Abstract
     
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    Organizations require comprehensive contextual prioritization and automated remediation of security vulnerabilities to scale their limited human cybersecurity resources effectively. At the Zscaler event, Zenith Live, the company showcased this vision, illustrating a platform that employs large-scale data collection, contextual AI data analysis, and intelligent automated security control implementation to mitigate risk and advance toward a self-healing system.

    组织需要对安全漏洞进行全面的情境优先级排序和自动修复,以有效扩展其有限的人力网络安全资源。在Zscaler活动Zenith Live上,该公司展示了这一愿景,展示了一个利用大规模数据收集、情境人工智能数据分析和智能自动安全控制实施来降低风险并向自我修复系统迈进的平台。

    Key Highlights

    主要亮点

    47% of organizations believed that current tools aren’t effective at detecting and investigating advanced threats.1

    47% 的组织认为,当前的工具无法有效检测和调查高级威胁。1

    Zscaler extends plans for modernization of security platform on the back of cybersecurity data fabric and agentic AI capabilities.

    Zscaler 在网络安全数据结构和代理人工智能能力的支持下延长了安全平台现代化计划。

    By providing automated remediation and AI driven prioritization innovative platforms are pushing important new capabilities forward.

    通过提供自动修复和人工智能驱动的优先级排序,创新平台正在推动重要的新功能向前发展。

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