提高交易大厅通信的透明度可帮助该银行节省 700 万美元的预计调查成本
公司规模
Large Corporate
地区
- Europe
国家
- France
产品
- Forcepoint Behavioral Analytics
技术栈
- Natural Language Processing
实施规模
- Enterprise-wide Deployment
影响指标
- Cost Savings
技术
- 分析与建模 - 大数据分析
适用行业
- 金融与保险
适用功能
- 商业运营
用例
- 监管合规监控
- 欺诈识别
服务
- 数据科学服务
关于客户
客户是一家国际银行集团，业务遍及 70 多个国家。除了零售业务外，它还是一家全球领先的投资银行。该银行在受到严格监管的投资银行业中运营，Skype 和 WhatsApp 等新通信渠道以及 Investopedia 等网络论坛正在增加广泛滥用的风险，无论是通过内幕交易、欺诈还是泄露敏感的公司信息。该银行的运营和合规领导层认识到需要一种更好的方式来密切关注交易员的对话并保护交易大厅。
挑战
在监管严格的投资银行业，Skype 和 WhatsApp 等新通信渠道以及 Investopedia 等网络论坛增加了大规模滥用的风险，无论是通过内幕交易、欺诈还是泄露敏感的公司信息。该银行的运营和合规领导层知道他们需要一种更好的方式来密切关注交易员的对话并保护交易大厅。该银行的监控技术已经过时，需要大量人工干预才能识别和调查潜在的合规问题。由于基本上只有一个电子邮件归档系统，调查人员必须建立表明内幕交易活动的单词列表，并在档案中进行手动搜索以建立案件。
解决方案
该银行领导层邀请 Forcepoint 与他们合作，共同构建更强大、更有效的合规计划。实施了 Forcepoint 行为分析，它收集旧电子邮件数据以及其他电子通信数据，如 Skype 聊天、彭博终端等，可以分析这些数据源以寻找内幕交易活动的潜在指标。通过自然语言处理来分析非结构化数据（如电子邮件和聊天消息的内容），该银行可以监控其交易员发送和接收的所有信息。当所有这些数据源都经过汇编和分析后，一幅非常清晰的行为和背景图就开始显现出来。
运营影响
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