为账户持有人提供更安全的在线金融服务环境
公司规模
Large Corporate
地区
- Asia
国家
- Japan
产品
- IBM Security Trusteer Rapport
实施规模
- Enterprise-wide Deployment
影响指标
- Customer Satisfaction
- Brand Awareness
技术
- 网络安全和隐私 - 端点安全
适用行业
- 金融与保险
适用功能
- 商业运营
用例
- 网络安全
关于客户
kabu.com Securities Co., Ltd 是三菱日联金融集团 (MUFG Group) 旗下的一家在线证券公司。该公司的管理理念注重客户投资成果。kabu.com Securities 总部位于东京，为客户提供超过一百万个证券账户。该公司致力于为其账户持有人提供安全可靠的在线金融服务环境。作为 MUFG 集团的一部分，kabu.com Securities 是更大金融网络的一部分，这为其提供了强大的行业影响力。
挑战
kabu.com Securities 是三菱日联金融集团 (MUFG Group) 旗下的一家在线证券公司，该公司致力于更好地保护客户资产，让客户更加安心。该行业正面临越来越先进的网络攻击，kabu.com Securities 认识到需要额外的安全层来对抗这些威胁。该公司旨在防止最终用户设备感染恶意软件，并保护用户免遭登录凭据网络钓鱼，而这往往是金融欺诈的根本原因。
解决方案
为了应对高级网络攻击的挑战，kabu.com Securities 与 IBM 合作。他们共同部署了额外的安全层，以更好地抵御恶意软件和网络钓鱼攻击。他们实施的解决方案是 IBM® Security Trusteer Rapport®，这是一款基于客户端的高级欺诈保护解决方案。此解决方案有助于防止最终用户设备上的恶意软件感染，并保护用户免遭登录凭据网络钓鱼。通过实施此解决方案，kabu.com Securities 能够增强其安全措施并为其客户提供更安全的在线金融服务环境。
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.”
