Public Cloud and Generative AI Drive the Need for Data Security Posture Management

The data security market is experiencing significant growth due to two main factors—cloud migration and increasing AI adoption—driving demand for data security solutions. First, organizations are shifting from traditional data centers to public cloud environments. Second, many are looking for ways to ensure that sensitive data in the cloud is protected and not accidentally accessed or used by AI models.

Organizations are changing their focus on data management. In the past, the priority was stopping sensitive data from leaving their environment. However, those using cloud and software-as-a-service (SaaS) tools now realize they don’t have a complete view of their data.

Zscaler addresses data security challenges through a comprehensive and centralized approach, targeting both data movement and storage. It does this by protecting data in motion and at rest. Zscaler has one system for all data, meaning it lets organizations define their sensitive data once and use the same definition everywhere—whether the data is on a device, in the cloud, or moving through networks.

Zscaler provides a complete view of data security by checking whether databases are encrypted, exposed to the internet, or linked to virtual machines with unpatched vulnerabilities. This end-to-end view helps organizations see their sensitive data and security measures in one place.

At the recent 2024 AWS re:Invent event, Zscaler announced a partnership with AWS to help businesses tackle a common challenge: managing their AWS accounts, particularly “shadow” accounts. These unmanaged accounts pose risks because organizations don’t know what data they contain or how it’s used. Zscaler’s solution identifies and secures them. For example, if a company has 100 AWS accounts but 50 are unmanaged, Zscaler identifies them and shows what’s stored in them—something most organizations currently lack.