Problems and Challenges in Data Security Posture Management

Jan 18, 2023

Download: MP4 Video Size: 240.1MB  
Watch on YouTube

Abstract

The rise of enterprise cloud computing has brought an even greater emphasis on data. According to an analysis compiled by Statista, two zettabytes of data were created, captured, copied, and consumed globally in 2010. That figure will reach 97 zettabytes this year and 181 zettabytes by 2025. As the adoption of cloud computing continued to evolve, so did how enterprises approached securing their data. Today, enterprises find their data scattered throughout their various cloud systems, and they have lost visibility into where their sensitive data resides. The problems are about whether there are any shadow data stores that developers left abandoned? Who can access all of the enterprise data on these clouds, and are there excessive privileges? What data is at risk of being breached and falling out of regulatory compliance? Moreover, the growing complexity of cloud computing is a big part of why breached data records have risen (according to the Identity Theft Resource Center) from 16 million in 2010 to more than 155 million today. A recent survey from IDC found that 98% of organizations they queried reported at least one cloud data breach in the past 18 months. With all these challenges, cybersecurity professionals are faced with the daunting task of understanding where their organization's critical or regulated data exists across cloud platforms. The process of identifying and securing cloud data is called the Data Security Posture Management. In this talk, we will go over certain techniques for discovering, analyzing and securing data in various cloud platforms. We will then look at challenging problems that are opening up more avenues for further investigation, and research.