Detecção de Fraudes Internas para Todos os Usuários no Seu Sistema

Insider fraud happens when a malicious insider, whether they’re an executive, manager, employee, contractor, vendor or partner uses their access to perform intentional data misconduct for personal gain or to conduct further criminal activity. Fraudulent insider activities include data mishandling, stealing customer and client information to organize an identity crime or stealing an organization’s intellectual property.

Insider fraud affects all industries and is most prevalent in sectors that handle personal information and have high transaction rates like finance and banking, healthcare, e-commerce and charities.

It can be as simple as using a company credit card for personal purchases or as complex as stealing customers’ personally identifiable information to supply an identity theft scheme.

Insider fraud may result in financial loss, reputational damage and loss of customer trust, along with penalties and fines for failing to comply with data protection requirements.

While insider fraud detection has become increasingly difficult in today’s digital environment, anti-fraud departments and IT security can make use of modern technologies to strengthen their insider fraud detection capabilities.

Insider fraud detection entails the continuous logging, monitoring and auditing of employee actions which allow security and anti-fraud professionals to discover and investigate suspicious activities that may result in detection of fraud early on. This process can be automated with the use of AI-machine learning.