Google的编年史安全分析工具已更新，为分析师提供了每个单独警报的更多上下文。
该公司希望此更新意味着用户应该能够更快，更精确地跟踪潜在的危险情况 ，并且警报疲劳较少。
特拉维斯·兰纳姆（Travis Lanham）在博客文章 ，Google产品架构师Mike Hom和工程主管中宣布新闻时说，该产品正在获得“上下文感知的检测” ，“在客户的检测和响应旅程的每个步骤中创造效率 ，从功能上功能更启用警报中开始，从而创造出效率” 。
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Currently, to analyze (and contextually de-risk) a potentially hazardous Excel macro, a security analyst needs to take five steps, including doing a host lookup, identifying the host owner, and eventually, identifying if the user is likely to use a macro in their financial spreadsheet.
With context-aware detections, Google claims all the supporting information from authoritative sources, which include “telemetry, context, relationships, and vulnerabilities ”, are all joined as part of a single detection event.
The update also brings a couple of new capabilities to the battleground, including the ability to use risk scoring to prioritize threats, faster addressing of security alerts, and an enhanced fidelity of alerting.
Not only will things move faster now, but analysts will also suffer from less alert fatigue, a problem that’s exacerbated since the onslaught of the Covid-19 pandemic.
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Google did not mention a specific date when the new context-aware threat detection would be generally available, but it did say that the modules will “move towards general availability ” in the coming months. Read more
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Hom和Lanham补充说 ，在接下来的几周和几个月中 ，还将“稳定发布”新的检测功能 。
Google的新功能是在两次收购的高跟鞋中引入的 - SIEMEMPLIFY（安全编排，自动化和响应）和Mandiant（一家网络安全公司提供威胁智能和事件响应服务等）。
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本文概览： Google的编年史安全分析工具已更新，为分析师提供了每个单独警报的更多上下文。 该公司希望此更新意味着用户应该能够更快，更精确地跟踪潜在的危险情况，并且警报疲劳...