Adaptive Trust Engine
Learn communication patterns specific to each sender and recipient.
Adaptive Trust Engine
Learn communication patterns specific to each sender and recipient.
As part of our Email Security Gateway solution, the Adaptive Trust Engine (A.T.E.) is a dynamic relationship tracking tool for email senders and recipients, all transactions are tracked and monitored to measure trust and to observe who usually communicates within your organisation.
Legacy email security products rely on outdated, inaccurate, and inadequate good/bad techniques struggling to identify more advanced threats such as business email compromise, impersonation, and spoofing attacks.
Libraesva Adaptive Trust Engine uses machine learning & AI along with historical data analysis to quickly and automatically learn the legitimate communication patterns specific to each sender and recipient, making it easy to spot the anomalous emails.
Leveraging the Adaptive Trust Engine’s information, we are able to alert users only when it’s necessary. Appending messages to email has become invisible to users worldwide, so we keep the alerts to only whats important and we keep them clear. Our First Time Sender detection kicks in only when someone has no relationship with you or your organisation. Supply chain and partner relationships are a complex machine, so we took the leg work out of it by narrowing it down to an algorithm. We take information such as amount of historic organisational and user contact, the content of the email and more to determine the first time senders and whether we need to append a message. That’s why our First Time Sender detection is different!
The Libraesva ESG email security suite provides real-time monitoring and intelligence to mitigate human and automated fraud before it impacts the business, without disrupting the customer experience. With dedicated functionalities based on our proprietary Adaptive Trust Engine AI based technology, Libraesva ESG is uniquely positioned to stop ATO with defense that adapts to changes in attack patterns and retooling, as it looks at communication history and patterns transponding the human relationship value into their digital communication.
Leveraging Adaptive Trust Engine Ai based information we are able to identify unusual mailbox activities, such as massive sends to existing contacts or messages to completely new recipients, keeping on hold suspicious messages while sending user’s notification.
This approach is very effective on outgoing traffic preventing impostors to send out spam from a compromised mailbox. Humans rely on trust in their relationships, the Libraesva Adaptive Trust Engine transponded this natural human being behaviour into digital communications.
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