TLDR: Paubox has launched ‘Inbound Email Security,’ a generative AI-powered solution designed to protect healthcare organizations from advanced cyber threats like business email compromise, spear phishing, and social engineering. This new system leverages large language models and vector databases to analyze email context, offering enhanced protection and visibility beyond traditional rule-based filters. The move comes as phishing remains the leading cause of healthcare data breaches, with 89% of IT leaders recognizing AI’s crucial role in threat detection.
SAN FRANCISCO – August 29, 2025 – Paubox, a prominent leader in HIPAA compliant email security for healthcare organizations, today announced the release of its groundbreaking ‘Inbound Email Security’ solution.
This innovative offering integrates generative artificial intelligence (AI) to provide a robust defense against the increasingly sophisticated cyber threats targeting the healthcare sector.
The new AI-powered system is specifically engineered to combat prevalent and evolving threats such as business email compromise (BEC), spear phishing, and social engineering attacks. Unlike conventional rule-based email security measures, Paubox’s Inbound Email Security utilizes advanced generative AI, large language models (LLMs), and vector databases to analyze incoming emails within their full context. This comprehensive analysis includes evaluating tone, sender behavior, message intent, and historical communication patterns to proactively identify and neutralize malicious content before it reaches user inboxes.
Hoala Greevy, CEO and Founder of Paubox, emphasized the necessity of this technological leap, stating, “Traditional rule-based email security fundamentally doesn’t cut it anymore when we’re up against AI-generated attacks.” He further elaborated on the product’s capabilities: “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.” This adaptive approach ensures continuous learning from new threats and communication patterns, automatically strengthening defenses without requiring manual updates.
The healthcare industry faces an escalating cybersecurity crisis. Phishing attacks continue to be the primary cause of email security breaches within healthcare organizations. A staggering 89% of healthcare IT leaders now acknowledge the critical importance of AI and machine learning in effective email threat detection. Despite 46% of healthcare IT teams having implemented advanced email filtering, these traditional defenses are proving inadequate against the current wave of sophisticated attacks.
Recent data underscores the severity of the threat landscape: in 2024 alone, 180 healthcare organizations experienced email-related breaches. A significant portion, 43.3%, of these breaches occurred on Microsoft 365 platforms. Furthermore, only 5% of known phishing attacks are reported by employees, highlighting a critical gap in human detection. The sector has also witnessed a alarming 264% increase in healthcare-related ransomware attacks.
Also Read:
- Anthropic Thwarts Autonomous AI Cyberattacks Targeting Sensitive Sectors
- Ostro Introduces AI-Powered Airmark to Enhance Clinician-Pharma Engagement
Paubox’s Inbound Email Security aims to address these vulnerabilities by offering stronger protection, clearer visibility into threats, and a significant reduction in the need for manual oversight. The company, recognized by G2 rankings as a leader in categories such as Best Secure Email Gateway, Email Security, HIPAA Compliant Messaging Software, and Email Encryption, is also the only HIPAA compliant email provider listed on G2’s 2025 Best Healthcare Software Products. Paubox currently serves over 7,000 healthcare organizations, including notable names like Cost Plus Drugs, Covenant Health, Devry University, and Oura Ring, reinforcing its position as a trusted partner in healthcare cybersecurity.


