Multi-Cloud Data Security Platform with DSPM and DDR

  • Headquartered In: USA
  • Company Size: 1,000+ Employees
  • Industries: Finance, Insurance and Retail
  • Titles: IT Security, Enterprise Solution Architecture, Information Security Manager, Risk and Compliance, Data Privacy, Data Protection, Data Solution Architecture, Cyber Threat Intelligence, Risk and Operations
  • Job Level: Influencers and Decision Makers

Cloud environments and the data within them are growing at a pace faster than ever before. This leads to gaps in cloud data security, with security teams unable to keep up with the speed of adoption and innovation. Data breaches, seen daily in the news, are a result of those gaps, causing business damage and large fines (average of $5M according to IBM).

With cloud data being an increasingly lucrative target for cyber attacks, there’s a growing need for a tool that discovers, classifies, monitors, and protects all cloud data in organizational environments – this is where a DSPM (Data Security Posture Management) comes in.

DSPM helps security teams gain full visibility into the data in the cloud environment, no matter where it’s stored. It also classifies the data, making the organization aware of the sensitive data it holds and allowing for correct prioritization of security operations – making every move the security team makes count. DSPMs automatically generate and prioritize cloud data risks, providing the security team with a playbook to tackle cloud data issues head on.

Top reasons our community cites for adopting or considering this solution:

  • Difficulty discovering all cloud data across clouds, deployment types, and services.
  • Challenges classifying structured, semi-structured and unstructured data consistently and efficiently. 
  • Hard to keep track of shadow data, especially shadow backups that contain sensitive data and regulated data accessible to the world.
  • Lack of data owners in the data security motion, leading to limited accountability by the business units.
  • Fear of data misuse, data exfiltration and compliance breaches of data hosted in the cloud and the lack of ability to detect and respond to it with existing toolsets. 
  • Struggle to stay on top of cloud innovation, leading to an outdated understanding of the data attack surface.
  • Environments grow at a pace that isn’t manageable for security teams without automated data security tools.

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