内容来源：https://aibusiness.com/cybersecurity/startup-focused-enterprise-ai-security-valued-1-2-billion

内容总结：

以色列网络安全初创公司Glow获1.8亿美元融资，估值达12亿美元

随着人工智能在企业设备上的使用激增，一家专注于端点安全的初创公司Glow近日走出隐身模式，宣布获得1.8亿美元A轮融资，估值达到12亿美元。

该公司由前Facebook工程副总裁Roi Tiger创立，总部位于特拉维夫和帕洛阿尔托。Tiger表示，过去一年企业设备上AI的常规使用大幅增加，导致安全团队面临大量潜在威胁。Glow通过部署专门的AI智能体，持续映射环境、实时分析风险并自动做出安全决策，实现了对安全威胁的事前预防，而非事后应对。

Glow强调，现有安全工具难以应对AI带来的新挑战，而该公司采用的新安全运营模式能够在不影响业务运行的前提下，实现企业级规模的端点防护。其AI智能体运行在Glow中央服务器上，避免了终端设备过载，从而实现实时响应。

尽管刚刚公开亮相，Glow已与医疗、零售和金融服务领域的企业客户达成合作。公司表示，将利用新资金加速在美国的业务拓展，并扩充其研发团队Glow Labs。

本轮融资由红杉资本、Cyberstarts、Greenoaks和Redpoint Ventures领投，Index Ventures、Swish Ventures、Lux Capital等机构跟投。

中文翻译：

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随着与AI相关的网络安全担忧日益加剧，该供应商已吸引到可观融资。
一家旨在保障企业在AI使用激增环境中安全运营的初创公司，从隐身模式中现身，获得了1.8亿美元融资。
这轮A轮融资中，总部位于特拉维夫和帕洛阿尔托的Glow公司估值达到12亿美元。

该公司由前Facebook工程副总裁Roi Tiger创立，自称为端点安全专家。
Tiger表示，Glow能够在混乱环境中帮助被潜在安全威胁淹没的企业发挥关键作用——根据Verizon的研究，过去一年企业设备上AI的常规使用量大幅增加。
这种急剧增长意味着许多公司的员工现在经常部署机器人、助手和智能体来执行日益复杂的任务。但与此同时，安全团队面临的问题也在加剧，因为他们难以跟上快速发展的步伐。

Glow声称现有工具无法应对这些挑战。该供应商认为，一种同样利用AI的新安全运营模式——旨在预防问题而非被动响应——才是解决之道。
“预防一直是安全领域的正确答案。但过去在不阻碍业务的前提下，它从未在企业级规模上实现过，”Tiger在一份声明中表示。“AI解决了这个问题。当我们看到AI带来的可能性时，我们就意识到端点终于能得到它本该一直拥有的保护。”

Glow的方法是部署专门的AI智能体，持续绘制环境地图，利用上下文和推理实时分析潜在风险，并自动做出决策，例如哪些软件应允许进入企业，哪些应排除在外。
该公司称，通过这种方式，潜在威胁大幅减少，但主要优势在于这一切实时发生，意味着工作中不会出现不必要的延迟。

Glow将其智能体的工作速度归功于在Glow中央服务器而非端点设备上运行，确保设备本身不会过载。
尽管Glow最近才从隐身模式中现身，但它表示已与医疗、零售和金融服务领域的企业客户达成合作，不过未透露具体名称或数量。

Glow表示将利用这笔新融资加速在美国的技术部署，并壮大在公司研究部门Glow Labs中开发软件的团队。
本轮融资由红杉资本、Cyberstarts、Greenoaks和红点投资领投，Index Ventures、Swish Ventures、Lux Capital、Operator Collective和Holly Ventures等参投。

英文来源：

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The vendor has attracted notable funding as AI-related cybersecurity concerns rise.
A startup that aims to keep enterprises secure amid soaring use of AI has emerged from stealth with $180 million in funding.
The Series A round saw Glow, based in Tel Aviv and Palo Alto, achieve a $1.2 billion valuation.
The company, founded by Roi Tiger, a former Facebook vice president of engineering, labels itself an endpoint security specialist.
Tiger says Glow can play a pivotal role in helping enterprises overwhelmed by potential security threats in a chaotic environment, where regular use of AI on corporate devices has increased dramatically over the last year, according to Verizon research.
This dramatic rise means staff at many companies are now regularly deploying bots, assistants and agents to perform ever more complex tasks. But at the same time, the problems are mounting for security teams who can’t keep up with the rapid rate of development.
Existing tools are not fit to address the challenges, Glow claims. A new security operating model -- which also uses AI -- to prevent problems rather than react to them is the answer, according to the vendor.
“Prevention was always the right answer in security. It just never worked at enterprise scale without blocking the business,” Tiger said in a statement. “AI solves that. The moment we saw what AI made possible, we knew the endpoint could finally be protected the way it always should have been.”
Glow’s approach is to deploy specialized AI agents that continuously map the environment, analyze potential risks in real time using context and reasoning, and make decisions automatically, such as which software should be allowed into a business and which should be excluded.
By doing so, the potential threat is greatly reduced, but the main benefit is that this happens in real time, meaning there are no unnecessary delays in the work being conducted, according to the company.
Glow attributes the speed of its agents’ work to running on Glow’s central servers rather than the endpoint devices, ensuring the devices themselves don’t get overloaded.
Even though Glow has only recently emerged from stealth, it says it has deals with enterprise customers in the healthcare, retail, and financial services sectors, although it has not revealed names or numbers.
Glow said it will use the new funding to accelerate deployment of the technology in the U.S and bolster the team developing the software at Glow Labs, the company’s research arm.
The funding round was led by Sequoia, Cyberstarts, Greenoaks, and Redpoint Ventures, with Index Ventures, Swish Ventures, Lux Capital, Operator Collective, and Holly Ventures among the other participants.