Data Protection Solutions For The Modern Technology Landscape

With all information going digital today, business enterprises need to take adequate measures to protect their all important data and information

. Data loss, data unavailability and data corruption which leads to disruption in business continuity has adverse economic impacts on the organization.

Digital data protection solutions may not sound particularly challenging for organizations , but is one of the major pain points. However, with the present technological scenario, data protection solutions are not limited to just managing data backup and extra copies. The larger the enterprise, wider the network of the organization, greater is the amount of data stored and transferred electronically that needs to be safeguarded.

Data protection today is a complex affair. Based on the fundamental aspects of data protection, technology has provided enterprises with a number of data copy techniques. However, with no-one-size-fits-all option, enterprises need to make an optimal choice of the data-copy solutions directly corresponding to the value of the data. Further, the vastness of the digital data, the frequent changes and lack of governance makes backups difficult and expensive.

In the recent technological landscape, data needs to be protected from cyber criminals and fraudsters with malicious acts leading to data and identity thefts , system failures, network issues, apart from accidental and intentional human errors, natural disasters, corrupted software etc all resulting in loss of brand reputation besides financial loss. Thus enterprises today need to comply with the regulations set up by the Data Protection Act of 1998 act.

Understanding the major causes of data loss, the leading service providers and IT giants have worked out risk management frameworks with advanced data protection solutions. These solutions that work in a three-phased manner includes:

1. Strategy and Design phase focuses on evaluating the data protection requirements and set up an efficient data classification plan. By analyzing the critical data, from creation to sharing modes, assessing risks, the data protection framework addresses both existing and emerging trends.

2. Control and Integration phase helps the enterprise to implement the correct data protection and security technologies such as digital rights management, data leakage prevention, database access monitoring tools. The technical deployment and project management expertise of the service provider ensures to efficient execution of the data protection solutions.

3. Sustenance and Optimization phase facilitates enterprises to optimize and fine tune the technology execution resulting in better alignment with business data movement, minimization of losses while deploying a robust incident and information risk management framework.

Data protection solution providing an end-to-end vigilance that will ensure complete data protection structure across the information lifecycle. Such modular and holistic approach will help enterprises to evaluate, sustain and transform data protection methods.

by: brianwarren

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