Data Protection Frameworks Creating A Vigilant Enterprise

The most valuable asset for any enterprise,regardless of the industry is its data

. Irrespective of whether the data includes an organization's operational strategy, a marketing portfolio, sales information, customer details, personal identity, healthcare history or national security, it must be safeguarded and controlled. Today as the business world moves from the post-PC era with Tablets and smartphones in the workplace, IDC estimates nearly 1.8 billion networked computers accessing the Internet.

Further, to remain competitive and build brand awareness, enterprises uses social media and networks for all aspects of its communication, performance management, sales, marketing, customer support. The post-PC era with the advent of new technology these social enterprise businesses face continuous challenges in finding solutions for their data protection issues.

Worldwide, data protection is not an optional activity related only to protecting of sensitive data. With business dealings in multiple nations and a number of regulatory laws passed by most countries, this has become mandatory as it ensures business continuity. Data protection involves three simple steps- preventing undesirable disclosure, preventing unauthorized changes and ensuring availability when required. In technical terms these are referred to as data leakage prevention, (DLP), digital information rights management and data access monitoring.

The global enterprises thus make use of data protection framework which covers the lifecycle of the data. Leading service providers have designed frameworks with tools for data classification, data flow analysis, fine-tuning, consequence management besides data loss prevention (DLP) and information rights management (IRM) and ensure effective data protection. Effective implementation of data protection frameworks ensures regulatory compliance and prevents any large impact to business due to data loss. These frameworks with a holistic but modular approach facilitates the enterprises in handling application security and data protection either as an end-to-end method or assesses, transforms and sustains data in a modular manner.

The modular approach helps to develop effective data classification strategy and policy by assessing the organization's data protection needs. After a thorough process of critical data analysis and assessment of risks, the data protection framework is designed to address issues like Cloud security and Mobility. The service providers with their project management and implementation skills ensure easy deployment of application security and data protection tools such as data leakage prevention and digital rights management tools in tune with the strategies developed.

Finally by optimizing data protection technologies , such frameworks facilitates identification of sensitive data flow within the processes, across departments and with third parties and builds a continuous vigilance and a culture of data protection within the organization

by: brianwarren

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