Zscaler, Inc. announced multiple innovations to its AI Data Protection Platform that leverage the world?s largest security cloud and the power of AI. These innovations make Zscaler?s AI Data Protection platform the industry?s most comprehensive data protection solution. Protect: 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 April 2023 to January 2024, despite mounting security risks. Zscaler analyzes and harnesses knowledge from over 500 trillion data points daily across users, devices, networks, and applications. The power of AI and automation increases visibility to sensitive data everywhere, provides insightful context, and delivers closed-loop workflow automation.

The latest enhancements to Zscaler?s AI Data Protection Platform include the following: 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.