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Fastly > 实例探究 > 利用 Fastly 的下一代 WAF 增强 Finn AI 的 API 安全性
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Finn AI's Implementation of Fastly's Next-Gen WAF for Enhanced API Security

技术
  • 分析与建模 - 自然语言处理 (NLP)
  • 应用基础设施与中间件 - 中间件、SDK 和库
适用行业
  • 设备与机械
  • 国家安全与国防
适用功能
  • 质量保证
用例
  • 供应链可见性(SCV)
  • 篡改检测
服务
  • 系统集成
  • 测试与认证
挑战
Finn AI(现为 Glia)需要了解恶意威胁行为者的 API 发现尝试,并能够阻止针对这些 API 的异常活动,从而使客户能够使用其自然语言处理技术 (NLP)。
关于客户
Finn AI 为银行和金融机构提供对话式人工智能技术,允许客户通过语音或文本交互来管理个人财务。他们在 Amazon Web Services 内运营,需要一个可以轻松与其现有基础设施集成的解决方案。
解决方案
Finn AI 选择 Fastly 的下一代 WAF 与其中间件一起运行,以有效检查 API 请求。 Fastly 的云原生方法和基于机器学习的零日攻击防护是做出这一决定的关键因素。
运营影响
  • The implementation of Fastly’s Next-Gen WAF has brought several operational benefits to Finn AI. The solution has provided visibility across the attack surface and a proactive defense, enabling Finn AI to uncover the types of attacks malicious actors attempt to use against their APIs. This was particularly useful during SOCII compliance penetration testing, where the Finn AI team could detect that testers were using endpoint scanners. The solution has also helped Finn AI maximize IT staff utilization while building security resilience. The feedback loops via alerts sent to various DevOps tools have allowed Finn AI to better analyze the attack surface and discover new traffic anomalies for examination. The reporting and dashboards have been key in providing proof to their Board of Directors that they’ve taken steps to detect and stop automated attacks.

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