Abstract: Systems and methods are disclosed for monitoring, evaluating protection against, improving protection against, and simulating phishing threats. Network usage information for users of an organization can be leveraged to determine user-specific network behavior information. This user-specific network behavior information can then be leveraged to better identify incoming threats as well as generate and deploy user-specific phishing lures. Phishing simulation campaigns can be conducted, including by implementing variations in how the phishing lures are presented. Such campaigns can be scored to determine how different presentation variations perform. User-specific phishing lures can be generated using user environment information collected by an agent running on the user's device. Alerts informing users of potential threats can be dynamically updated with different presentation parameters to improve performance.

Abstract: Systems and methods are disclosed for monitoring, evaluating protection against, improving protection against, and simulating phishing threats. Network usage information for users of an organization can be leveraged to determine user-specific network behavior information. This user-specific network behavior information can then be leveraged to better identify incoming threats as well as generate and deploy user-specific phishing lures. Phishing simulation campaigns can be conducted, including by implementing variations in how the phishing lures are presented. Such campaigns can be scored to determine how different presentation variations perform. User-specific phishing lures can be generated using user environment information collected by an agent running on the user's device. Alerts informing users of potential threats can be dynamically updated with different presentation parameters to improve performance.