Email security platform
Abstract
A server can include a detection module for monitoring an electronic account and detecting irregular or fraudulent activities. The detection module can be a machine learning model configured to detect activities or patterns indicative of an account being compromised, hacked or accessed by unauthorized users. Upon detection of the irregular activities or patterns, the detection module can transmit a notification or signal to a trigger module which can implement remedial actions. The trigger module can receive the signal from the detection module and execute an action in accordance with a trigger plan. The trigger plan can include various information and a range of actions, which can be selected and/or executed based on the information included in the signal.
Claims
exact text as granted — not AI-modified1 - 20 . (canceled)
21 . A method, comprising:
classifying, using a machine learning algorithm at least one email transmitted from or received at an email account as belonging to a first class of emails; and transmitting an alarm signal to a server based on the classification of the at least one email to the first class of emails, wherein:
the alarm signal includes instructions configured to cause the server to take an action with respect to a plurality of accounts which are associated with the email account, and
the action is freezing the plurality of accounts.Join the waitlist — get patent alerts
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