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.
Rule-based DLP tools detect sensitive data strictly based on predefined data classification policies, filters and dictionaries.
But, what happens if the sensitive data being shared over email has not been classified, or authorized data is shared with the wrong party? Rules have no way of detecting the right receivers or autocorrect errors.
Modern DLP tools need to go beyond just simple statistical analysis and correlation of rules to detect accidental data loss caused by human error. They need to prevent risky behavior through contextual alerts to educate users on why an email is flagged.
Tessian delivers in-the-moment, contextual alerts to flag misdirected emails and misattached files using machine learning. The alerts are automated and highly targeted, resulting in low flag rates.
Traditional approaches to accidental data loss have come at the expense of user experience as annoying and unintelligent pop-ups cause user fatigue.
Rule-based approaches that try to limit sharing of legitimate data are restrictive and typically impact productivity due to their high number of alerts. For administrators, creating manual rules for every foreseeable use case is not only resource-intensive but can also lead to data blindspots.
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.