Description
Wells Fargo Bank has notified two of its customers that their personal information was compromised. Although this incident affected the data of only two individual account holders, its severity for those involved is as significant as a breach affecting millions. Wells Fargo, one of the largest banks in the United States with 70 million customers globally has clarified that the compromise was not the result of a cyberattack or breach within its data systems. Instead, it occurred due to an employee who breached company policy by sending information to his personal account. The bank has issued breach notification letters to the affected customers, addressing the incident directly.
Actions Taken
Although specific details were not disclosed, Wells Fargo has confirmed that the employee responsible for the data breach has been terminated and is no longer with the bank. In the breach notification letters sent to the affected customers, the bank has stated that it is actively taking steps to monitor their accounts for any suspicious activity or changes. Additionally, Wells Fargo is continually evaluating and updating its security protocols to minimize the likelihood of similar incidents occurring in the future.
Prevention
Merely having a policy on how employees should handle sensitive information within an organization is not sufficient. Although the exact method of data transfer in this incident is unclear, a Data Loss Prevention (DLP) solution could effectively monitor and control any attempts to email or transfer data through other methods. DLP systems enforce rules that prevent the transmission of sensitive data outside the network or through unsecured channels. These solutions are context-aware and can recognize sensitive information like bank account numbers or social security numbers. These tools can understand how data is being used or moved, allowing them to detect unauthorized attempts to access or transmit data based on a user’s role, location, time of access, and data classification.
Behavior analytics can significantly enhance security by analyzing deviations from established patterns of normal behavior. If such a system had observed the employee attempting to send sensitive data to a personal account (an action outside their normal behavior) it could have immediately halted this attempt and alerted the security team. This proactive response can prevent data breaches through the detection of unusual behaviors like a sudden increase in data transfers or activity from an employee who does not usually handle customer data. Integrating Data Loss Prevention (DLP) with User Behavior Analytics could have potentially averted this incident by proactively detecting and blocking the unauthorized transfer attempt.
