Radware, Ltd.

Kaalbi Technologies Private Limited

Sonal Lalchand Oswal

Rakesh Thatha

Neeraj Kumar Gupta

Harisankar Haridas

Mohit Rajput

Aman Rawka

A system of method of detecting bots are presented. The method includes receiving access patterns of a visitor accessing a protected web property, encoding each of the access patterns into a fixed length feature vector, determining an offline-trained model based on past data, generating an anomaly score based on the fixed length feature vector and an offline-trained model, and determining the visitor to be a bot, when the generated anomaly score associated with the visitor reaches a predetermined threshold.

System and method for detecting bots using semi-supervised deep learning techniques

A system and method for detecting bots. The method includes receiving a request to access a server, the request is being received from a client device, and responsive to the request, causing the client device to download a script code file to the client device. The script code file, when executed, collects a profile, and the profile includes a plurality of parameters. The method also includes receiving the created profile, generating a score based on the plurality of parameters to identify a bot, and initiating a mitigation action based on the identified bot.

System and method for detecting bots based on anomaly detection of JavaScript or mobile app profile information

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Bengaluru, India

Sonal Lalchand Oswal