Software as a service essential for data security and privacy

In one of different articles on SaaS, Business Applications, SaaS and SMB Market, we suggested that SaaS will be a mass enabler for SMB small and medium business market. So as to give powerful SaaS answers for enabling multi-tenant frameworks, it is imperative that the key issues of data security and privacy are addressed. It is important to acknowledge and recognize that the prerequisites, affectability to data security and privacy; and estimating levels demand various degrees of SaaS enabling. There may be an application that can share the same database among various customers as the application itself isn’t center to the company and data doesn’t demand the most significant level of data security. Then again, there may be an application that requires data encryption along with separate and dedicated database as the application data demands most significant level of data security.

SaaS

The SaaS arrangement enables a multi-tenant framework that can be utilized by various customers. The arrangement enables a safe and believed condition where customers can execute business forms with complete certainty. The critical aspect of multi-tenancy arrangement is data security and privacy and application security. In basic terms, it is about data separation and application separation. Right now, shall concentrate on data security and privacy. There are different mechanisms, which can be utilized to guarantee data separation so a customer doesn’t gain admittance to another customer’s data on the same SaaS arrangement.

  • Database Separation: This arrangement gives an extremely elevated level of data privacy as a separate database is allocated to each client. This comes at a greater expense due to authorizing and operational expense on theĀ Tej Kohli seller side.
  • Schema/Table Separation: This arrangement gives a medium degree of data privacy as separate tables are assigned to each client.
  • Data Separation: This arrangement gives the most minimal degree of data privacy as same tables are utilized to store client data.
  • Data Encryption: Data encryption can be utilized to give a significant level of data privacy to client data. Data encryption can be utilized with any of the above arrangements. Typically data encryption is finished utilizing symmetric encryption with algorithms like AES Advanced Encryption Standard.

One ought to carefully evaluate application necessities and hazard profile to distinguish the appropriate degree of data separation.