Realm.Security Rolls Out AI-Ready Security Data for the Modern SOC Ahead of RSA Conference
好的,我现在需要帮用户总结一篇文章的内容,控制在100字以内。用户要求直接写文章描述,不需要开头语。首先,我得仔细阅读文章,理解其主要内容和关键点。 文章主要讲的是Realm Data Enrichments如何在安全数据管道中注入情境智能到遥测数据中。传统上,安全分析师需要手动查找或在SIEM环境中构建 enrichment 工作流来确定可疑活动的来源,这样会延迟分析。而Realm通过在数据到达下游系统之前增强日志,添加上下文元数据,从而消除了这种延迟。 具体例子包括IP地址自动增强地理位置、ISP所有权等信息,使用MaxMind和IPinfo的数据集。这使得分析师和AI驱动的SOC代理能够更快、更准确地调查威胁。此外,Realm还与Hydrolix合作,将增强后的遥测数据流入现代安全数据湖,提供高性能的AI准备数据结构。 关键好处包括加速调查、减少计算成本和一致的数据架构。同时提到了隐私保护功能。 接下来,我需要将这些信息浓缩到100字以内。重点突出Realm的功能、带来的好处以及合作伙伴关系。确保语言简洁明了。 可能的结构:介绍Realm的功能及其带来的好处,然后提到合作伙伴Hydrolix及其带来的优势。 最后检查字数是否符合要求,并确保没有使用任何开头语。 </think> 文章介绍了Realm Data Enrichments如何通过实时注入情境智能到安全数据管道中加速威胁检测和调查。该解决方案利用地理、ISP和威胁情报等元数据增强日志,在SIEM或数据湖环境中减少手动查找和工作流程延迟。与Hydrolix的合作进一步优化了大规模安全数据分析能力,使组织能够快速响应威胁并降低存储成本。 2026-3-16 14:27:26 Author: securityboulevard.com(查看原文) 阅读量:4 收藏

Realm Data Enrichments inject contextual intelligence directly into telemetry as it flows through the security data pipeline. Security analysts are forced to perform manual lookups or build enrichment workflows inside SIEM or data lake environments to determine the source of suspicious activity. Realm eliminates that delay by augmenting logs with contextual metadata before the data reaches downstream systems.

For example, IP addresses can automatically be enriched with geographic location, ISP ownership, and network intelligence using datasets from providers such as MaxMind and IPinfo. Or an IP could be marked with threat intelligence and deliver a detection before it is queried and indexed by the SIEM to streamline detection triage. This enables both human analysts and AI-driven SOC agents to investigate threats more quickly and accurately.

Furthermore, this enriched data expands Realm’s partnership with Hydrolix, which enables this enriched telemetry to flow into modern security data lakes designed for large-scale investigation and long-term threat hunting. The joint solution provides a high-performance, AI-ready data fabric. By combining Realm’s intelligent security data engine with Hydrolix’s high-velocity real-time, global scale data platform, organizations can unlock their archival data, modernize their security telemetry pipeline, and provide the sub-second visibility required for the SOC in modern defense.

“Teaming with Realm.Security was a natural response to what our mutual customers are telling us,” said Rob Malnati, Head of Corporate Development at Hydrolix. “As enterprises disaggregate their SIEM, they need solutions that solve the two defining challenges of AI-ready security data: retaining the vast telemetry required to train and inform agents, while keeping storage and data management costs in check. Together, we address both — and we go further. SOC responders no longer have to chase root causes across siloed systems and dashboards. We deliver one view with actionable insights in seconds, so security teams can move from detection to mitigation at the speed threats demand.”

Key benefits of Realm Data Enrichments:

  • Accelerated investigations: Analysts can immediately understand where an event originated and who owns the infrastructure involved.
  • Reduced compute costs: Enriching data once in the pipeline eliminates repeated lookup queries and JOIN operations in SIEM or data lake environments.
  • Consistent data schemas: Enrichment data is appended in standardized formats, simplifying cross-tool analytics and dashboards.
  • Unlocking Restricted Data with Privacy Guard


    文章来源: https://securityboulevard.com/2026/03/realm-security-rolls-out-ai-ready-security-data-for-the-modern-soc-ahead-of-rsa-conference-2/
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