An Approach to Securing Data in Hosted CRM Applications

  • Siddharth M. Pandya
  • Abhishek Srikumar
  • T. Chandrika
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 174)


Organizations which look forward to expand its customer base focus heavily on customer relations. To retain customers, it is important to ‘know the customers’ and this paves the way for Customer Relationship Management (CRM). All such organization needs the privacy of customer information that is being handled by various stakeholders. There are numerous statutory and regulatory requirements that mandate the CRM vendors, who provide hosted CRM applications, to ensure data security and data privacy.

Despite all these numerous regulations by various enforcement bodies, an assuring solution addressing the concern of various organizations to adapt the hosted CRM solution prevails. Few of the concerns are:

a. Organizations outsource security management to a third party that hosts their IT assets (loss of control).[2]

b. With multi tenancy as one of the major characteristics of cloud model, the organizations are unsure of the strength of security controls exercised. [2]

c. The lack of documented security assurance processes and procedures by the cloud providers. [2]

d. Hosting of relatively valuable assets on publicly available infrastructure increases the probability of attacks. [2]

For business organizations to move their data on the cloud, it is critical for the end users to have a reassurance on the security of the data. An effective means to achieve this is to encrypt or mask the data even before it is streamed to the cloud.

This implies that the vendors offering the hosted CRM system could also provide the technology to encrypt or mask the critical fields as an Out-Of-The-Box (OOTB) feature. While the Cloud Service Providers assure that the data in their databases comply with various statutory regulations to protect the raw data, this feature further offers to the end users the necessary empowerment to protect the data that is critical for them.


Cloud Computing Customer Relationship Management Cloud Provider Data Privacy Cloud Service Provider 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer India 2013

Authors and Affiliations

  • Siddharth M. Pandya
    • 1
  • Abhishek Srikumar
    • 1
  • T. Chandrika
    • 1
  1. 1.Infosys LimitedHyderabadIndia

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