公司规模
1,000+
地区
- Europe
国家
- United Kingdom
产品
- nGenius 2200 series packet flow switch
- nGenius 6000 series packet flow switch
- NETSCOUT TAPs
技术栈
- Network Monitoring
- Cybersecurity
实施规模
- Enterprise-wide Deployment
影响指标
- Brand Awareness
- Cost Savings
- Customer Satisfaction
技术
- 网络安全和隐私 - 网络安全
- 网络与连接 - 网络管理和分析软件
适用行业
- 金融与保险
适用功能
- 商业运营
服务
- 云规划/设计/实施服务
- 系统集成
关于客户
该客户是英国一家金融服务业的领军企业,提供多元化的业务模式来支持保险、零售和商业银行客户。该银行在全球拥有超过 2500 万客户,已成功为用户部署了在线和移动平台,同时实施了一项战略业务计划,以简化面向英国购房者的贷款服务。银行的业务增长产生了数据中心扩展的需求,这给该组织的信息技术团队带来了相关的网络流量增加和网络安全风险。该 IT 组织中的网络和网络安全团队已经非常协作地工作,以确保能够看到有线流量,满足他们所有的监控需求。
挑战
这家英国金融服务业的领军企业正经历业务增长,因此需要扩建数据中心。这种扩张导致网络流量和网络安全风险增加。银行的 IT 部门必须应对这些挑战,同时还要与网络安全团队合作,确保所有监控需求都能看到有线流量。银行还使用外部提供商来协助网络运营管理。网络安全团队在数据中心环境中部署了各种第三方解决方案。为了最大限度地提高这些网络安全平台的效率,银行需要能够过滤流量并将其转发到适当的网络安全和/或监控系统进行分析的网络数据包代理技术。
解决方案
IT 团队向现有的服务保障和数据包流交换机 (PFS) 技术解决方案合作伙伴 NETSCOUT 寻求帮助,以提高其网络安全团队的网络可见性。该银行选择了 NETSCOUT 的 nGenius 2200 系列数据包流交换机技术和 NETSCOUT TAP,这使 IT 能够窃听网络线路流量并将重要数据提供给第三方网络安全平台。此外,该银行还选择了 nGenius 6000 系列数据包流交换机,它为监控和安全工具提供高密度端口聚合和数据包转发。nGenius 2200 系列数据包流交换机优化了从网络到银行网络安全系统的数据包流。借助 nGenius 2200 系列数据包流交换机提供关键的流管理功能(例如速度转换、聚合和负载平衡),NETSCOUT 的解决方案还可以在断电或工具故障时保护银行的网络。
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
Real-time In-vehicle Monitoring
The telematic solution provides this vital premium-adjusting information. The solution also helps detect and deter vehicle or trailer theft – as soon as a theft occurs, monitoring personnel can alert the appropriate authorities, providing an exact location.“With more and more insurance companies and major fleet operators interested in monitoring driver behaviour on the grounds of road safety, efficient logistics and costs, the market for this type of device and associated e-business services is growing rapidly within Italy and the rest of Europe,” says Franco.“The insurance companies are especially interested in the pay-per-use and pay-as-you-drive applications while other organisations employ the technology for road user charging.”“One million vehicles in Italy currently carry such devices and forecasts indicate that the European market will increase tenfold by 2014.However, for our technology to work effectively, we needed a highly reliable wireless data network to carry the information between the vehicles and monitoring stations.”
Case Study
Safety First with Folksam
The competitiveness of the car insurance market is driving UBI growth as a means for insurance companies to differentiate their customer propositions as well as improving operational efficiency. An insurance model - usage-based insurance ("UBI") - offers possibilities for insurers to do more efficient market segmentation and accurate risk assessment and pricing. Insurers require an IoT solution for the purpose of data collection and performance analysis
Case Study
Smooth Transition to Energy Savings
The building was equipped with four end-of-life Trane water cooled chillers, located in the basement. Johnson Controls installed four York water cooled centrifugal chillers with unit mounted variable speed drives and a total installed cooling capacity of 6,8 MW. Each chiller has a capacity of 1,6 MW (variable to 1.9MW depending upon condenser water temperatures). Johnson Controls needed to design the equipment in such way that it would fit the dimensional constraints of the existing plant area and plant access route but also the specific performance requirements of the client. Morgan Stanley required the chiller plant to match the building load profile, turn down to match the low load requirement when needed and provide an improvement in the Energy Efficiency Ratio across the entire operating range. Other requirements were a reduction in the chiller noise level to improve the working environment in the plant room and a wide operating envelope coupled with intelligent controls to allow possible variation in both flow rate and temperature. The latter was needed to leverage increased capacity from a reduced number of machines during the different installation phases and allow future enhancement to a variable primary flow system.
Case Study
Automated Pallet Labeling Solution for SPR Packaging
SPR Packaging, an American supplier of packaging solutions, was in search of an automated pallet labeling solution that could meet their immediate and future needs. They aimed to equip their lines with automatic printer applicators, but also required a solution that could interface with their accounting software. The challenge was to find a system that could read a 2D code on pallets at the stretch wrapper, track the pallet, and flag any pallets with unread barcodes for inspection. The pallets could be single or double stacked, and the system needed to be able to differentiate between the two. SPR Packaging sought a system integrator with extensive experience in advanced printing and tracking solutions to provide a complete traceability system.
Case Study
Transforming insurance pricing while improving driver safety
The Internet of Things (IoT) is revolutionizing the car insurance industry on a scale not seen since the introduction of the car itself. For decades, premiums have been calculated using proxy-based risk assessment models and historical data. Today, a growing number of innovative companies such as Quebec-based Industrielle Alliance are moving to usage-based insurance (UBI) models, driven by the advancement of telematics technologies and smart tracking devices.
Case Study
MasterCard Improves Customer Experience Through Self-Service Data Prep
Derek Madison, Leader of Business Financial Support at MasterCard, oversees the validation of transactions and cash between two systems, whether they’re MasterCard owned or not. He was charged with identifying new ways to increase efficiency and improve MasterCard processes. At the outset, the 13-person team had to manually reconcile system interfaces using reports that resided on the company’s mainframe. Their first order of business each day was to print 20-30 individual, multi-page reports. Using a ruler to keep their place within each report, they would then hand-key the relevant data, line by line, into Excel for validation. “We’re talking about a task that took 40-80 hours each week,” recalls Madison, “As a growing company with rapidly expanding product offerings, we had to find a better way to prepare this data for analysis.”