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Not too long ago, many security experts believed that the best way to defend data was to apply the strongest possible technological protections to all of the data, all of the time. While that plan may work perfectly in theory, in the real world of business this model creates unacceptable costs, performance and availability problems.
What works from both IT and management standpoints? Risk-adjusted data security. Protecting data according to risk enables organizations to determine their most significant security exposures, target their budgets towards addressing the most critical issues, strengthen their security and compliance profile, and achieve the right balance between business needs and security demands.
Other issues that risk-adjusted security addresses are the unnecessary expenses, availability problems and system performance lags that result when data is over-protected. And cloud-based technologies, mobile devices and the distributed enterprise require a risk-mitigation approach to security, focused on securing mission critical data, rather than the now-unachievable ‘protect all the data at all costs’ model of years past.
Here’s how to develop and deploy a risk-adjusted data protection plan