IRONSCALES, the pioneer of self-learning email security, announced that it has deployed natural language processing (NLP), using advanced machine learning (ML) and neural networks, to automatically detect and respond to the most common types of business email compromise (BEC) attacks. As an emerging phishing attack technique, BEC leans heavily on social engineering messages that rarely contain malicious attachments or links, resulting in frequent delivery into employee inboxes. In 2019, the FBI estimates that BEC attacks cost businesses at least $1.77 billion. "Business email compromise has emerged as a major headache for companies of all sizes," said Eyal Benishti, IRONSCALES founder and CEO. "We've been working for many years on building technology to reduce the risk posed by malicious messages that traditional email security safeguards were never built to detect. The addition of natural language processing further improves our ability to protect employee's inbox from BEC attacks, while relieving security analysts from the burden of manually analyzing and remediating every single threat."