Data Auditing Buyer's Guide

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Data Auditing is a new form of data protection involving detailed and intelligent monitoring of how and by who stored enterprise data is being accessed. Data Auditing solves two big problems associated with stored critical data: lack of visibility into how data is accessed and data theft from the datacenter.

In this white paper, we describe the factors driving the emergence of Data Auditing and provide a “best practices” guide of what to look for in a Data Auditing solution, based on insights from security and compliance practitioners. To be effective, a Data Auditing solution must monitor sufficiently broad types of data, whether in databases, fileservers, or mainframe systems; it must be intelligent enough to analyze and detect data theft by authorized users in real time; and it must provide a high-performance, scalable, multi-purpose platform approach to solve enterprise data audit problems. Done properly, Data Auditing can substantially reduce the cost and complexity of monitoring data compliance, while reducing corporate risk exposure from data breaches.

Key Concepts Found in this White Paper

• What is data auditing
• Data auditing drivers
• What to look for in data auditing
• Data auditing benefits
• Data auditing requirements checklist

Request this White Paper