Abstract: Methods and systems provided herein include a cyber intelligence system, a unified application firewall, and a cloud security fabric that has enterprise APIs for connecting to the information technology infrastructure of an enterprise, developer APIs 102 for enabling developers to access capabilities of the fabric and connector APIs by which the fabric may discover information about entities relevant to the information security of the enterprise (such as events involving users, applications, and data of the enterprise occurring on a plurality of cloud-enabled platforms, including PaaS/IaaS platforms), with various modules that comprise services deployed in the cloud security fabric, such as a selective encryption module, a policy creation and automation module, a content classification as a service module, and user and entity behavior analytics modules.

Abstract: Methods and systems provided herein include a cyber intelligence system, a unified application firewall, and a cloud security fabric that has enterprise APIs for connecting to the information technology infrastructure of an enterprise, developer APIs 102 for enabling developers to access capabilities of the fabric and connector APIs by which the fabric may discover information about entities relevant to the information security of the enterprise (such as events involving users, applications, and data of the enterprise occurring on a plurality of cloud-enabled platforms, including PaaS/IaaS platforms), with various modules that comprise services deployed in the cloud security fabric, such as a selective encryption module, a policy creation and automation module, a content classification as a service module, and user and entity behavior analytics modules.

Abstract: A relationship model system automatically recognizes relationships among data in a local IT environment. Such data may be derived from multiple sources, such as multiple devices and/or software applications of different types. Such data are collected automatically, remotely, and transparently from the local IT environment. Relationships among the data are recognized automatically by correlating data from the multiple sources. Records of such relationships are stored remotely in a relationship model. The system may draw conclusions based on the recognized relationships and take actions in response to those conclusions.

Abstract: A relationship model system automatically recognizes relationships among data in a local IT environment. Such data may be derived from multiple sources, such as multiple devices and/or software applications of different types. Such data are collected automatically, remotely, and transparently from the local IT environment. Relationships among the data are recognized automatically by correlating data from the multiple sources. Records of such relationships are stored remotely in a relationship model. The system may draw conclusions based on the recognized relationships and take actions in response to those conclusions.