Proofpoint, Inc.

Wombat Security Technologies, Inc.

Jason Brubaker

Norman Sadeh-Koniecpol

Kurt Wescoe

Jason I Hong

Trevor Tyler Hawthorn

Nathan Miller

Jeff Losapio

Benjamin C Blanchard

Graham Frank Smith

Hyun Chong Woo

Joshua Close

Tony Siu

Jonathan R Young

Luis E Torres

Zhongyong Wei

Feng Shi

Aspects of the disclosure relate to dynamically generating simulated attack messages configured for annotation by users as part of cybersecurity training. A computing platform may generate a simulated attack message including a plurality of elements and send the simulated attack message to an enterprise user device. Subsequently, the computing platform may receive, from the enterprise user device, user selections annotating selected elements of the plurality of elements of the simulated attack message. The computing platform may thereafter identify one or more training areas for the user based on the user selections received from the enterprise user device, generate a customized training module specific to the identified one or more training areas, and send the customized training module to the enterprise user device. Sending the customized training module to the enterprise user device may cause the enterprise user device to display the customized training module.

Prompting users to annotate simulated phishing emails in cybersecurity training

Various embodiments assess security risks of users in computing networks. In some embodiments, an interaction item is sent to an end user electronic device. When the end user interacts with the interaction item, the system collects feedback data that includes information about the user's interaction with the interaction item, as well as technical information about the electronic device. The feedback is compared to a plurality of security risk scoring metrics. Based on this comparison, a security risk score for the user with respect to a computing network.

Assessing security risks of users in a computing network

A system assesses the susceptibility of an electronic device user to a cybersecurity threat by sensing a user action with respect to the electronic device. The system maps the sensed data to a training needs model to determine whether the sensed data corresponds to a pattern associated with a threat scenario in the training needs model. When the system determines that the sensed data corresponds to a pattern associated with a threat scenario in the training needs model, identify a cybersecurity threat scenario for which the user is at risk, and use the training needs model to estimate susceptibility of the user to the cybersecurity threat scenario.

Context-aware cybersecurity training systems, apparatuses, and methods

A system assesses the susceptibility of an electronic device user to a cybersecurity threat by identifying information relating to the user of an electronic device, selecting a mock attack, and causing the mock attack to be deployed to the user so that the user receives the mock attack in the user's regular context of use of the electronic device. When a sensor detects a user action that the user has interacted with the electronic device in response to the mock attack, the system will record the sensed user action and use the sensed user action to determine the susceptibility of the user to a cybersecurity threat. In some embodiments, the lack of user action in response to a mock attack also may be used to determine the user's susceptibility to a cybersecurity threat.

Mock attack cybersecurity training system and methods

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.

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.

Context-aware training systems, apparatuses, and methods

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).

Method and system for controlling context-aware cybersecurity training

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.

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Mechanicsburg, PA, United States of America

Jason Brubaker