Exabeam：获融$75M AI驱动SIEM革新

【190507 SDxCentral】Exabeam closed a $75 million Series E funding round, bringing its total haul to $190 million in its quest to edge out other security information and event management (SIEM) vendors such as IBM, McAfee, RSA, and Splunk.

Exabeam完成了一项7500万美元的E轮融资，使其总融资达到1.9亿美元，以寻求超越其他安全信息和事件管理（SIEM）供应商，如IBM，McAfee，RSA和Splunk。

“We invest a lot more in innovation versus those companies,” said Exabeam CEO Nir Polak.

Exabeam首席执行官Nir Polak表示，“与那些公司相比，我们在创新上投入了更多。”

New investor Sapphire Ventures and existing investor Lightspeed Venture Partners led the round with other existing investors participating. In addition to developing new product features and configurations, Exbeam will use the Series E to expand its sales reach. “And also we’re looking to do things as we grow that are not just organic moves,” Polak said. This includes mergers and acquisitions.

新投资者Sapphire Ventures和现有投资者Lightspeed Venture Partners领先于其他现有投资者参与其中。除了开发新产品功能和配置外，Exbeam还将使用E系列来扩大其销售范围。 “而且我们也希望在我们成长的过程中做一些不仅仅是有机动作的事情，”波拉克说。这包括合并和收购。

“We’re kicking ass in the market continuing to displace the legacy vendors,” he added, naming the aforementioned companies as well as LogRhythm and Micro Focus. “When we go head to head with them in replacement deals, we win 72% of the time.”

他补充说：“我们正在市场上继续推动替代传统供应商，”他补充道，并指出上述公司以及LogRhythm和Micro Focus。 “当我们与他们进行替换交易时，我们赢得了72％的时间。”

Additionally, during the last fiscal year, 76% of Exabeam’s replacement deals eliminated these and other legacy vendors, Polak said. And the company’s average deal size has grown by 100% from two years ago. “These are really good indicators that we have the right go to market,” he said.

此外，在上一财政年度，76％的Exabeam替代交易消除了这些和其他传统供应商，Polak说。该公司的平均交易规模比两年前增长了100％。 “这些都是我们有权进入市场的好指标，”他说。

The startup points to NTT Data as one example of a global deployment where Exabeam displaced multiple legacy SIEMs, and the company standardized on Exabeam going forward. Other customers include Levi Strauss & Co, ADP, Hulu, and Safeway.

该创业公司将NTT Data作为全球部署的一个例子，其中Exabeam取代了多个传统的SIEM，并且该公司将Exabeam标准化。其他客户包括Levi Strauss＆Co，ADP，Hulu和Safeway。

Security Is a Big Data Problem

Exabeam, launched in 2013, has its headquarters in San Mateo, California. Last week it opened an East Coast office in Atlanta.

Exabeam于2013年推出，总部位于加利福尼亚州圣马特奥市。上周，它在亚特兰大开设了东海岸办事处。

Its platform collects unlimited amounts of data and uses machine learning-powered behavioral analytics to detect threats, in on-premises data centers and the cloud, as well as across IoT and other devices.

其平台收集无限量的数据，并使用机器学习驱动的行为分析来检测本地数据中心和云中的威胁，以及物联网和其他设备中的威胁。

The idea here is to use machine learning (ML) to detect anomalous behavior so that humans — security operations centers (SOC) analysts — don’t need to manually analyze data logs and can instead spend their time responding to security threats.

这里的想法是使用机器学习（ML）来检测异常行为，以便人类 - 安全运营中心（SOC）分析师 - 不需要手动分析数据日志，而是可以花时间来应对安全威胁。

Additionally, Exabeam uses a flat, user-based pricing model, which Polak says is another differentiator.

此外，Exabeam使用基于用户的扁平定价模型，Polak说这是另一个差异化因素。

“Today security is a big data problem with IoT and the fact that there is no perimeter,” Polak said. “All those players I talked about, they all started way before big data and they built a quasi-big data database. And they monetize on that.”

“今天安全是物联网的一个大数据问题，而且没有外围，”波拉克说。 “我谈过的所有玩家，他们都在大数据之前开始了，他们建立了一个准大数据库。他们在那里货币化。“

These other SIEM products still need humans to do the same kind of threat hunting that Exabeam uses ML and data analytics to perform, he added. “Today the biggest problem in security is the shortage of talent and skill. Our proposition is: log as much data as you can, and machine learning automatically detects threats in that data and automatically responds to it, closing that skills gap.”

他补充说，这些其他SIEM产品仍然需要人类进行Exabeam使用ML和数据分析执行的同类威胁搜索。 “今天，安全方面最大的问题是人才和技能的短缺。我们的主张是：记录尽可能多的数据，机器学习自动检测数据中的威胁并自动响应，缩小技能差距。“

IPO Still on the Table

Exabeam used its $50 million Series D to develop its software-as-a-service (SaaS) product, Exabeam SaaS Cloud, which launched and was purchased by its first customer in the first quarter of this year. The company also expanded its sales team and partner program, which has more than 350 software and services vendors representing integrations with nearly 2,500 unique data sources and APIs.

Exabeam使用其5000万美元的D系列来开发其软件即服务（SaaS）产品Exabeam SaaS Cloud，该产品已于今年第一季度推出并由其第一位客户购买。该公司还扩展了其销售团队和合作伙伴计划，该计划拥有350多家软件和服务供应商，代表着近2500个独特数据源和API的集成。

At the time of its Series D, Exabeam Chief Marketing Officer Tim Matthews said the startup was looking to go public “in the next six to nine months.”

在D系列展会上，Exabeam首席营销官Tim Matthews表示，创业公司希望“在未来六到九个月内上市”。

The company is targeting an initial public offering (IPO) “in the 2020 range” Polak said, “but it really depends on the market.” In the meantime, it will continue to grow and prepare to go public. To that end Exabeam recently hired its first chief financial officer, Manish Sarin from Proofpoint. “He’s leading the effort to make sure we’re preparing directly for not only the IPO but also the day after,” Polak said.

Polak表示，该公司的目标是“在2020年范围内进行首次公开募股（IPO）”，“但这实际上取决于市场。”与此同时，它将继续增长并准备上市。为此，Exabeam最近从Proofpoint聘请了第一位首席财务官Manish Sarin。 “他正在努力确保我们不仅直接为IPO做准备，而且还要在第二天做好准备，”波拉克说。

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