The problem with Fraud detection…
Calculating the cost of fraud is a fairly futile undertaking.
One estimate, from a 2012 report by the Association of Certified Fraud Examiners, puts global fraud losses at $3.5 trillion each year. The reality, though, is that nobody really knows the impact of fraud. Its deceptive nature means much of it passes beneath the radar and is never fully detected.
Over the past decade, the financial services industry has invested heavily in using ‘big data’ and data analytics in their fight against fraudsters. Automated systems scan and score every transaction, claim and policy to detect anomalies and uncover potential cases of fraud.
Although this process is infinitely more secure and robust than previous methods, the data-driven approach is resource-intensive and contains many weaknesses for fraudsters to exploit.
Our latest white paper shows how sophisticated network visualization can be deployed as part of a fraud detection platform, creating more efficient processes and a more effective fraud management effort.
Detecting Fraud with Network Visualization
Using real use cases from KeyLines customers, this white paper shows how network visualization can be used as part of a wider fraud management effort to increase efficiency and effectiveness.