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Zscaler can identify new and unexpected sensitive content across >200 categories and beyond traditional regex-based signature detection for granular data security posture assessment

June 5, 2025 //  by Finnovate

Zscaler, a leading cloud security provider, has introduced advanced AI security capabilities and innovative innovations to improve data security and prevent cyberattacks. These advancements address challenges such as safeguarding proprietary information and maintaining regulatory compliance. Zscaler’s platform connects users, devices, and data across distributed environments, leveraging the world’s largest inline security cloud. The AI engines deliver accurate threat detection and automated security, while the latest AI-focused solutions unify users, applications, devices, clouds, and branches, enabling seamless collaboration and precision deployment. The following solutions—showcased during Zenith Live 2025—are available for Zscaler customers to accelerate secure, AI-driven innovation:

AI-powered Data Security Classification: Zscaler’s newest AI-powered data security classification brings human-like intuition to identifying sensitive content, now including more than 200 categories, allowing advanced classifications that find new and unexpected sensitive data beyond traditional regex-based signature detection. As a result, organizations can get very granular data security posture assessment in a fraction of the time.

Enhanced Generative AI Protections with Expanded Prompt Visibility: Zscaler delivers greater visibility and control over GenAI applications, including Microsoft CoPilot, by enabling advanced prompt classification and inspection. Organizations can block prompts that violate policies and leverage existing DLP capabilities to safeguard sensitive data and ensure compliance across AI-powered workflows.

AI-Powered Segmentation: Enhancements include the first purpose-built user-to-application segmentation AI automation engine to now simplify app management, app grouping and segmentation workflows with user identity built in. This capability significantly accelerates the segmentation workflow to rapidly improve an organization’s security posture.

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