Tip 1
Pattern Recognition
AI algorithms can analyze large datasets of known phishing attempts to
identify common patterns and characteristics typical of phishing emails.
This allows AI systems to flag suspicious emails based on similarity to
known phishing techniques.
Tip 2
Anomaly Detection
AI can detect anomalies in communication patterns and content. For
example, it can identify unusual sender behavior (e.g., sudden change in
email address or location) or abnormal language patterns that may indicate
a phishing attempt.
Tip 3
Natural Language Processing (NLP)
NLP techniques enable AI to analyze the content of emails or messages to
identify phishing attempts. AI can understand the context and intent of
messages, distinguishing between legitimate communications and phishing
attempts.
Tip 4
URL Analysis
AI-powered systems can analyze URLs within emails or messages to determine
if they lead to known phishing sites or if they have suspicious
characteristics (e.g., obfuscated URLs, redirects). This helps in blocking
access to malicious websites.
Tip 5
Image and Document Analysis
AI can scan attached images or documents for malicious content or hidden
scripts that could compromise security. It can identify phishing attempts
that use fake logos or altered content to deceive users.
