美国大学抛弃网络检测和响应签名和开源工具
公司规模
1,000+
地区
- America
国家
- United States
产品
- Cognito® Network Detection and Response (NDR) platform
技术栈
- Artificial Intelligence
- Machine Learning
- VMware
实施规模
- Enterprise-wide Deployment
影响指标
- Customer Satisfaction
- Digital Expertise
- Productivity Improvements
技术
- 分析与建模 - 机器学习
- 网络安全和隐私 - 网络安全
- 网络与连接 - 网络管理和分析软件
适用行业
- 教育
适用功能
- 商业运营
用例
- 网络安全
服务
- 数据科学服务
- 系统集成
关于客户
美国大学是位于华盛顿特区的一所私立机构，该大学支持约 60,000 名用户的网络，在任何时候都拥有超过 20,000 台设备。它还支持 700 台服务器和数百个应用程序。该大学正准备扩大其云业务，并需要增强其网络安全措施以保护其公共云、数据中心和校园网络。该大学正在使用开源工具来监控网络流量和签名以检测入侵，这两者都消耗了大量的时间和资源。
挑战
美国大学是华盛顿特区的一所私立机构，正准备扩大其云业务，并需要加强其网络安全措施以保护其公共云、数据中心和校园网络。该大学面临着两个重大的网络安全挑战，这两项挑战耗费了大量的时间和资源。第一个是使用开源工具监控网络流量，第二个是使用签名检测入侵。该大学的网络在任何给定时间都支持大约 60,000 名用户和超过 20,000 台设备，以及 700 台服务器和数百个应用程序。信息安全团队正在寻找利用人工智能并符合其目标的非开源解决方案。
解决方案
在评估了多家供应商后，美国大学选择了 Vectra® 的 Cognito® 网络检测和响应 (NDR) 平台。Cognito NDR 平台使用 AI 衍生的机器学习算法来自动检测、优先处理和响应正在进行的攻击行为，这些攻击行为对云、数据中心、IT 和 IoT 网络构成最高的业务风险。该大学在每个 VMware 服务器上部署了 Vectra 虚拟传感器，以监控服务器之间的所有流量。Cognito NDR 平台自动执行手动 Tier-1 和 Tier-2 安全任务，减少了安全分析师的工作量，使他们有更多时间专注于事件调查和威胁搜寻。该平台还与第三方安全解决方案集成并共享上下文和见解，以实现端到端威胁管理和可视性。
运营影响
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