技术
- 基础设施即服务 (IaaS) - 云数据库
- 平台即服务 (PaaS) - 应用开发平台
适用行业
- 电网
- 国家安全与国防
用例
- 篡改检测
- 交通监控
服务
- 系统集成
关于客户
Prezi 是一个基于云的演示平台,为超过 1 亿用户提供服务。该公司经历了巨大的增长,这导致需要更高效、更有效的 Web 应用程序防火墙。 Prezi 的主要目标是拥有具有企业级检测和反应功能的 WAF。他们需要一种解决方案,能够自动、可靠地检测网络流量的攻击模式,而不会造成不必要的干扰,并提供集成以获得高级见解。 Prezi 的团队需要一种易于集成到其现有基础设施中并能够满足其隐私、安全性和可用性要求的解决方案。
挑战
Prezi是一个拥有超过1亿用户的基于云的演示平台,由于其快速增长而面临着巨大的挑战。该公司正在寻求用新的 Web 应用程序防火墙 (WAF) 取代现有的劳动密集型工具,为其 Web 应用程序提供自动化、准确的保护。在此之前,Prezi使用了开源的IDS/IPS解决方案。作为一个基于云的平台,Prezi 的主要目标是拥有具有企业级检测和反应功能的 WAF。他们需要一种解决方案,能够自动、可靠地检测网络流量的攻击模式,而不会产生噪音(数百条通知来匹配 RegEX 签名),并提供集成以获得高级见解。
解决方案
Signal Sciences 通过电源规则提供特定于应用程序的保护,为 Prezi 的挑战提供了直接的解决方案。该解决方案易于集成,并在架构级别满足 Prezi 的隐私、安全性和可用性要求。 Signal Sciences 灵活的架构可以轻松融入 Prezi 的基础设施,使 Prezi 的团队能够通过 API 集成到他们的 SIEM 中,并构建更有效的监控。 Signal Sciences 的自动警报系统和过滤器帮助 Prezi 的安全和运营团队通过减少手工工作节省时间,从而提高生产力。此外,Signal Sciences 改善了安全部门和开发人员对 DoS 和 DDoS 场景的整体反应。借助 Signal Sciences,Prezi 的安全团队能够帮助开发人员在任何情况下更快地做出反应。 Power Rules 允许 Prezi 根据 HTTP 请求的任何部分触发操作,再加上与 SIEM 的集成,使他们能够设置自定义规则作为额外的检测控件,以识别特定于应用程序的可疑操作并做出反应。
运营影响
数量效益
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