DZ BANK 使用人工智能网络攻击检测实现无需窥探即可提供保护
公司规模
Large Corporate
地区
- Europe
- America
- Asia
国家
- Germany
- United States
产品
- Cognito® cyberattack-detection and threat-hunting platform
- Vectra Threat Certainty Index™
技术栈
- AI-driven network traffic analysis
- Data science
- Machine learning
- Behavioral analytics
实施规模
- Enterprise-wide Deployment
影响指标
- Cost Savings
- Productivity Improvements
- Customer Satisfaction
- Digital Expertise
技术
- 网络安全和隐私 - 网络安全
- 分析与建模 - 机器学习
- 分析与建模 - 实时分析
适用行业
- 金融与保险
适用功能
- 商业运营
- 人力资源
用例
- 网络安全
- 欺诈识别
- 入侵检测系统
服务
- 网络安全服务
- 数据科学服务
关于客户
DZ BANK 是德国资产规模第二大的银行，2017 年资产达 5060 亿欧元。它是德国 900 多家合作银行的中央机构。这些合作银行为德国众多中小企业提供服务。作为这些企业的中央信贷机构，DZ BANK 加强了这些企业的业务，并为其提供了进入资本市场的渠道。它提供零售、企业和机构银行服务。该银行在欧洲、亚洲和美国拥有 30,000 名员工。该银行的使命是保护其资产、运营和敏感信息，而广泛的数据隐私和金融法规使这项工作变得复杂。
挑战
德国第二大银行 DZ BANK 面临着检测高级威胁的挑战，而传统的基于签名的防火墙、IDS 和 IPS 都无法检测到这些威胁。该银行正在寻找一种能够区分良性异常行为和高风险攻击者行为的解决方案。银行保护资产、运营和敏感信息的使命因广泛的数据隐私和金融法规而变得复杂。德国禁止对员工和通信进行多种类型的监视和电子监控。此外，欧盟《通用数据保护要求》（GDPR）和德国《金融工具二级市场指令》（MiFID II）均于 2018 年成为法律。
解决方案
为了应对这些挑战，DZ BANK 选择了 Vectra® 的人工智能驱动型 Cognito® 网络攻击检测和威胁搜寻平台。Cognito 使 DZ BANK 能够实时检测威胁、自动分类警报并快速响应数据中心工作负载以及用户和物联网设备中隐藏的攻击者。该平台结合了人类专业知识、数据科学、机器学习技术和行为分析，可自动完成手动、耗时的威胁搜寻和响应。Cognito 将数天和数周的威胁搜寻压缩为几分钟，从而将安全运营工作量减少了 36 倍。该平台还会自动分类警报，并在直观的 Vectra Threat Certainty Index™ 上显示威胁和确定性分数。因此，DZ BANK 可以立即知道哪些具有攻击指标的主机设备构成最大风险，并且置信度最高。
运营影响
数量效益
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