NETSCOUT 协助东欧机构保护客户金融账户免受 DDoS 破坏和盗窃
公司规模
1,000+
地区
- Europe
国家
- Other
产品
- NETSCOUT Sightline
- NETSCOUT TMS
技术栈
- DDoS Protection
实施规模
- Enterprise-wide Deployment
影响指标
- Cost Savings
- Customer Satisfaction
技术
- 网络安全和隐私 - 网络安全
适用行业
- 金融与保险
适用功能
- 商业运营
用例
- 网络安全
服务
- 系统集成
关于客户
该客户是东欧最大的金融机构之一。他们正在进行品牌重塑，同时重启与全球数百万客户的关系。为了确保该项目的成功，他们在安全运营中心内成立了网络安全风险预防团队。该团队成功的关键绩效指标是 DDoS 攻击造成的收入损失为零、成本增加为零、DDoS 攻击造成的服务停机时间为零以及 100% 的 DDoS 攻击缓解。
挑战
东欧最大的金融机构之一正在进行品牌重塑，并重新与全球数百万客户建立关系。在此项目期间，他们遭受了大规模 DDoS 攻击，导致 90% 以上的面向客户的 IT 功能瘫痪。这次攻击耗尽了网络资源，并限制了业务关键型面向客户的服务的高可用性达数天之久。该组织发布了 RFI，以了解其行业内正在实施的各种 DDoS 保护产品、策略和解决方案。在多个应用程序中，只有三家供应商被要求进入概念验证测试阶段。
解决方案
NETSCOUT 团队在测试阶段向该组织介绍了带有威胁缓解系统 (TMS) 的 Sightline。没有其他供应商可以提供 Sightline 和 TMS 的内部部署功能来阻止测试过程中产生的最大 DDoS 攻击。通过识别和缓解与该组织已经遭受的攻击规模相当的测试攻击，NETSCOUT 远远超出了任何竞争对手的范围，并让客户的安全运营中心员工相信，他们的关键任务服务将受到 NETSCOUT 解决方案的保护，免受未来 DDoS 攻击。
运营影响
数量效益
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.”
