Knowbe4, Inc.

Knowb4, Inc.

Alin Irimie

Greg Kras

Stu Sjouwerman

Eric Wayne Sites

David Austin

Marcio Castilho

Eric Bonabeau

Kristian Kime

Siegfried Martens

Benjamin Dalton

Brian Jack

Wendy Bartlett

Daniel Cormier

Raymond Skinner

Michael Hanley

Perry Carpenter

Suzanne Gorman

Daniel Lorch

Drew Graef

Nicole McBride

Isida Drake

Benjamin Edwards

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

Systems and methods are described for leveraging the knowledge and security awareness of well-informed users in an organization to protect other users and train them to identify new phishing attacks. Initially, a report of a message being suspicious may be identified and it may be determined whether message is a malicious phishing message. In an example, a well-informed user of an organization may report the message as suspicious. Further, on determining the message to be a malicious phishing message, a simulated phishing message or a template may be created. The simulated phishing message may then be communicated to one or more devices of one or more users.

Systems and methods for reporting based simulated phishing campaign

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

This disclosure describes embodiments of an improvement to the static group solution because all the administrator needs to do is specify the criteria they care about. Unlike static groups, where the administrator needs to keep track of the status of individual users and move them between static groups as their status changes, smart groups allows for automatic identification of the relevant users at the moment that action needs to be taken. This feature automates user management for the purposes of enrollment in either phishing and training campaigns. Because the smart group membership is determined as the group is about to be used for something, the smart group membership is always accurate and never outdated. The query that determines the smart group membership gets run at the time when you are about to do a campaign or perform some other action that needs to know the membership of the smart group.

Using smart groups for computer-based security awareness training systems

Systems and methods are provided for performing simulated phishing attacks using social engineering indicators. One or more failure indicators can be configured in a phishing email template, and each failure indicator can be assigned a description about that failure indicator through use of a markup tag. The phishing email template containing the markup tags corresponding to the failure indicators can be stored and can be used to generate a simulated phishing email in which the one or more markup tags are removed.

Systems and methods for performing simulated phishing attacks using social engineering indicators

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

System and methods are described which are useful for efficiently combining characteristic detection rules, such as may be done to efficiently and quickly assist in the dispositioning of user reported security threats.

Systems and methods for efficient combining of characteristc detection rules

Embodiments of the disclosure describe systems and methods for selecting a first group of users, which is selected to receive simulated phishing emails as part of a simulated phishing campaign, and adding users to a second group of users based upon those selected users interacting with a simulated phishing email that is part of a simulated phishing campaign; tracking the completion of remediation training related to phishing emails by users in the second group of users and receiving one or more indications that the users in the second group of users have completed remedial training; and automatically adding users, who are members of the second user group, to the first user group, to a third user group, or to a predetermined user group responsive to the one or more indications that the users in the second group of users have completed remedial training.

Systems and methods for subscription management of specific classification groups based on user's actions

A method for establishing a campaign for a simulated phishing attack includes receiving, via a campaign manager, specification of a plurality of parameters for a campaign including at least an identifier of a campaign and identification of users to which to send the campaign, establishing, via the campaign manager, a type of exploit for the campaign and one or more types of data to collect via the type of exploit, storing, by the campaign manager, the campaign comprising the plurality of parameters, and identifying, by a simulation server, the campaign stored in the database to create a simulated phishing email, to be sent to email accounts of the users, using the plurality of parameters of the campaign, wherein the simulated phishing email is to be created to have a link to a landing page comprising the type of exploit and configured to collect the one or more types of data.

Systems and methods for performing or creating simulated phishing attacks and phishing attack campaigns

Systems and methods are disclosed that are useful for minimizing organization risk in the case of a cybersecurity attack, through computer-based simulation of cybersecurity attacks, incident response tracking and incident response training provided responsive to the simulation outcome. A server is configured to execute a simulated cybersecurity attack on a plurality of users and their computer systems on a company network associated with a company, tracking responses such as interactions with at least one of the computer systems or network components to the simulated cybersecurity attack and validating whether one or more responses of a predetermined set of responses have occurred to minimize the impact of the simulated security attack on the entity.

System and methods of cybersecurity attack simulation for incident response training and awareness

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.

Growing community of inventors

Clearwater, FL, United States of America

Alin Irimie