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Shinola Enhances Security Visibility with Signal Sciences for Rapid Retail DevOps
技术
- 网络安全和隐私 - 应用安全
适用行业
- 电子商务
- 零售
适用功能
- 产品研发
- 质量保证
用例
- 供应链可见性(SCV)
- 篡改检测
服务
- 测试与认证
挑战
Shinola 是一家致力于生产高品质、美国制造的产品的公司,运营着一个电子商务网站,在销售旺季期间流量较高。他们希望提高对应用层攻击和异常的安全意识。该公司需要一种 Web 应用程序安全技术,既可以提高可见性,又不会破坏在快节奏的零售市场中保持领先地位所需的快速部署模型。他们需要改进安全状况,同时使整个企业的安全共同责任民主化。 Shinola 的 DevOps 团队希望主动分发安全数据,以增强其整体安全运营。他们需要一种 Web 应用程序安全技术,能够降低效率,同时确保所有应用程序的安全性。
关于客户
Shinola 是一家致力于生产高品质美国制造产品的公司,包括手表、自行车、皮革制品和期刊。他们经营一个电子商务网站,在销售旺季期间流量较高。电子商务是其业务的主要组成部分,他们需要改进安全状况,同时使整个企业的安全共同责任民主化。 Shinola 的 DevOps 团队希望主动分发安全数据,以增强其整体安全运营。
解决方案
Shinola 要求 Signal Sciences 将安全性嵌入到他们的开发过程中。他们希望提高 Web 应用程序(从测试到生产)的可见性。 Signal Sciences 与他们的基础设施合作,使他们能够改善应用程序的安全状况,而无需额外的开销。 Shinola 需要一个能够集成到他们的 DevOps 工作流程中而不是破坏它的安全合作伙伴。 Signal Sciences 通过与云无关的架构以及与自动化工具的广泛集成,无缝集成到 Shinola 的开发组织中。这使得 Shinola 的开发团队能够继续快速构建软件,无论其基础设施和云策略如何。信号科学有助于为整个组织提供更好的安全决策。每当出现安全活动(包括增加的攻击或异常)时,Shinola 的 DevOps 团队都可以轻松地与工程组织和执行团队共享 Signal Sciences Console 和“每周回顾”安全报告。 Signal Sciences 为 Shinola 的开发团队提供了即时可见性和可操作的信息。他们现在能够使用 Power Rules 检测并阻止潜在的攻击和欺诈登录。
运营影响
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