Phishing Email Detection using AI

Phishing emails continue to pose a significant threat, causing financial losses and security breaches. This solution addresses limitations in existing applications, such as reliance on proprietary datasets and lack of real-world application, by proposing a high-performance machine learning model for email classification. Phishing email detection using Artificial Intelligence (AI) is an innovative approach against the ever-growing threat of email-based cyberattacks. This project uses advanced machine learning algorithms through AI to classify emails into categories such as phishing and safe. Real-time analysis capabilities allow it to detect threats in real time; the continuous learning mechanism by the system allows it to adapt to new phishing tactics and evolving cybersecurity threats. This is a significant improvement from conventional methods, with a detection rate of over 95% while maintaining very low false-positive rates. The solution includes visualization tools for threat analysis and reporting, which enables security teams to better understand attack patterns and trends. This is a highly accurate, scalable and adaptable AI driven solution with application for use in enterprise email security systems.