Cyral:获融$11M 数据防泄漏
【200116 Venturebeat】Data breaches exposed an estimated 4.1 billion records in the first half of 2019 and cost U.S. companies more than $8 million per incident, while big breaches involving more than 50 million records cost an average $388 million. This and other alarming statistics prompted former Yahoo and Microsoft software engineer Manav Mital to cofound Cyral, which is developing a cybersecurity service that plugs into an infrastructure-as-code framework. The Redwood City, California-based startup today announced it has raised $11 million in series A funding led by Redpoint Ventures, with participation from A.Capital, Costanoa VC, Firebolt, SV Angel, and Trifecta Capital. The round follows a previously undisclosed angel investment of $4.1 million and brings the startup’s total raised to $15.1 million.
【谷歌翻译 未经校对】数据泄露估计在2019年上半年暴露了41亿条记录,每次事件给美国公司造成的损失超过800万美元,而涉及超过5000万条记录的重大泄露事件造成的平均损失为3.88亿美元。这一数据和其他令人震惊的统计数据促使前Yahoo和Microsoft软件工程师Manav Mital共同创立了Cyral,后者正在开发一种可插入基础结构即代码框架的网络安全服务。这家总部位于加利福尼亚州红木城的初创公司今天宣布,该公司已经筹集了1100万美元的A轮融资,该轮融资由Redpoint Ventures领投,A.Capital,Costanoa VC,Firebolt,SV Angel和Trifecta Capital参与了此次融资。该轮融资之前是一笔未公开的天使投资,金额为410万美元,该公司的总融资额达到了1510万美元。
“The cloud has created transparency for enterprises in the same way that the internet has created transparency for consumers,” said Mital, who serves as CEO, in a statement. “But the cloud — with microservices, containers, and serverless architectures — can make threat detection and incident response very difficult for security teams. Older, host-based approaches with agents and watchpoints are not designed for modern environments. Cyral protects at the core data layer while giving more transparency to both security and backend teams, fostering better security [and] collaboration and improving productivity.”
“云为企业创造了透明性,就像互联网为消费者创造了透明性一样,”担任首席执行官的米塔尔在一份声明中说。“但是,带有微服务,容器和无服务器架构的云使安全团队很难进行威胁检测和事件响应。具有代理和观察点的基于主机的较旧方法并非为现代环境设计。Cyral在核心数据层提供保护,同时为安全和后端团队提供更高的透明度,促进更好的安全[和]协作并提高生产力。”
Cyral — whose founding team has expertise in building databases, compilers, and proxy-based distributed services — provides a suite with an architecture supporting monitoring and policy enforcement across cloud-based and on-premises endpoints used by services, apps, and users. It offers visibility into data access and protects against data exfiltration while creating a unified layer for privilege management, ostensibly without impacting performance or the user experience.
Cyral(其创始团队在构建数据库,编译器和基于代理的分布式服务方面具有专业知识)提供了一个套件,该套件的架构支持跨服务,应用程序和用户使用的基于云和本地的端点进行监视和策略实施。它提供了对数据访问的可见性,并防止了数据泄露,同时创建了统一的特权管理层,表面上却不影响性能或用户体验。
Cyral
Under the hood, Cyral’s platform intercepts requests to endpoints by continuously examining, normalizing, and analyzing request structures for sensitive data access. It automatically generates policies to baseline normal behavior that can be manually augmented, and it alerts users to suspicious activity or blocks threats and disallows access.
在后台,Cyral的平台通过不断检查,规范化和分析敏感数据访问的请求结构来拦截对端点的请求。它会自动生成可以手动增强的基线正常行为的策略,并警告用户可疑活动或阻止威胁并禁止访问。
Cyral occupies a global cybersecurity market that’s anticipated to be worth $120 billion by 2024 — Israeli startups alone raised $6.32 billion between 2013 and 2019. The company isn’t disclosing its customer base at this time, but Canadian news publishing firm PostMedia Network confirmed that it began using Cyral’s API last year.
Cyral占据了全球网络安全市场,预计到2024年将达到1200亿美元-仅以色列初创公司在2013年至2019年就筹集了63.2亿美元。该公司目前未透露其客户群,但加拿大新闻出版公司PostMedia Network证实了这一点。去年开始使用Cyral的API。
“Anything that affects throughput matters to our business, and what we like about Cyral is that it’s lightweight and runs in parallel with the data traffic, with no impact on performance,” said senior vice president and chief information security officer Peter de Groot. “It’s also a great way to show my data is secure for audits. It proves that only the right apps are pulling the right data at the right time and with the right access.”
高级副总裁兼首席信息安全官Peter de Groot表示:“影响吞吐量的事情对我们的业务都很重要,而我们对Cyral的满意之处在于它轻巧,并且与数据流量并行运行,而不会影响性能。” “这也是证明我的数据可以安全进行审核的好方法。证明只有正确的应用程序才能在正确的时间和正确的访问权限下提取正确的数据。”
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