Lavani: AI-Integrated Cybersecurity Firewall with Crashbox Monitoring

The escalating complexity of cyber threats, driven by the proliferation of IoT devices and sophisticated attack vectors, necessitates advanced cybersecurity solutions.Lavani: AI-Integrated Cybersecurity Firewall with Crashbox Monitoring addresses this challenge by combining artificial intelligence (AI) with a next-generation firewall to deliver proactive, scalable, and user-centric network protection.Key features include the Crashbox Monitoring Dashboard for real-time threat visualization, AI-driven threat detection, self-healing attack recovery, dark web monitoring, and group-based device rules.Leveraging machine learning for predictive analytics and automated incident response, Lavani achieves high detection accuracy and rapid mitigation of threats such as ransomware, DDoS attacks, and zero-day exploits.This report comprehensively documents the design, implementation, and evaluation of Lavani, highlighting its alignment with global security standards (e.g., NIST, GDPR) and its innovative approach to IoT security.Through rigorous testing, including penetration testing and user acceptance trials, Lavani demonstrated a 95% threat detection accuracy and seamless scalability across diverse environments.This project contributes to the evolution of AI-driven cybersecurity, offering a robust framework for organizations to safeguard their digital assets.