Abstract: System and methods are disclosed for organizations to run a test against an active directory list to see if any user-provided passwords have been part of an existing data breach. Utilizing information from such a test identifies users that have weak passwords, reused passwords or shared passwords that have been associated with an earlier breach. With this information, the organization can seek to reduce risk by training staff for this specific issue in a timely and appropriate manner to significantly reduce the risk of a future breach by those identified users. Training can be customized and targeted at those users who attempt to use passwords that have been associated with a breach (either of their own account or of another account on the same or related domain.

Abstract: Systems and methods are described for verifying whether simulated phishing communications are allowed to pass by a security system of an email system to email account of users. The delivery verification campaign may be configured to include the selection of the one or more types of simulated phishing communications from the plurality of types of simulated phishing communications. The selected one or more types of simulated phishing communications of the delivery verification campaign may be communicated to one or more email accounts. It is determined whether or not each of the one or more types of simulated phishing communications was allowed by the security system to be received unchanged at the one or more email accounts.

Abstract: 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.

Abstract: Embodiments disclosed herein describe a server, for example a security awareness server or an artificial intelligence machine learning system that establishes a job score for a user based on the user's job title. In embodiments, the vulnerability of a user to malicious cybersecurity attacks, the propensity for the user to engage with a malicious attack, and the severity of a malicious attack likely to be sent to the user and the severity of the harm to the user's organization is the user engages with the malicious attack is represented in a user risk score. The risk score for a user of a security awareness system, or for a group of users of a security awareness system, may be calculated based on one or more of a frequency score for the user, a propensity score for the user, a severity score for the user, and a job score for the user.

Abstract: Systems and methods are described by which a serving module of a campaign controller identifies a first version of a model which the campaign controller uses to communicate a first simulated phishing communication to a plurality of users. The campaign controller receives a first response from a first user to the simulated phishing communication and a second response from a second user to the simulated phishing communication and determines that the first and second responses are corresponding, for example are the same or similar. The serving module assigns a first user to a first group of users and a second user to a second group of users and identifies a second version of the model to use for the first user and a third version of the model to use for the second user.

Abstract: 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.

Abstract: Systems and methods are described for tailoring shareable content object reference model (SCORM)-compliant content to one or more users. A learning management system (LMS), configured to be SCORM-compliant, initiates shareable content object (SCO) to provide content to users. The LMS implements an instance of application programming interface (API) comprising a plurality of functions to be called by SCO during runtime to access data model elements accessible via LMS. The LMS is configured to support one or more data model elements undefined by SCORM. Further, LMS receives a call to a function of the plurality of functions of the API from SCO to access information about users. The call references a name of a data model element undefined by SCORM. The data model element identifies information about users. The LMS provides information about the users to SCO and the SCO tailors the content to the users based on the information.

Abstract: Embodiments disclosed describe a security awareness system may adaptively learn the best design of a simulated phishing campaign to get a user to perform the requested actions, such as clicking a hyperlink or opening a file. In some implementations, the system may adapt an ongoing campaign based on user's responses to messages in the campaign, along with the system's learned awareness. The learning process implemented by the security awareness system can be trained by observing the behavior of other users in the same company, other users in the same industry, other users that share similar attributes, all other users of the system, or users that have user attributes that match criteria set by the system, or that match attributes of a subset of other users in the system.

Abstract: Methods and systems are described in which a system provides a user interface to confirm whether to review or take an action associated with an untrusted email. A driver on a device monitors the startup of any processes. Responsive to monitoring, the driver detects an application process that was created that indicates than an application was launched, and notifies a user console about the creation of the application process. The user console determines if the application process is of significance, if so, it injects a monitor library into the process. Once injected into the process, the monitor library detects if the application process receives an action of a user to access a domain that is not identified as trusted. The monitor library notifies the user console of the user's URL-access request.

Abstract: The present disclose describes systems and methods for creating a simulated phishing campaign for a user based on at least a history of the user with respect to simulated phishing campaigns. A database may be configured to store simulated phishing campaign history of a user, the simulated phishing campaign history comprising information on events associated with the user during one or more previous simulated phishing campaigns, A campaign controller may identify the simulated phishing campaign history of the user from the database, determine based at least on the simulated phishing campaign history of the user, a model from a plurality of models for creating a simulated phishing campaign directed to the user; and create, responsive to the determination, the simulated phishing campaign using the model.

Abstract: Systems and methods are described for verifying whether simulated phishing communications are allowed to pass by a security system of an email system to email account of users. The delivery verification campaign may be configured to include the selection of the one or more types of simulated phishing communications from the plurality of types of simulated phishing communications. The selected one or more types of simulated phishing communications of the delivery verification campaign may be communicated to one or more email accounts. It is determined whether or not each of the one or more types of simulated phishing communications was allowed by the security system to be received unchanged at the one or more email accounts.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: Systems and methods, disclosed herein, of a campaign controller that stores information to a database about execution of multiple simulated phishing campaigns for multiple users, where each of the simulated phishing campaigns use one or more models for communicating simulated phishing communications. Based on this information, the campaign controller may determine a rate of success of the model, in causing a user to interact with a link in one of the simulated phishing campaigns, and may display the model's rate of success via a user interface.

Abstract: 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.

Abstract: 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.

Abstract: 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.