Misdirected email is the #1 cause of accidental data loss according to the ICO. Learn how Tessian stops accidental data loss that rule-based DLP solutions fail to detect.
On average, a 1,000-employee organization sends out 800 misdirected emails in a year.
Simple errors like typing in a wrong email recipient or attaching the wrong file containing sensitive data can result in serious consequences. Misdirected emails are a big challenge to enterprises as these are substantially under-reported.
Accidental data loss through misdirected email and wrong attachments results in loss of trust and reputation, and can have financial and compliance implications.
Using machine learning, Tessian ensures that emails reach the right recipients, preventing accidental data breaches over email.
Leveraging historical data to map email relationships with context, deep content inspection, and behavioral analysis, Tessian can identify first-time contacts, flag recipient anomalies, and stop misdirected emails in real time.
Tessian uses a combination of attachment scanning, natural language processing (NLP), and deep content inspection to map email content to users, entities, and projects. This helps detect a variety of anomalies and warn when employees are about to send a wrong attachment.
When Tessian discovers anomalies, it displays contextual warning messages with precise flag reasons for the benefit of the employees about wrong recipients and attachments before the email is sent. Employees see Tessian alerts only when data loss events are detected. It is truly non-intrusive and simply works in the background without disrupting productivity.