New Delhi: Zscaler has introduced a set of artificial intelligence-powered features designed to support enterprises in mitigating cyber threats and managing sensitive data amid growing AI adoption. The announcement was made during the company’s annual Zenith Live 2025 event. As businesses integrate AI tools into daily workflows, concerns around data protection and regulatory compliance have intensified. Zscaler’s new capabilities aim to address these concerns by strengthening visibility, control, and segmentation in increasingly complex network environments.
Focus on Data Classification and AI Use Oversight
One of the key updates includes an AI-driven data classification system that expands beyond traditional detection methods. The new system now supports more than 200 data categories, helping organizations detect sensitive content including unexpected or previously unclassified types more accurately and efficiently. Zscaler also expanded its generative AI monitoring tools, offering deeper visibility into prompts submitted to GenAI platforms like Microsoft CoPilot. Organizations can now block prompts that breach policy and use existing data loss prevention (DLP) tools to reduce risks of sensitive data exposure in AI-driven environments.
AI-Based Segmentation and Network Monitoring
The platform’s segmentation engine has been updated with automation capabilities to simplify how organizations manage user-to-application access. By integrating user identity, the new feature helps streamline security workflows and isolate critical applications more effectively. Zscaler has also enhanced its Digital Experience (ZDX) Network Intelligence to improve how network teams monitor service provider performance. The tool uses AI to correlate disruptions across ISPs and optimize routing to reduce outages and latency. It also supports proactive trend analysis, allowing organizations to detect and address connectivity issues faster, potentially lowering operational costs.
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