Systems and methods for aida based analytics and reporting

Abstract

Disclosed embodiments describe an exporter that creates files in a format suitable as input for training models, from records selected and extracted from a database which stores results from simulated phishing campaigns. In some embodiments, a model trainer receives the files from the exporter and uses the files as inputs to train a neural network in order to establish a model. The model is the stored to be used by a campaign controller for communicating simulated phishing communications to devices of users, as part of a simulated phishing campaign

Description

FIELD OF THE DISCLOSURE[0001]This disclosure generally relates to artificial intelligence driven security awareness systems for performing simulated phishing attacks.BACKGROUND OF THE DISCLOSURE[0002]It can be useful to perform simulated phishing attacks on an individual or set of individuals for the purposes of extracting information from a device used by the individuals. A phishing attack involves an attempt to acquire sensitive information such as usernames, passwords, credit card details, etc., often for malicious reasons, possible by masquerading as a trustworthy entity. For example, an email may be sent to a target, the email having an attachment that performs malicious actions when executed or a link to a webpage that either performs malicious actions when accessed or prompts the user to execute a malicious program. Malicious actions may include malicious data collection or actions harmful to the normal functioning of a device on which the email was activated, or any other ma...

AI Technical Summary

Benefits of technology

The patent text describes a method for simulating a phishing attack to test the readiness of a security system or users of the system. The goal is to prevent malicious actions caused by phishing attacks. The method involves targeting a large number of users and can help expose vulnerabilities in the security infrastructure. The effectiveness of the simulated phishing attack depends on the user's behavior and the type of phishing attack. The method can be useful for educating users on how to recognize threats.

Problems solved by technology

Different users respond differently to different stimuli, and therefore the type of phishing attack that one user falls prey to may not be remotely tempting to a different user.

These differences in user behaviors mean that the same simulated phishing attack does not have the same effectiveness in terms of teaching a user how to recognize threats, because not all users would have likely responded to a similar real phishing email in the first place.

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