Customer Transaction Monitoring and VIP Snooping - Mutual Insurance Case Study

The Business

Our client is a privately held mutual insurance company based in the US that provides property, casualty, banking and other financial services to its customers. The client has over 10 million customers and close to 40,000 employees


Challenges

The client needed a way to be able to analyze very large data sets based off of transactional data in order to be able to detect cases of fraudulent banking transactions and data Snooping where persons with authorized access would look at customer records that they should not be looking at.


The Securonix Solution

With multiple existing technologies already deployed in the customers environment, the customer was not able to automatically detect suspicious transactions conducted on customer data. The customer was concerned about the unauthorized access to sensitive customer records and the possibility of transactions on these customers. Securonix was brought in in order to address this issue. By combining several techniques including behavior analysis, peer group analysis and policy scans, Securonix was able to rapidly alert the client’s security team to misuse/abuse of access for fraudulent transactions and snooping.


Client’s Solution Tour:

Some of the company’s key use cases include:

High Profile Customer List from Authoritative Sources

The Securonix solution was used to inventory and tagging high profile customers. Using aggregation and correlation techniques, the customer imported data from multiple sources and flagged customers that had high net worth and conducted major business transactions. Additionally, the customer marked individuals with a high public profile in the federal or commercial sector.

Fraudulent Transactions

The Securonix solution was used to analyze millions of transactions conducted daily on high profile accounts. Using behavioral analytics and peer analytics, the Securonix solution flagged suspicious transactions with high degree of outlierness from regular behavior exhibited by the accounts

Data Snooping Detection

The Securonix solution was used to correlate events between account access and phone logs. By detecting unwarranted access to customer records, the Securonix solution alerted the fraud team when a customer record was accessed without proper reason.