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Three Tips For Comprehensive Data Security

Three Tips For Comprehensive Data Security

Three Tips for Comprehensive Data Security 2Three Tips for Comprehensive Data Security Contents Introduction 3 Tip 1: Discover and protect sensitive data 5 Tip 2: Understand user context and detect critical risks 7 Tip 3: Prevent data loss 9 Conclusion 11 Three Tips for Comprehensive Data Security 3 Introduction Data is a driving force for modern organisations. Its contributions to operations, innovation and forward momentum are immeasurable, and its obvious value makes it a top priority for security teams, which must keep it safe from cyberthreats and insider incidents. Safeguarding sensitive information, spanning from employee and customer data to intellectual property, financial projections and operational records, against an array of cyber threats, data breaches and insider risks, is a top priority for CIOs and CISOs around the globe. In fact, of more than 800 data security professionals recently polled in a multi-national survey1, the vast majority (89%) consider their data security posture critical to their overall success. IT and security teams are looking for better ways to manage the entire data lifecycle, across multicloud, hybrid cloud and on-premises environments, especially since years of point solutions have left critical gaps.

  • 89%
  • Of surveyed data security professionals say data security posture is critical to their business success.

  • 1 ‘Microsoft Data Security
  • strategies to secure data‘, October 2023. Three Tips for Comprehensive Data Security 4 This paper shows how an end-to-end approach can help. That approach involves three key tips: Tip 1: Discover and protect sensitive data: Determine where your data lives, what kind of data it is and how it’s being used or shared. Tip 2: Understand user context and detect critical risks: Detect critical risk around data, highlighting the importance of insider risk management. Tip 3: Prevent data loss: Leverage data loss prevention (DLP) solutions and Adaptive Protection, to dynamically enforce effective policies. The goal of this approach? To provide the kind of comprehensive data security that protects data with a multi-layered approach, minimising risk without sacrificing productivity.

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