Abstract: Dynamically detecting abnormalities in otherwise legitimate emails containing Uniform Resource Locators (URLs) is provided. An example method includes determining one or more rules defining normal patterns in a number of sending Top-Level Domains of previously received emails received via a computer network to a user or group of users; generating a trusted trends criteria for a received email, associated with the user or the group of users, by evaluating the received email against the one or more rules; determining whether the trusted trends criteria exceeds a predetermined threshold; in response to exceeding the predetermined threshold, generating a second URL and applying it to the received email by replacing a first URL of the received email with the second URL; and redetermining the one or more rules defining normal patterns in the number of sending Top-Level Domains based on the previously received emails and the received email.

Abstract: A method for filtering unsolicited emails may comprise dynamically aggregating historical email data associated with a user or a group of users and dynamically determining one or more trusted trends criteria associated with the historical email data. The method may further comprise receiving a new email addressed to the user or the group of users, calculating a score associated with the new email based on the one or more trusted trends criteria, determining that the score is above a predetermined threshold score, and, based on the determination, selectively filtering the new email.

Abstract: Dashboards for displaying threat insight information are provided herein, as well as systems and methods for generating the same. According to some embodiments, methods for providing a threat dashboard may include locating metrics regarding a malicious attack against a targeted resource, where the metrics indicate instances where users were exposed to the malicious attack or instances where a cloud-based threat detection system prevented the user from being exposed to the malicious attack. The method may also include rendering a threat dashboard for a web browser application of a client device, where the threat dashboard includes the located metrics. In various embodiments, methods of dynamically detecting abnormalities in otherwise legitimate emails are provided. The methods may include determining and redetermining, using the one or more processors, one or more rules that define normal patterns in a number of sending Top-Level Domains of received emails.

Abstract: A method for filtering unsolicited emails may comprise dynamically aggregating historical email data associated with a user or a group of users and dynamically determining one or more trusted trends criteria associated with the historical email data. The method may further comprise receiving a new email addressed to the user or the group of users, calculating a score associated with the new email based on the one or more trusted trends criteria, determining that the score is above a predetermined threshold score, and, based on the determination, selectively filtering the new email.

Abstract: Computer implemented methods and systems for generating a brand site for an internet website is provided. The method includes defining the internet website to include a plurality of modules, and each of the plurality of modules for the internet website being directed toward a brand. Further included, is identifying one or more instance sites where content components related to the brand are presented and linking the content components, from the identified one or more instance sites, to selected ones of the plurality of modules. The method further includes presenting the plurality of modules on the internet website to promote the brand, and the presenting is configured to integrate the content components from the instance sites into the internet website, such that the presenting further enables user interactivity with the plurality of modules and the user interactivity feeds data regarding one or more of module popularity, usage or revenue generating potential.