Zscaler's zero trust platform enhances AI tool deployment security by managing over 500 trillion security signals daily, addressing the fears of data breaches and compliance. The newly introduced AI-powered Data Security Classification can identify over 200 categories of sensitive information, improving detection while saving time. As organizations increasingly adopt AI, Zscaler enhances control over generative AI applications and extends existing Data Loss Prevention measures to better secure data usage. Additionally, AI-Powered Segmentation optimizes user-to-application workflows, enhancing security through improved app management.
The zero trust platform helps companies deploy AI tools securely by protecting data and blocking cyberattacks through more than 500 trillion security signals per day.
The new AI-powered Data Security Classification goes beyond traditional regex-based signature detection to recognize more than 200 categories of sensitive information.
Zscaler's solution for managing generative AI applications introduces improved prompt classification to see which prompts employees are using and block policy violations.
AI-Powered Segmentation offers a targeted automation engine for user-to-application segmentation, simplifying app management by factoring user identity into account.
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