With every passing year, the landscape of data security becomes more crowded, more complex and, consequently, more challenging to manage.
According to an Enterprise Strategy Group (ESG) survey that polled IT decision-makers, 66 percent of respondents said IT is becoming more difficult than it was two years ago. The added challenge is attributable to the explosion of new types and sources of data that have emerged over the last few years. Similarly, when Forrester conducted its “Global Business Technographics Security Survey” last year, it found that, in addition to the ever-shifting nature of threats, 31 percent of business and IT decision-makers cited the complexity of the IT landscape as one of their biggest security challenges.
Defining Data Protection in an Age of IT Complexity
The traditional response to coping with this complexity has been for chief information security officers (CISOs) to purchase and deploy an ever-expanding arsenal of security software and hire more staff to implement those solutions. Enterprises employ as many as 80 distinct security products to meet their security needs, according to an estimate by IBM. However, this plan is not scalable in the long run. Even organizations that consider data security as mission-critical to their core business — financial services, healthcare companies and government agencies, to name a few — will ultimately face budgetary constraints when it comes to data security.
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