公司规模
1,000+
地区
- America
国家
- United States
产品
- Vectra Cognito
- AWS Security Hub
- AWS Virtual Private Clouds (VPCs)
技术栈
- AI-driven threat detection
- Cloud-based data storage
- Traffic mirroring
实施规模
- Enterprise-wide Deployment
影响指标
- Customer Satisfaction
技术
- 网络安全和隐私 - 网络安全
- 基础设施即服务 (IaaS) - 云计算
- 基础设施即服务 (IaaS) - 虚拟私有云
适用行业
- Software
适用功能
- 商业运营
用例
- 网络安全
服务
- 云规划/设计/实施服务
- 网络安全服务
关于客户
该客户是一家总部位于北美的知名在线游戏运营商,业务遍及全球十多个地区。该公司运营着该领域许多最受欢迎的网站和品牌系列。由于游戏受众庞大,网络安全对于游戏社区来说至关重要,因为网络犯罪分子将这些网站视为新一波威胁的主要攻击目标。该公司是一家上市公司,需要满足广泛的监管和合规要求,包括 PCI-DSS 和 GDPR。该公司的首要任务包括为游戏玩家提供最佳体验、保护其运营免受攻击以及保护其品牌和知识产权。
挑战
这家在线游戏公司在全球十多个地区开展业务,面临着快速变化的威胁形势。游戏公司是网络犯罪分子的有利可图的目标,这些犯罪分子既有个人行动者,也有有组织的犯罪团伙。中断或数据泄露可能会对公司的收入、客户保留和长期价值造成重大损害。作为一家上市公司,它需要满足广泛的监管和合规要求,包括 PCI-DSS 和 GDPR。该游戏公司需要能够检测威胁和攻击,这意味着能够全天候搜寻恶意活动,而无需安全团队全天候在现场。同时,安全分析师被来自安全工具(如 SIEM、防火墙和其他防御系统)的大量警报所淹没。在选择 Vectra 的 AI 驱动平台之前,该公司对其网络内部威胁行为的可见性有限,这不利于公司为游戏玩家提供最佳体验、保护其运营免受攻击以及保护其品牌和知识产权的优先事项。
解决方案
这家在线游戏公司选择了 Vectra® 的 Cognito® 威胁检测和响应平台来检测云、数据中心、物联网和企业网络中的复杂多阶段攻击。Vectra 的 Cognito 平台可自动识别隐藏的网络攻击并阻止混合部署和云部署中的数据泄露。凭借 360 度可视性,Cognito 可提供跨云、数据中心、物联网和企业网络的所有威胁行为的单一视图,同时提供有关攻击的宝贵安全见解和背景。该公司依靠 AWS 实现灵活、可扩展的工作负载,任何中断都可能严重损害这家在线游戏公司的声誉。Cognito 可自动检测并响应整个网络中的隐藏网络攻击行为。Cognito 可大规模捕获所有网络元数据,并使用机器学习得出的安全上下文对其进行丰富,并将其可靠地存储在 AWS 中,以进行主动威胁搜寻和结论性事件调查。 Cognito 与 AWS 之间的深度集成使该公司能够在 AWS 虚拟私有云 (VPC) 中部署 Vectra 传感器,这些传感器使用流量镜像将 AI 驱动的网络攻击者检测和响应扩展到 AWS 工作负载。与 AWS Security Hub 的集成可确保 Cognito 定义作为发现结果发布在 Security Hub 中,在那里它们可以与其他数据源相关联,以便在云中更快地进行威胁搜寻和事件调查。
运营影响
Case Study missing?
Start adding your own!
Register with your work email and create a new case study profile for your business.
相关案例.
Case Study
Factor-y S.r.l. – Establishes a cost-effective, security-rich development environment with SoftLayer technology
Factor-y S.r.l., a web portal developer, was faced with the challenge of migrating its development infrastructure to a reliable cloud services provider with highly responsive technical support. The company needed a solution that would not only provide a secure and reliable environment but also support its expansion by providing resources to create and deliver innovative offerings.
Case Study
Darwin Ecosystem: Accelerating discovery and insight through cutting-edge big data and cognitive technologies
Darwin Ecosystem was founded with a unique vision of harnessing chaos theory mathematics to uncover previously hidden connections in unstructured data. The company’s algorithms can look at all the data generated by any source (such as news, RSS feeds and Twitter), and analyze how a specific set of concepts within that data are evolving over time. This is particularly valuable in situations such as business and competitive intelligence, social research, brand monitoring, legal discovery, risk mitigation and even law enforcement. A common problem in these areas is that a regular web search will only turn up the all-time most popular answers to a given question – but what the expert researcher is actually interested in is the moment-tomoment evolution of the data available on that topic. Darwin’s algorithm is computationally intensive, and the sources of data it correlates can be vast. To bring its benefits to a larger commercial audience, Darwin needed to find a way to make it scale.
Case Study
Zend accelerates, simplifies PHP development
Zend Technologies, a major contributor to the PHP open source community, needed to keep pace with emerging trends such as mobility, agile development, application lifecycle management and continuous delivery. The company needed to provide the right tools to the worldwide community of PHP developers. The challenge was to support enterprise-class capabilities from end to end, including mobile, compliance and security. The pace of business required developers to show results fast across a variety of devices without compromising quality or security.
Case Study
Delivering modern data protection with cloud scale backup from Cobalt Iron and IBM
Organizations are struggling to modernize their legacy data protection environments in the face of growing demands around new infrastructure, new applications, and budget consolidation. Virtualization and modern application development processes have significantly outgrown legacy backup architectures. In response, infrastructure teams have created multiple backup solution types to handle the varying SLAs (performance, scale, cost) required by their business sponsors. However, the sheer number and variety of solutions in this uncontrolled expansion creates huge amounts of work, threatening to overwhelm the IT team in many organizations. Today, developers may add new applications and virtual server instances by the hundreds per day without accounting for the restrictions of the existing backup infrastructure. They leverage the cloud for immediate compute and storage resources, yet rarely communicate succinctly with corporate IT to ensure that the appropriate data protection services are in place.
Case Study
Achieving near limitless scalability and flexibility with data in the cloud
Web-based publishing platform SpaceCraft found that as its client base grew, it was spending an increasing amount of time managing its databases, distracting its focus from product innovation. As its user base rapidly expanded, data volumes at SpaceCraft began to rise dramatically. Along with their main focus on maintaining and further developing a great platform for web publishing, the SpaceCraft team had the added pressure of managing the increasing quantities of data while ensuring ongoing high performance for clients.
Case Study
nViso SA – Delivers emotion recognition solutions worldwide with a scalable SoftLayer hosting solution
nViso SA, a company that provides emotion recognition solutions, was in need of a high-performance cloud hosting infrastructure. The company wanted to extend its services to a global customer base. The challenge was to find a solution that could handle the demands of their growing customer base and the need for high performance and reliability.