SAN FRANCISCO– Paubox, a provider of HIPAA-compliant email security, has introduced Inbound Email Security, a generative AI-powered solution designed to protect healthcare organizations against increasingly sophisticated cyberattacks. The product goes beyond traditional rule-based filters, using artificial intelligence to analyze communication patterns and detect threats that conventional tools often miss.
“Traditional rule-based email security fundamentally doesn’t cut it anymore when we’re up against AI-generated attacks,” said Hoala Greevy, CEO and Founder of Paubox. “Inbound Email Security represents the next generation of email security—our generative AI doesn’t just look for known threats, it understands what normal healthcare communication looks like and stops sophisticated attacks that filters miss entirely.”
Phishing remains the leading cause of email breaches at healthcare organizations, with nearly 90 percent of IT leaders identifying AI and machine learning as essential for protection. Despite frequent staff training, only about 62 percent of employees can correctly identify phishing emails, leaving organizations exposed to significant risk.
Paubox’s Inbound Email Security uses large language models, vector databases, and generative AI to examine incoming messages in context. The system evaluates tone, sender behavior, and intent while providing transparency through confidence scores and explanations for flagged emails. Early testing showed it could stop sophisticated phishing attempts, including fake invoice scams, that bypassed legacy filters.
The system continuously adapts to new threats and patterns, learning in real time without manual updates. By distinguishing between legitimate urgent requests and deceptive social engineering, the tool is designed to reduce healthcare organizations’ reliance on manual oversight.
“We’ve essentially given healthcare organizations their own AI security analyst that works 24/7,” Greevy added. “It understands the nuances of healthcare communication and can distinguish between legitimate urgent requests and sophisticated social engineering attempts.”
