Knowbe4, Inc.

Stu Sjouwerman

Alin Irimie

Greg Kras

Eric Wayne Sites

Marcio Castilho

Siegfried Martens

Eric Bonabeau

Kristian Kime

Brian Jack

The present disclosure describes systems and method for performing a vulnerabilities assessment of an organization. A campaign controller executes one or more simulated phishing campaigns directed to a plurality of users of an organization, using a plurality of models determined by the campaign controller based at least on identification of the organization. The campaign controller stores to a database the results of execution of the one or more simulated phishing campaigns and based on the results, the campaign controller determines one or more vulnerabilities to phishing for the organization. In one embodiment, the campaign controller determines a percentage of the plurality of users of the organization that are phish-prone. In some embodiments, the users of the organization that are phish-prone interacted with a link of a simulated phishing communication.

Systems and methods for using artificial intelligence driven agent to automate assessment of organizational vulnerabilities

The present disclosure describes systems and methods for determining a subsequent action of a simulated phishing campaign. A campaign controller identifies a starting action for a simulated phishing campaign directed to a user of a plurality of users. The simulated phishing campaign includes a plurality of actions, one or more of the plurality of actions to be determined during execution of the simulated phishing campaign The campaign controller responsive to the starting action, communicates a simulated phishing communication to one or more devices of a user. The campaign controller determines a subsequent action of the plurality of actions of the simulated phishing campaign based at least on one of a response to the simulated phishing communication received by the campaign controller or a lack of response within a predetermined time period and initiating, responsive to the determination, the subsequent action of the simulated phishing campaign.

Systems and methods for an artificial intelligence driven smart template

Systems and methods of embodiments are described of a campaign controller that establishes a model for using a plurality of types of exploits based on at least results of simulated phishing communications using those exploits, and uses the model to communicate a first simulated phishing communication to one or more devices of a user where the type of exploit used for the first simulated phishing communication is selected using the model. The campaign controller applies either artificial intelligence or machine learning to the results of simulated phishing communications to establish the model. The campaign controller selects the exploit by applying either artificial intelligence or machine learning to one or more attributes of the user and/or one or more responses from the user.

Systems and methods for AIDA based exploit selection

A system and method is described that sends multiple simulated phishing emails, text messages, and/or phone calls (e.g., via VoIP) varying the quantity, frequency, type, sophistication, and combination using machine learning algorithms or other forms of artificial intelligence. In some implementations, some or all messages (email, text messages, VoIP calls) in a campaign after the first simulated phishing email, text message, or call may be used to direct the user to open the first simulated phishing email or text message, or to open the latest simulated phishing email or text message. In some implementations, simulated phishing emails, text messages, or phone calls of a campaign may be intended to lure the user to perform a different requested action, such as selecting a hyperlink in an email or text message, or returning a voice call.

Systems and methods for an artificial intelligence driven agent

Systems and methods for performing a simulated phishing attack are provided. A simulated attack server can send a simulated attack email including a unique identifier to a target. The simulated attack server can receive a reply email including the unique identifier from the target. The simulated attack server can extract the unique identifier from the reply email. The simulated attack server can determine a match between the unique identifier and an identity of the target. The simulated attack server can record a target failure, responsive to determining the match between the unique identifier and the identity of the target.

Systems and methods for performing a simulated phishing attack

Systems and methods are disclosed that minimize ongoing risk to an organization from user behaviors which magnify the severity of a spoofed domain. Systems and method are provided which enable an entity and users of an entity to identify potential harmful domains, combining search, discovery, reporting, the generation of risk indicators, end-user risk assessments, and training into a security awareness system.

System and methods for spoofed domain identification and user training

The present disclosure describes systems and methods for using a model for a predetermined role for simulated phishing campaigns. A campaign controller communicates simulated phishing communications to one or more devices of a user using a model that the campaign controller selects from a plurality of models in a database that have been established for predetermined roles of a company. The model is selected based on one or more attributes of the user that are identified by the campaign controller. The campaign controller identifies one or more attributes of each user of a plurality of users for the simulated phishing campaign, and the campaign controller selects a respective model for each user based on the attributes of each user, wherein the models are not all the same for all of the users.

Systems and methods for AIDA based role models

Embodiments disclosed herein describe a server, for example a security awareness server or an artificial intelligence machine learning system that establishes a risk score or vulnerable for a user of a security awareness system, or for a group of users of a security awareness system. The server may create a frequency score for a user, which predicts the frequency at which the user is to be hit with a malicious attack. The frequency score may be based on at least a job score, which may be represented by a value that is based on the type of job the user has, and a breach score that may be represented by a value that is based on the user's level of exposure to email.

Systems and methods for determining individual and group risk scores

The present disclosure describes systems and methods for using a template for a simulated phishing campaign, A database includes a plurality of templates for simulated phishing campaigns, each template of the plurality of templates identifying a list of a plurality of types of simulated phishing communications and at least a portion of content for the simulated phishing communications. A campaign controller selects a template from the plurality of templates for a simulated phishing campaign directed to a user of a plurality of users; and communicates, to one or more devices of the user a first type of simulated phishing communication of the plurality of types of simulated phishing communications with at least the portion of content identified by the template.

The present disclosure describes systems and methods for dynamically creating groups of users based on attributes for simulated phishing campaign. A campaign controller determines one or more attributes of a plurality of users during execution of a simulated phishing campaign and creates one or more groups of users during based on the identified attributes. The campaign controller selects a template to be used to execute a portion of the simulated phishing campaign for a first group of users and then communicates one or more simulated phishing communications to the first group of users according to the template. The template may identify a list of a plurality of types of simulated phishing communications (email, text or SMS message, phone call or Internet based communication) and at least a portion of the content for the simulated phishing communication.

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Bellair, FL, United States of America

Stu Sjouwerman