DoorDash 通过信号科学增强安全性，实现卓越的可见性和保护
技术
- 功能应用 - 计算机化维护管理系统 (CMMS)
适用行业
- 国家安全与国防
适用功能
- 维护
用例
- 交通监控
- 交通模拟
关于客户
DoorDash 是最后一英里物流平台，在美国和加拿大 1,200 多个城市运营。该平台将客户与他们最喜欢的本地和全国企业联系起来，促进各种产品的交付。由于其商业模式，DoorDash 经历了高流量和快速增长。该公司的安全团队的任务是确保其平台的安全性，随着平台规模的扩大和流量的增加，这项任务变得越来越复杂。
挑战
DoorDash 是一个最后一英里的物流平台，将客户与他们最喜欢的美国和加拿大当地和全国性企业联系起来，该平台正在经历快速增长和高流量。为了解决这个问题，他们的安全团队最初使用 Splunk 和 AWS WAF 的自制组合来阻止攻击，同时允许合法流量通过。然而，随着客户流量的扩大，团队发现 AWS WAF 需要大量的规则维护。这是一个挑战，因为它非常耗时，如果管理不当，可能会导致安全漏洞。对更高效、更有效的解决方案的需求变得显而易见。
解决方案
为了应对这一挑战，DoorDash 决定转向信号科学。该解决方案在几分钟内完成部署，并提供卓越的可见性、检测和阻止功能，没有误报。与之前需要不断维护规则的系统相比，这是一个重大改进。借助 Signal Sciences，DoorDash 能够通过 Power Rules 强化其安全态势，以阻止使用包含流量源的信号进行机器人和业务逻辑攻击。此外，Signal Sciences 还提供 API 来与自定义工具集成，进一步增强 DoorDash 管理和保护快速增长的流量的能力。
运营影响
数量效益
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