Which technology is commonly used to detect phishing attempts in emails?

Machine learning algorithms are widely employed to detect phishing attempts in emails due to their ability to analyze large datasets and identify patterns that may indicate malicious intent. These algorithms can learn from historical phishing data, differentiating between legitimate emails and those that are attempting to deceive recipients, often through impersonation or fraudulent links. By continuously updating their models with new data, machine learning systems can adapt to evolving phishing tactics, making them effective in real-time detection and prevention of such attacks.

In contrast, document management systems, website builders, and customer relationship management tools do not focus on email security or phishing detection. Document management systems organize and store documents, website builders create websites without directly addressing email integrity, and customer relationship management tools manage customer interactions and data, which are unrelated to the identification of phishing attempts.