巴基斯坦证券交易所：深入了解复杂的 IT 环境
公司规模
Large Corporate
地区
- Asia
国家
- Pakistan
产品
- IBM QRadar Network Security (XGS)
- IBM QRadar SIEM
- IBM Security AppScan
- IBM X-Force Threat Intelligence
技术栈
- IBM QRadar
- IBM Security AppScan
- IBM X-Force
实施规模
- Enterprise-wide Deployment
影响指标
- Productivity Improvements
- Customer Satisfaction
技术
- 网络安全和隐私 - 网络安全
- 网络安全和隐私 - 安全合规
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
巴基斯坦证券交易所成立于 1949 年，前身是卡拉奇证券交易所 (KSE)，2016 年 1 月两家证券交易所合并为 KSE 后更名为巴基斯坦证券交易所 (PSX)。巴基斯坦证券交易所为全国提供无缝电子集成证券交易平台，市值达 970 亿美元，拥有 550 家上市公司。作为亚洲表现最佳的股票市场之一，巴基斯坦证券交易所必须采取积极主动的方法确保数据安全和合规，以保持投资者信心。
挑战
随着快速增长和在线交易等新 IT 服务的发展，巴基斯坦证券交易所 (PSX) 需要更好的方法来监控其复杂的 IT 基础设施，以识别安全威胁并快速有效地做出响应。作为亚洲表现最好的股票市场之一，PSX 必须采取积极主动的方式来确保数据安全和合规性，以保持投资者信心。挑战在于保护其资产并在全国范围内提供无缝电子集成证券交易平台。
解决方案
为了保护其资产，PSX 向 IBM 寻求集成分析和监控 SIEM 解决方案。该解决方案组件包括 IBM QRadar Network Security (XGS)、IBM QRadar SIEM、IBM Security AppScan 和 IBM X-Force Threat Intelligence。这些工具提供了威胁发生时的单一控制台视图以及解决威胁的工具，从而提高了网络和基础设施的可见性。
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.”
