Give employees expertise they can rely on
By deploying OnINBOX across your organization you're effectively giving each employee a dedicated security expert that points out the risks in every email.

Every warning is the result of a technical risk assessment completed by scanning the email's hidden DNA and cross-checking it with both your Trust Network and machine learning models that understand human language and relationships.

Anyone in your organization can understand OnINBOX’s clear traffic-light indicator at the top of every email to alert them to brand impersonation, payment fraud and other Business Email Compromise (BEC) attacks. Best of all, for security teams, this reduces the burden of false positives.

Combining rigorous technical scans with powerful social-intelligence
Beneath the simple indicators, OnINBOX’s advanced trust model analyzes historical email data straight out the box to kick-start personalized Trust Networks.

Machine learning powers OnINBOX's social-intelligence, which combines historical email data with a live risk assessment of every inbound email. This includes the sender's security and the language they used before clearly labeling the risks at the top of every email - so your employees won’t miss a thing.