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Executive Summary

Data ’ s role as a transformational business asset continues to grow . Thanks to increasing investments in application development ; modern DevOps practices ; and heightened business intelligence , analytics , and machine learning demands , nearly all businesses are accelerating data creation and usage . They are also scaling the number of locations that leverage data . This proliferation of data combined with mounting pressure to accelerate operations has led to an increase in the complexity of both IT infrastructure and IT operations .

Such factors put organizations and their infrastructures at great risk of experiencing malicious attacks , human error , and negligent behavior . Unfortunately , legacy strategies cannot adequately ensure that business operations will continue during and after these types of incidents . Companies can try to weave together capabilities in an attempt to prevent attacks and other breaches , but functional gaps , poor integration , and management complexity make meeting security objectives time-consuming and difficult .

Changing organizational mindsets from prevention to incident preparation – e . g ., implementing storage solutions with builtin cyber resilience – is key to safeguarding critical data assets and being able to quickly respond to and recover from ransomware and other cyberattacks .

Introduction

IT faces new challenges . Nearly half ( 46 %) of ESG survey respondents say IT is more complex today than it was two years ago . This increase in complexity may be the result of ongoing digital transformation initiatives ( cited by 29 %), higher data volumes ( 35 %), the rapid evolution of the cybersecurity landscape ( 37 %), and / or efforts to adhere to new data security and privacy regulations ( 32 %). �

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