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A Policy Driven, Enterprise Approach to Data Auditing
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An expanding roster of compliance regulations is forcing enterprises to monitor what users are doing to critical stored data—all types of data, in a variety of applications. This growing need for advanced data auditing is creating a raft of new challenges, including core data center issues such as performance, scalability, and manageability.
Spurred by a data-handling epidemic of unauthorized disclosures, identity theft, and general carelessness and misuse, corporate and legislative leaders have taken action. Standards and regulations have been promulgated by state legislatures
(California SB 1386), the federal government (HIPAA, Sarbanes-Oxley), international bodies (European Privacy Directive), and vulnerable industry groups (PCI).
A combination of factors is driving the adoption of data auditing technology, including industry best practice standards, the need to solidify business trust relationships, and the evolving regulatory landscape. Despite the breadth and proliferation of data-related regulations, a careful reading of virtually any regulation reveals that if appropriate auditing technologies are applied, the regulation’s underlying requirements will be met.
In this white paper, we introduce Tizor's Mantra™ solution, the first intelligent, policy-driven enterprise approach to data auditing across the data center. Mantra tracks user activity for all stored data assets, across structured applications like databases, and unstructured applications like file servers. Mantra is real-time, it’s scalable, and it cost-effectively solves the three most pressing problems of data auditing:
- Data management—via policies, filtering, auditing, reporting, and analytics
- Data logging—via transparent, network-based monitoring that has no impact on business activity
- Data coverage that extends across the data center—with no platform or application restrictions
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