Abstract: The present disclosure include an exemplary method comprising receiving a transaction history comprising transaction information associated with a plurality of transactions for an entity, wherein the transaction information involves transactions completed between employees of the entity and one or more merchants; detecting, using a machine learning algorithm, one or more leakage events associated with a transaction, the one or more leakage events comprising a first leakage event, wherein the first leakage event indicates a non-compliance of a spending rule of the entity by a participant in the transaction, wherein the one or more detected leakage events are analyzed as inputs to improve performance of the machine learning algorithm using unsupervised machine learning; and performing an analysis of a compliance level of the entity based on performing the detection of the one or more leakage events for the plurality of transactions.

Abstract: The system may be configured to perform operations including receiving a transaction history comprising transaction information associated with a plurality of transactions for an entity; analyzing transaction information associated with a transaction of the plurality of transactions; and detecting a leakage event associated with the transaction. Detecting the leakage event may comprise determining a payment method for the transaction in response to the analyzing the transaction information; and comparing the payment method to a desired payment method, wherein the leakage event is detected in response to the payment method differing from the desired payment method.

Abstract: Techniques to facilitate protection of web application components are disclosed herein. In at least one implementation, a plurality of web resources associated with a web applications is received. The plurality of web resources is processed to generate individual generalized code templates for each of the web resources by removing data constants and code formatting elements from the web resources. A set of the individual generalized code templates for each of the web resources is stored in a probabilistic data structure. A security web module comprising the probabilistic data structure having the set of the individual generalized code templates for each of the web resources stored therein is deployed to protect the web application.

Abstract: The system may be configured to perform operations including receiving a transaction history comprising transaction information associated with a plurality of transactions for an entity; analyzing transaction information associated with a transaction of the plurality of transactions; and detecting a leakage event associated with the transaction. Detecting the leakage event may comprise determining a payment method for the transaction in response to the analyzing the transaction information; and comparing the payment method to a desired payment method, wherein the leakage event is detected in response to the payment method differing from the desired payment method.