FINANCIAL SERVICES AND INSURANCE
Financial services and insurance firms continue to embrace big data to know their customers better, deepen their relationships, analyze their risks, and implement fraud prevention strategies. As companies take 360-degree views of customer activity and accelerate real-time sales and marketing strategies, they’re sharing highly sensitive financial and purchasing information with third parties — from business partners and service providers to contractors and suppliers — making sensitive data more vulnerable.
In the meantime, cyber criminals have targeted financial services and insurance firms with increasingly large-scale and sophisticated attacks. Despite the financial and reputational impact of these attacks — as well as increasingly stringent compliance requirements mandated by regulators — many organizations do not have adequate strategies in place to prevent breaches and keep their data safe. More than anything, firms are not managing threats from third parties or “insiders” — current or former employees and partners with privileged access to data.
The costs of security incidents for financial firms increased 24%, with big losses leading the way.
The number of financial firms reporting losses of $10 million to $19.9 million increased 141% over last year.
-PwC, The Global State of Information Security® Survey 2015
THE DATAGUISE SOLUTION:
By using Dataguise’s precise and powerful sensitive data detection, firms can pinpoint and understand their sensitive data assets automatically as it is ingested (via Flume, Sqoop, and FTP) and wherever it lives and moves inside Hadoop (agents for Cloudera, Hortonworks, MapR, Pivotal, EMR, Azure). Dataguise enables companies to de-identify sensitive data and prevent it from unauthorized access with automated format-preserving encryption.
Several of the world’s largest banks, financial services, credit card, and insurance firms rely on Dataguise to discover, protect, and audit sensitive data in database, Hadoop, and SharePoint deployments. Over the last seven years, we have developed several industry-specific features to better serve our financial services and insurance customers, including:
- Unique custom masking formats to address sophisticated protection of credit card, ABA bank routing, and account number fields so protected values maintain rules/parameters required for consistency, foreign key relationships, and analytics.
- Fast discovery sampling to quickly ascertain sensitive content in large, multi-vendor database deployments.
- Sophisticated internal RBAC, privacy and encryption, internal security services, and audit of DgSecure to ensure compliance and security review of the DgSecure implementation.
OUR SOLUTIONS IN ACTION
Franklin Templeton Investment
As one of the world’s largest asset management groups with over US$844.7 billion in assets under management (AUM), Franklin Templeton cannot afford to have its sensitive data compromised. The company uses Dataguise detection and protection for Microsoft SharePoint to ensure private data is not inadvertently exposed in the cloud.
Navy Federal Credit Union
Navy Federal Credit Union aims to be the preferred and trusted financial institution serving the military and their families, growing from seven to more than five million members since 1933. The company uses Dataguise detection in conjunction with Compuware database masking to protect the private data of its members across large, complex, multi-vendor data in Oracle, Microsoft SQL, IBM DB2, Sybase, and MySQL.
The World’s Largest Credit Card Issuer
The world’s largest credit card issuer leverages big data analytics to detect fraudulent activity and improve the purchase experience for more than 90 million credit card holders across 127 countries. The company leverages Dataguise data-centric masking solutions to create multiple tiered cluster views, ensuring automated protection at scale.
A Leading Global Credit Card Company
Repeatedly #1 on Forbes Most Admired Companies worldwide, this top credit card brand with more than 70,000,000 credit card transactions annually relies on Dataguise to detect and encrypt credit card and sensitive PII data across their global Hadoop deployment of Cloudera Enterprise.
A Leading Wealth Management Firm
As one of the leading financial services firms in America — and the world’s most valuable bank by market capitalization — this wealth management pioneer needs to ensure highly confidential client records are de-identified in its non-production database. The company uses Dataguise database masking and detection for automated security.
U.S. Government Insurance Agency
An independent U.S. Government insurance agency needs to protect all Personal Identifiable Information (PII) data that is copied and accessed in non-production Oracle systems. Dataguise detection and masking successfully uncovers sensitive data during the staging of new non-production environments, and dynamically masks sensitive data in high-performance in-database agents.