How does AI contribute to phishing detection and spam filtering?

• A. It is trained on acceptable and suspicious email patterns to block or quarantine threats
• B. It only filters by sender domain
• C. It cannot assist with phishing
• D. It slows email delivery

Answer: (A)

AI helps phishing detection and spam filtering by learning from large datasets of emails that are labeled as legitimate or suspicious. It analyzes a wide range of signals—content in the message, subject lines, headers, URLs, attachments, and the sender’s reputation or IP history—and uses machine learning models and natural language processing to spot patterns that indicate phishing or spam. By training on these patterns, the system can distinguish normal emails from threats even when attackers try to imitate legitimate messages. It then assigns a risk score and can block, quarantine, or flag the message for review, while continually improving as new phishing tactics emerge and user feedback is incorporated. This approach goes beyond simple domain-based filtering and adapts to evolving threats, making it the most effective way to detect phishing and filter spam.