Guavus, Inc.

Atul Saraf

Jaskaran Singh Bawa

Bijay Singh Bisht

Anand Vivek Srivastava

Sumanta Kumar Bhowmik

Pankaj Kumar

Ankit Bhardwaj

A system and method for detecting unauthorized access to a plurality of network assets is described. The system and method receive a network asset feed from a plurality of data sources and then generating at least one social graph with the network asset feed. User communities are identified with the social graph and user accounts are associated with user communities. Commonly accessed network assets are identified from a firewall log, a router log or the combination thereof. A derived community is identified based on the user accounts associated with commonly accessed network assets. The systems and methods monitor communications associated with the user community so that the communications correspond to the derived community, and then reports an anomalous communication when the user community communications do not correspond to the derived community.

Anomaly detection associated with communities

Representative embodiments of a distributed processing method of facilitating interactive analytics of streaming data records by receiving the data records at a plurality of distributed computational nodes, establishing and storing dimensions corresponding to attributes of the data records, parsing the streaming data records to identify matches to at least one of the dimensions and based thereon, reducing the number of data records to create a targeted subset of the data, re-distributing the targeted subsets of the streaming data records among the distributed computational nodes in accordance with the dimensions stored on the nodes, updating a database storing measures of the dimensions in accordance with the targeted subsets of the streaming data records, and using the database to respond to a query based on measures associated with one or more of the dimensions.

Distributed processing of streaming data records

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Noida, India

Atul Saraf