Abstract: A cybersecurity training system uses lures and training actions to help train a user of an electronic device to recognize and act appropriately in situations that could compromise security. The system includes an administrator interface by which an administrator may customize a lure and/or a training action with branded content. When used in a lure, this enables the lure to appear to the user as if it were a legitimate, non-threatening action from the brand. If the user falls for the lure, the system may provide the user with cybersecurity training, which may automatically include content that is tailored for the selected brand.

Abstract: A context-aware training system senses a user action that may expose the user to a threat, such as a cybersecurity threat. The system selects a training action from a collection of available training actions and causes the training action to be delivered to the user or a group of users. The system includes an administrator interface that enables an administrator to select, customize and/or assign constraints to the training action that will be delivered to the user(s).

Abstract: A context-aware training system senses sensing a user action that may expose the user's computer to a cybersecurity threat. The system selects training action from a collection of available training actions and causes the training action to be selected to the user.

Abstract: A cybersecurity training system uses lures and training actions to help train a user of an electronic device to recognize and act appropriately in situations that could compromise security. The system includes an administrator interface by which an administrator may customize a lure and/or a training action with branded content. When used in a lure, this enables the lure to appear to the user as if it were a legitimate, non-threatening action from the brand. If the user falls for the lure, the system may provide the user with cybersecurity training, which may automatically include content that is tailored for the selected brand.

Abstract: A training system senses a user action that may expose the user to a threat, such as a cybersecurity threat. The user action may be in response to a mock attack delivered via a messaging service, a wireless communication service, a fake malware application or another device, service, system or mechanism. The system selects a training action from a collection of available training actions and causes the training action to be delivered to the user.

Abstract: A context-aware training system senses a user action that may expose the user to a threat, such as a cybersecurity threat. The system selects a training action from a collection of available training actions and causes the training action to be delivered to the user or a group of users. The system includes an administrator interface that enables an administrator to select, customize and/or assign constraints to the training action that will be delivered to the user(s).

Abstract: Various embodiments are directed to a computer implemented method for updating a policy that is enforced by a computer program. In one embodiment, a computer communicates, to a user, data regarding one or more decisions made by the program over a period of time according to a policy. Each decision is made on the particular policy in force at the time the decision is made. Policy data for the policy is stored in a machine readable format. The user feedback data indicative of feedback by the user regarding the one or more decisions is stored. The computer identifies and ranks one or more potential variations to the policy based on a score of an objective function for each potential variation. The computer communicates, to the user, one or more suggested modifications based on the ranking of the one or more potential variations to the policy. The computer modifies the policy data based on one or more selections by the user in response to the transmission of the one or more suggested modifications.

Abstract: Context-aware training systems, apparatuses and systems. The context-aware training systems, apparatuses and systems are computer-implemented and include sensing a user action and, based on a training needs model, estimating a cost or benefit to exposing the user to a training action, selecting a training action from a collection of available training actions and delivering the training action to the user if the user action indicates a need for the user to be trained and the cost or benefit to exposing the user to the training action indicates user exposure to the training action is warranted.

Abstract: Various embodiments are directed to a computer implemented method for updating a policy that is enforced by a computer program. In one embodiment, a computer communicates, to a user, data regarding one or more decisions made by the program over a period of time according to a policy. Each decision is made on the particular policy in force at the time the decision is made. Policy data for the policy is stored in a machine readable format. The user feedback data indicative of feedback by the user regarding the one or more decisions is stored. The computer identifies and ranks one or more potential variations to the policy based on a score of an objective function for each potential variation. The computer communicates, to the user, one or more suggested modifications based on the ranking of the one or more potential variations to the policy. The computer modifies the policy data based on one or more selections by the user in response to the transmission of the one or more suggested modifications.