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Three Steps For Protecting Your Data End To End

Three Steps For Protecting Your Data End To End

Three Steps for Protecting Your Data End-to-End

  • 2Three Steps for Protecting Your Data End-to-End
  • Step 1 Identify data Step 2 Classify data Step 3 Prevent data loss Don’t bolt data protection on. Build it in. Introduction Contents A survey of compliance decision-makers showed that 95% were concerned about data- protection challenges.² Introduction Organisations have seen a massive increase in their digital footprint with hybrid work, extending well beyond the traditional office. That’s led to more data fragmentation and exfiltration – all complicated by rapid growth across a multitude of applications, devices and locations. Many workers have also switched roles in search of greater fulfilment or flexibility, and that’s added to these challenges, creating new blind spots across ever-growing data estates.¹ All these factors have CIOs and CISOs rethinking their approach to information protection. In a tracking survey of over 500 US compliance decision-makers, nearly all (95%) were concerned about data-protection challenges.²

  • 95%
  • ¹ ‘How Microsoft can help reduce insider risk during the Great Reshuffle, Alym Rayani’, Microsoft Security. February 28, 2022. ² ‘September 2021 survey of 512 US compliance decision-makers commissioned by Microsoft from Vital Findings’.

  • 4Three Steps for Protecting Your Data End-to-End
  • IT and security teams are looking for better ways to manage the entire data lifecycle, across multicloud, hybrid cloud and on-premises environments. This end-to-end approach involves three key steps: The goal of this approach? To close gaps and minimise risk without sacrificing productivity. Determine where your data lives, what kind of data it is and how it’s being used or shared Classify and label data so that you know the right policies and risk mitigation to apply Strike a balance between risk-reduction and flexibility for your people with intelligent detection and control Step 1: Identify data Step 2: Classify data Step 3: Prevent data loss

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