Why Adaptive Trust is a huge advance in anomaly detection
Context is everything
When you look at something in isolation, without any reference point to compare it to, it isn’t always easy to tell whether it’s the real thing or not. For example, do zebras have blue eyes or brown eyes? If you’ve seen enough zebras in the past, and the herd of zebras currently running past you all have brown eyes, you can be pretty sure that any blue-eyed zebras might be an anomaly worth checking out. But if you hadn’t seen a zebra recently and you aren’t an expert, could you be sure? This is where an Adaptive Trust learning system helps.
Like naturalists, email security systems benefit from having comparison data that enables them to rapidly identify even the smallest of anomalies. With up-to-date context and comparison data, your email security will be much better equipped to spot the more advanced threats, such as business email compromise, impersonation, and spoofing attacks.
AI-driven threat prevention
AI-driven threat prevention can continually gather intelligence to enable security solutions to detect email anomalies. Libraesva’s Adaptive Trust Engine builds and understands the natural communication patterns within your organization, tracking and monitoring the behaviors of senders and recipients over time to create a contextual landscape.
It’s a dynamic process that uses machine learning to gather and analyze the data, then continuously adapts and updates what that communication landscape usually looks like for your business. This is what makes Libraesva Email Security so impressively effective at spotting anomalies and possible threats. And it’s a huge step forward from traditional email security solutions that rely on source-based classification of emails and simple content scanning.
Libraesva’s Adaptive Trust Engine is also an essential tool for account takeover protection. It’s very effective at preventing imposters from using one of your accounts to send out spam: identifying atypical mailbox activity and keeping suspicious outgoing messages on hold until they can be checked with the account holder.
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