Identify Data Vulnerabilities and Mitigate Risk
The first step in enterprise data protection and data governance is to determine where sensitive data resides and how it may be vulnerable to theft and misuse. With sensitive data stored in databases, file servers, and mainframes across the enterprise, locating and classifying data can present a significant challenge.
Customer information (credit card numbers, Social Security numbers), employee information (SSNs, addresses, salary, and medical information) and operational information (financial data, IP) can reside in databases and file shares unprotected. Regulations such as PCI, GLBA, SOX and the Personal Data Privacy Act of 2007 require companies to protect data determined to be private, but most companies are unable to address this requirement because they lack the tools needed to find and classify private data. This lack of visibility into critical data leaves companies exposed to significant risks such as data theft, data breaches, and other types of unapproved data access.
Mantra Discovery helps addresses these challenges by providing insight into your organization’s data risk posture to help you determine the appropriate action to mitigate risk. Discovery uses Netezza's patent-pending technology to automatically locate databases and determine precisely where critical data resides, how it is being used and how it may be vulnerable. Whether data is at rest or in motion, Discovery can quickly locate and classify data including specific kinds of regulated data such as Social Security numbers and credit card numbers. It’s automated, accurate and it’s easy!
Mantra Discovery helps enterprises get a better handle on:
• Data location
Mantra identifies the location of all databases, tables, columns, and specific types or classes of data. This enables companies to build an inventory of data assets and locations as well as identify potential risks.
• Data classification
Mantra helps companies to classify data and apply the most appropriate polices based on the type of data. For example, a class of “confidential” can be defined as any PCI related data that includes a credit card number.
• Policy Creation
Once data is “discovered” and classified, data monitoring policies can be created. Mantra enables you to create these policies directly from the discovery reports that the system creates. Just point and click.
Mantra Discovery improves data protection and compliance initiatives by delivering detailed information on user activity and its associated risk. Discovery is easy to implement and use. It provides the insight needed to determine your enterprise’s biggest risk factors and formulate a risk mitigation strategy to address them.