CyCognito:获融$23M 数字资产管理
【200828 Venture-Med】Cybersecurity startup CyCognito today announced it has raised $23 million in funding, bringing its total raised to $53 million.
【谷歌翻译 未经校对】网络安全初创公司CyCognito今天宣布已筹集了2300万美元的资金,使其总融资额达到5300万美元。
A spokesperson told VentureBeat the funds will be used to expand CyCognito’s team and accelerate its customer acquisition efforts.
一位发言人告诉VentureBeat,这笔资金将用于扩展CyCognito的团队并加快其客户获取工作。
A majority of businesses (62%) experienced phishing and social engineering attacks in 2018, according to Cybint Solutions. That’s all the more troubling in light of the fact that only 5% of companies’ folders are properly protected and that data breaches collectively expose billions of records each year.
据Cybint Solutions称,2018年大多数企业(62%)遭受了网络钓鱼和社会工程攻击。鉴于事实是,只有5%的公司文件夹受到了适当的保护,而且数据泄露每年总计暴露数十亿条记录,这更加令人不安。
CyCognito’s solution is a bot network that performs reconnaissance to continuously scan, map, and fingerprint digital assets around the world. Using iterative analysis based on advanced statistical methods, clustering, and natural language processing and the actions of its platform’s users, CyCognito learns how to classify assets by their business context and organizational association, producing a graph that captures relationships between organizations, subsidiaries, vendors, and partners along with cloud platforms, exposed on-premises assets, and third-party systems in a way that includes discoverability and business context.
CyCognito的解决方案是一种机器人网络,可以执行侦察以连续扫描,映射和指纹识别全球数字资产。通过基于高级统计方法,聚类和自然语言处理以及平台用户操作的迭代分析,CyCognito学习如何根据资产的业务环境和组织关联对资产进行分类,从而生成图表来捕获组织,子公司,供应商,和合作伙伴以及云平台,公开的本地资产和第三方系统,其方式包括发现能力和业务环境。
CyCognito profiles things like web apps, keyword and code fragments, logos and icons, and deployed software to identify potential attack vectors. Using risk evaluation methods like authentication and misconfiguration testing, network design analysis, and data exposure spotlighting, the company’s attack simulator orchestrates assessments without affecting business operations.
CyCognito对Web应用程序,关键字和代码片段,徽标和图标以及已部署的软件进行了概述,以识别潜在的攻击媒介。该公司的攻击模拟器使用诸如身份验证和配置错误测试,网络设计分析和数据公开关注之类的风险评估方法,精心策划评估,而不会影响业务运营。
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