. By incorporating security observability, companies can proactively monitor their application and improve their security posture using tools like New Relic.