汽车零售商通过使用 Imperva 机器人管理阻止恶意机器人来增强网站性能
技术
- 分析与建模 - 数据挖掘
- 分析与建模 - 机器人过程自动化 (RPA)
适用行业
- 汽车
- 矿业
适用功能
- 采购
用例
- 对话机器人
- 交通监控
服务
- 系统集成
- 测试与认证
关于客户
本案例研究中的客户是一家汽车零售商，经营数百家商店和网站。他们的在线平台允许客户研究和订购产品以及进行服务预约。该公司正与恶意机器人流量作斗争，这些流量导致其近 100 个网络资产频繁崩溃。尽管有多个防火墙和其他机制，但他们无法有效阻止坏机器人。该公司还在管理黑名单和白名单方面遇到了困难，这被证明是一场管理噩梦。这种情况非常严重，消耗了相当于一名全职员工 (FTE) 的精力。
挑战
这家汽车零售商经营着数百家商店和网站，面临着恶意机器人流量的重大挑战。尽管拥有多个防火墙、设备和其他阻止攻击的机制，但该公司的近 100 个网络资产经常因恶意机器人试图抓取内容而崩溃。这些机器人平均每秒提取 8,000 个页面进行竞争性数据挖掘，导致网站频繁崩溃。该公司还在管理黑名单和白名单方面遇到了困难，这被证明是一场管理噩梦。这种情况非常严重，消耗了相当于一名全职员工 (FTE) 的精力。该公司需要一种解决方案，能够智能地阻止流量，从性能角度保持相同的服务水平，与现有的复杂基础设施无缝集成，并与现有的监控工具良好配合。
解决方案
这家汽车零售商求助于 Imperva Bot Management 来解决他们的机器人问题。 Imperva 的基于云的产品易于实施和采用。该公司首先在一个低流量网站上测试了该服务，在成功试验后，他们实施了全面的试点计划。然后使用 Imperva Bot Management 过滤大约 100 个网站属性。该解决方案能够智能地阻止恶意机器人流量，同时允许合法流量通过。它还与公司现有的复杂基础设施和监控工具无缝集成。该解决方案使公司无需管理黑名单和白名单，从而节省了宝贵的时间和资源。它还将公司网站的性能提高了 25%。
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