Imperva, Inc.

University of California

Joseph Moore

Itsik Mantin

Kunal Anand

Brian Anderson

Ran Rosin

Craig Burlingame

Peter Klimek

Thomas R Bewley

Christopher M Schmidt-Wetekam

Jerimiah DiMatteo

Mark Ramirez

David Zhang

Sean Summers

A method by one or more computing devices for detecting application user anomalies in audit logs of database operations performed on one or more databases. The method includes obtaining a first audit log of database operations, wherein the first audit log indicates (1) which application users of an application caused which of the database operations to be performed and (2) which functions of the application caused which of the database operations to be performed, generating, for each of the application users indicated in the first audit log, a profile of that application user that indicates which of the functions that application user is expected to touch, and detecting an anomaly in response to a determination that a second audit log indicates that an application user touched a function that is not one of the functions indicated in the profile of the application user.

Detecting behavioral anomalies in user-data access logs

A method for detecting anomalies in audit logs of database operations performed on databases. The method includes obtaining a first audit log of database operations performed on one or more databases, generating, for each of a plurality of attribute values associated with a designated attribute appearing in the first audit log, a profile of that attribute value that indicates expected attribute characteristics of one or more attributes when that attribute value is associated with the designated attribute, obtaining a second audit log of further database operations performed on the one or more databases, and detecting an anomaly responsive to a determination that a log entry in the second audit log includes an attribute value associated with the designated attribute but attributes in the log entry deviate from the expected attribute characteristics of the one or more attributes indicated by the profile of the attribute value associated with the designated attribute.

Examples and implementations of various robotic mechanisms, devices, components, systems and techniques are provided, including multimodal robotic devices and systems. For example, a multimodal robot can be configured to autonomously reconfigure between two or more primary modes of operation. Such robots may be used in a wide range of applications, including reconnaissance, exploration, search and rescue, military, sports, personal assistance, education, and entertainment and toys. Described examples of multimodal robots can be wheeled robots that use two or more drive wheels to perform various motions and operations.

Multimodal agile robots

Growing community of inventors

San Diego, CA, United States of America

Joseph Moore