|
The globalized environment while offering enterprises number of opportunities for business expansions and revenue generation also challenges them with risk based issues with respect to their sensitive information. The modern day enterprises though are well equipped with best of the breed technology and make use of social media, mobile and cloud technologies to increase performance and productivity, also need to take up adequate measures to protect their critical data from leakage and other risks. Although there are a number of data protection appliances deployed across the modern enterprise, risk management has today become an increasingly important activity in the business environment. Being generally of low probability but high consequence, risks can cause heavy damages to operational functions and financial standing of any enterprise. In order to protect the critical business data, enterprises have deployed data leakage prevention (DLP) tools and information rights management platform that are considered as popular methods to tackle this challenge. However, to make these tools effective for protecting vast information across a globalized business environment is not easy. The data leakage protection platforms though work on data at rest, in motion and in use, it is industry specific and requires additional effort to map it in a business context and ensure effective implementation. Enterprises should therefore take up risk management frameworks that like other management activities will help enterprises through resource allocation, planning and decision making and take data protection to a new level. With effective implementation of data protection solutions heavily dependent on the end-user, enterprises need to have in place a robust risk management framework with customized data management interface across the various business applications. Risk management system is set of elements associated with the organizational structure. The basic framework for risk management therefore should include: • Programs and activities such as performance audits, training and other risk management options that will help reduce risks. • Decision makers and top management to help take up strategic decisions, monitor operations to ensure priority settings for data protection and risk reduction. • Risk assessment, identification and implementation of controls. The data protection framework from the leading service providers, works across the entire data cycle. When deployed, this framework provides opportunities for designing of data centric policies, data classification, data flow analysis, fine tuning of data and management of consequences. Besides these the framework also includes data loss prevention tools and enterprise rights management to ensure effective protection of data across the widespread networked environment. The inclusion of automated data flow analysis and data classification tools as a part of the data protection appliances, provide enterprises a comprehensive data protection framework that not only ensures regulatory compliance but also prevents any negative impact on the business. Read more on - identity access management (IAM) system
Related Articles -
basic framework for risk management, data protection appliances, identity access management (IAM) system,
| 
