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Monitor and secure CASE STUDY | HashiCorp 10,000 clouds
技术
- 基础设施即服务 (IaaS) - 云计算
- 分析与建模 - 实时分析
- 应用基础设施与中间件 - API 集成与管理
适用行业
- Software
- Professional Service
适用功能
- 商业运营
- 质量保证
用例
- 安全索赔评估
- 预测性维护
- 远程资产管理
服务
- 系统集成
- 云规划/设计/实施服务
- 网络安全服务
挑战
Collectively supporting cloud infrastructure for tens of thousands of customers and HashiCorp itself generates massive volumes of various events. Sifting through this telemetry to conduct a single security investigation and search on a series of related events was a time-consuming process for the security team, plagued with excruciatingly slow search results.
关于客户
HashiCorp is a leading company known for its innovative solutions in cloud infrastructure automation. The company supports cloud infrastructure for tens of thousands of customers, which generates massive volumes of various events. HashiCorp's complex operating environment spans three infrastructure-as-a-service (IaaS) cloud environments and requires robust security measures to ensure the safety and integrity of its operations. The company is committed to providing efficient and scalable security monitoring to maintain high standards of service for its extensive customer base.
解决方案
HashiCorp selected Sumo Logic to address its security challenges. Sumo Logic provides centralized and scalable Cloud Security Analytics and security information and event management (Cloud SIEM) across HashiCorp’s and its customers’ multicloud environments. This cloud-native solution enables real-time monitoring and integrates telemetry from all aspects of the company’s infrastructure. Sumo Logic’s Cloud SIEM offers low-latency, insight-driven security investigations, allowing HashiCorp to conduct searches and investigations in real time. The solution also streamlines workflows by automatically initiating searches when alerts are triggered. Additionally, the SOC team applies Palantir’s Alerting and Detection Strategy (ADS) framework to optimize security investigations, helping the team develop theories and leverage Cloud SIEM effectively.
运营影响
数量效益
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