- Structured and unstructured data in-motion, at-rest, and in-use
- Data across all inline channels including Web, SaaS, Email, BYOD, and private applications in both data centers and public cloud
- Data in SaaS, IaaS/PaaS environments, endpoints, and on-premises network shares
Data protection is a top priority for all organizations that must protect intellectual property and customers’ data from malicious insiders, accidental data loss, and bad actors. The problem is compounded with the expanding threat of new shadow AI, ransomware, and increased cloud usage. According to the 2024 ThreatLabz AI Report, enterprise AI/ML transactions grew by nearly 600% from
"There is an immediate and critical need for a consolidated approach to data protection that can secure all types of data, in all locations, while streamlining security operations," said
- Natively integrated Data Security Posture Management (DSPM), engineered as a central part of Zscaler’s data protection platform that discovers, classifies, and protects sensitive data in public clouds such as AWS and Microsoft Azure.
- Context-rich GenAI App Security with user and risk correlation providing insights to risky prompts, AI app usage, and granular policy controls.
- New, real-time Email DLP for securing sensitive data across corporate email including Microsoft 365 and Google Gmail - one of the most problematic insider threat vectors.
- Additional platform enhancements including:
- Consolidated Unified SaaS Security, which integrates traditionally stand-alone technologies such as, SSPM, SaaS Supply Chain Security, Out-of-Band API CASB Security and analysis of deep user activities, to deliver a highly accurate correlation engine. This engine provides powerful, actionable insights for SaaS data, enabling proactive risk management and mitigation.
- Expanded AI Auto Data Discovery to encompass all data-at-rest locations, including Endpoint, SaaS, and Public Cloud Infrastructure. This expansion streamlines legacy data protection programs by reducing complexity and enhancing efficiency.
“Organizations are looking for more ways to extract value from the data that exists across their ecosystem, while keeping sensitive and confidential information protected. The combination of data discovery, classification and mapping provides essential context for confident enforcement of security controls while still optimizing business processes,” said
"Today’s enterprises are tasked with managing data across more platforms than ever before including devices, clouds, applications and servers. Protecting and securing this data from loss and the exponential rise in threats like ransomware is a monumental task made even more challenging when teams have limited visibility into data at rest and in motion,” said
To read more on how
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Announcing new innovations that transform Data Protection
2024 GlobeNewswire, Inc., source