TECHNIQUES FOR FRAUD MONITORING AND DETECTION USING APPLICATION FINGERPRINTING

Techniques for fraud monitoring and detection using application fingerprinting. As used herein, an “application fingerprint” is a signature that uniquely identifies data submitted to a software application. In an embodiment, a plurality of historical application fingerprints are stored for data previously submitted to a software application. Each historical application fingerprint is associated with one or more contexts in which its corresponding data was submitted. When new (i.e., additional) data is subsequently submitted to the application, a new application fingerprint is generated based on the new data, and the new application fingerprint is associated with one or more contexts in which the new data was submitted. The new application fingerprint is then compared with one or more historical application fingerprints that share the same, or substantially similar, context(s). Based on this comparison, a risk score is generated indicating a likelihood that the new data was submitted for a fraudulent/malicious purpose.