Helios Data Inc.

Fei Zou

Yi Sun

Tao Su

Huiyu Zhang

Fenghua Zong

Techniques are disclosed relating to sharing data. A first computer system may receive data shared by a second computer system to permit the first computer system to perform processing of the data according to a set of policies. The first computer system may instantiate a verification environment in which to process the shared data. The first computer system may process a portion of the shared data by executing a set of processing routines to generate a result based on the shared data. The verification environment may verify whether the result is in accordance with the set of policies. The verification environment may determine whether to output the result based on the verifying and may send an indication of an outcome of the determining to the second computer system. The indication may be usable to determine whether to provide the first computer system with continued access to the shared data.

Data sharing architecture

Techniques are disclosed relating to data discovery. A control program that is executing on a computer system may receiving a request to locate instances of data on a computer network having a plurality of computer systems that are managed by an orchestration program. The control program may perform multiple, limited-time-period deployments of a sniffer program to different portions of the computer network in order to sample network traffic from the different portions to determine whether instances of the data appear in the network traffic. The control program may receive, from the sniffer program, information that identifies one or more of the different portions of the computer network whose network traffic included instances of the data.

Dynamic network traffic sniffer

Techniques are disclosed relating to the management of data. A data provider computer system may store particular data of a user. The data provider computer system may commence sharing of a portion of the particular data with a data consumer computer system. The data provider computer system may continue sharing additional portions of the particular data with the data consumer computer system in response to receiving a report from a verification environment indicating that the particular data is being utilized by the data consumer computer system in accordance with a specified usage policy.

Data management platform

Techniques are disclosed relating to data management. A computer system may evaluate network traffic to extract and group data objects based on their content satisfying similarity criteria, and to identify baseline behavior with respect to those data objects. The computer system may generate data-defined network (DDN) data structures that include a content class and one or more behavioral classes. The content class may be indicative of one or more of the data objects that have been grouped based on them satisfying the similarity criteria. The one or more behavioral classes may indicate baseline behavior of those data objects within the content class as determined from evaluation of the network traffic. The computer system may detect, using the DDN data structures, anomalous data behavior within network traffic. In response to detecting anomalous data behavior, the computer system may prevent network traffic corresponding to the anomalous data behavior from being communicated.

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Menlo Park, CA, United States of America

Fei Zou