HOW IT WORKS
Guardian analyses millions of data points across the entire email network of an organisation.
From this unstructured information, Guardian categorises and maps key data relationships.
Guardian applies data science and machine learning algorithms to detect patterns of behaviour and anomalies across the network.
Guardian’s machine learning algorithms analyse historical email data to learn typical sending patterns and behaviours.
Guardian then analyses the content of all outbound emails and detects any anomalies.
If an anomaly is detected, Guardian will temporarily stop the email from being sent and display a notification to the sender.
"With CheckRecipient Guardian, the machine learning technology allows our security team to focus our resources elsewhere, and prevent human error on email without having to actively define rules and monitor inboxes. It has already proved its worth and is an invaluable piece of our defensive arsenal."Richard RevillAssociate Director, Complyport