Automated security testing system and method

    公开(公告)号:US11962610B2

    公开(公告)日:2024-04-16

    申请号:US16978552

    申请日:2019-03-05

    申请人: EZOTECH INC.

    发明人: Michael Picard

    摘要: Systems and methods for network security testing of target computer networks using AI neural networks. A command and control server controls a number of geographically separated processors running a number of neural networks. A central data hive is accessible to all the processors. The processors are organizable into logical hemisphere groupings for specific tasks and/or projects. For security testing, hemisphere groupings are created for the project. Based on data for the target system on the data hive, attacks are formulated by a hemisphere grouping and these potential attacks are tested against known characteristics of the target network. Validated potential attacks and, in some cases, random attacks, are executed and data generated by the executed attacks are stored in the data hive for use in formulating and executing other further attacks. Potential attacks may involve mining social media networks for data on users of the target system.

    Application programming interface for rendering personalized related content to third party applications

    公开(公告)号:US11539805B2

    公开(公告)日:2022-12-27

    申请号:US16888947

    申请日:2020-06-01

    申请人: Google LLC

    摘要: A system includes an ingestion component configured to receive a request from an entity for content related to a content item and a user identity. The request has a content identifier representative of the content item and a token. A request processing component of the system is configured to access a database associated with the system and identify the content item and the user identity using the content identifier and the token, wherein the database has information associating the token with the user identity and associating the content identifier with the content item. In response to identification of the content item and the user identity, the request processing component directs a recommendation engine associated with the system to identify the content related to the content item and the user identity. Information identifying the content related to the content item and the user identity is then transmitted back to the entity.