AI-Driven Techniques for Detecting and Preventing Social Media Phishing Attacks

This study delves into AI-powered methods for identifying and avoiding social media phishing assaults, with an emphasis on building a strong machine-learning model that accomplishes impressive performance measures. The model's 95% accuracy, 92% precision, and 90% recall guarantee accurate phishing threat classification with few false positives. Optimal response times are another element of the system that makes it suitable for real-time use in dynamic settings like social media. As the dangers of social media phishing continue to rise, the findings show that AI-based solutions could improve cybersecurity measures in a scalable and effective way.