Audit Risk And Compliance in PHP

Risk regulations and compliance management require business controls automation. Business processes execution yield event logs and analysis of these logs can produce valuable knowledge for organizational product and/or service improvements. In this paper we have explored a monitoring scenario of shipment request and evaluated it on the basis of Smart auditing framework. A combination of process mining techniques and business process ontologies is evaluated on simulated data in order to identify the auditing/monitoring capability of PROM plug-in's. The initial evaluation revealed that rule based audit is successful on machine-crafted data in PROM tool. Moreover, this paper also highlights lack of automated rule translation in LTL-checker (PROM plug-in) for smart audit frameworks evaluations.