ATDATA
Customers often face repetitive requests for similar documents which may not be readily available, creating friction. Centralised data storage of sensitive PII data increases cyberattack risks and human error. Outdated legacy systems poorly integrate with modern verification and behavioral tools. Lengthy, cumbersome processes hurt customer experience and delay revenue. Most importantly, they’ re missing a lot of digital profile information which is critical in KYC within a digital environment.
Email intelligence doesn’ t necessarily replace KYC, it augments it. Integrating email intelligence early flags high-risk accounts before they transact, reducing downstream losses. Email history and behavioral signals provide a living digital trail that helps detect identity theft and synthetic profiles. When combined with document checks, device and transaction signals, and continuous monitoring, email becomes a high-value, low-friction signal that strengthens security, reduces costs and preserves a better customer experience.
“ Email intelligence turns email addresses from a static field into a dynamic fraud signal that powers real-time detection”
Diarmuid Thoma, Head of Fraud Prevention and Data Strategy, AtData
Q. HOW CAN FINTECHS USE AI AND EMAIL INTELLIGENCE TO PROACTIVELY DETECT FRAUD BEFORE IT HAPPENS? FinTechs can get ahead of fraud by combining AI with email intelligence to create fast, automated and highly accurate early-warning systems. Together these technologies turn email addresses from a static field into a dynamic fraud signal that powers realtime detection, adaptive responses and continuous improvement.
AI models ingest network, device, transaction and email-behavior
138 October 2025