Global 500 Financial Organization Moves to “Digital Everything” to Enhance Customer Experience and Email Security
公司规模
Large Corporate
地区
- America
- Asia
- Europe
国家
- Canada
- United States
产品
- Abnormal
- IronPort
- FireEye
- VendorBase
技术栈
- Machine Learning
- Natural Language Processing (NLP)
实施规模
- Enterprise-wide Deployment
影响指标
- Cost Savings
- Customer Satisfaction
- Digital Expertise
技术
- 分析与建模 - 机器学习
- 分析与建模 - 自然语言处理 (NLP)
适用功能
- 商业运营
用例
- 欺诈识别
服务
- 网络安全服务
- 系统集成
关于客户
As a leading Global 500 financial services company, the organization is responsible for nearly a trillion dollars in asset management, investor interests, and a global workforce. Its insurance, investment, financial advisory, and asset management services are trusted by customers across Canada, the United States, Asia, and Europe. With millions of customers, it’s important to this financial organization to protect their wealth, reduce their risk, and help them to reach their goals and live more rewarding, healthier lives.
挑战
To maintain trust and foster growth, the organization is transforming its global business operations to deliver “digital everything.” This requires a fresh look at each line of business and its supporting technologies, people, and functions to identify opportunities to reorganize, replatform, and accelerate their rate of digital change to become quicker and more competitive. During this transformation, the security operations team has a critical role in protecting assets, processes, and people. The team knew that even though the organization wasn’t having to deal with successful email attacks yet, they should keep looking for ways to enhance protection for their more than 34,000 inboxes worldwide. “Email is the most vulnerable area we have, because it requires humans to decide quickly whether or not to click a link or open an attachment. Blocking malicious emails before they reach a human is key,” said the company’s Director of Threat Intelligence. The organization’s proactive mindset led it to Abnormal. Rather than wait for an attack to succeed, “we took the next step in our email security evolution,” said the Associate VP of Security Operations.
解决方案
Abnormal quickly uncovered a volume of email threats the organization hadn’t expected—more than 70 compromised vendors and more than 11,000 advanced email attacks per month bypassing the company’s secure email gateway. “We were fortunate that we did not have any problems, because Abnormal showed us that we had been interacting with compromised vendors and that thousands of attacks were bypassing our other two layers.” Abnormal is the organization’s final line of defense against advanced email threats and those that matter most, with IronPort dedicated to anti-spam, FireEye detecting advanced threat malware, and Abnormal providing protection against business email compromise and other socially-engineered attacks that the other two layers aren’t able to detect. As one of the organization’s security engineers explained, “Abnormal is catching things that our other two security platforms should’ve caught. It’s like this big wall of safety that complements and exceeds what the other tools are doing.” The fact that so many attacks were slipping through at an organization with two layers of email security already in place shows how sophisticated these threats have become. These attacks impersonate trusted vendors and avoid the known bad signals that other email security solutions are built to identify, like malicious payloads and suspicious links. Abnormal takes a different approach, using machine learning and natural language processing to separate known good email behaviors from those that signal fraud.
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
Largest Production Deployment of AI and IoT Applications
To increase efficiency, develop new services, and spread a digital culture across the organization, Enel is executing an enterprise-wide digitalization strategy. Central to achieving the Fortune 100 company’s goals is the large-scale deployment of the C3 AI Suite and applications. Enel operates the world’s largest enterprise IoT system with 20 million smart meters across Italy and Spain.

Case Study
KeyBank's Digital Transformation with Confluent's Data in Motion
KeyBank, one of the nation's largest bank-based financial services companies, embarked on a national digital bank initiative following the acquisition of Laurel Road, a digital consumer lending business. The initiative aimed to build a digital bank focused on healthcare professionals looking to refinance student loans and buy homes. A significant challenge was reducing the time to market for new products by democratizing data and decoupling systems across the IT landscape. Like many large enterprises, KeyBank had a variety of vendor applications, custom applications, and other systems that were tightly coupled to one another. New projects often required developing specific point-to-point integrations for exchanging data, which did not address the needs of other downstream systems that could benefit from the same data.
Case Study
BharatPe: Leveraging Google Cloud for Enhanced Data Analytics and AI to Promote Digital Payments
BharatPe, a fintech company founded in 2018, aimed to make digital payments more accessible for over 10 million small offline merchants and kirana store owners in India. However, the company faced challenges in managing the massive amounts of data generated daily from payment processing to business analysis. Prior to using Google Cloud, BharatPe managed its legacy data warehouse with limited capacity to run a large number of queries. The company ran key performance indicator (KPI) reports, without the ability to understand real-time data patterns. Loading three months of data for quarterly reports took more than 30 minutes on the legacy system, and in some cases, queries failed because the system could not scale to support analytical needs. Additionally, BharatPe operates in a multi-cloud environment for disaster recovery and needed a data platform that could run queries against data, regardless of where it resides.
Case Study
Barclays Enhances Customer Experience with IBM BPM Solution
Barclays, a global bank operating in over 50 countries and serving nearly 60 million customers, faced a significant challenge in improving and streamlining the customer experience. The bank's relationships with customers were multifaceted, with customers engaging with the bank through various channels such as mobile, online, and branch locations. The bank had identified 400 different customer journeys, and the challenge was to align these across the enterprise and improve them in a way that positively impacted customers quickly. The director of operations at Barclays, Mike Gamble, recognized the need to transform the bank's processes around customer journeys. He aimed to enhance the understanding of how various functions contribute to delivering customer experiences and then expedite the rollout time of these new processes to achieve the end goal for the customer.
Case Study
Bank BRI: Revolutionizing Financial Inclusion in Asia with Digital Banking
Bank Rakyat Indonesia (Bank BRI), one of the largest banks in Indonesia, was faced with the challenge of increasing financial inclusion among unbanked Indonesians. The bank had an ambitious target of having 84 percent of Indonesians participating in the banking system by 2022. However, the bank's legacy technologies were proving to be a hindrance in achieving this goal. Each of the bank's products had their own public APIs, which were difficult to manage, secure, and monetize. Additionally, the process of onboarding new partners using host-to-host and VPN technology was time-consuming, taking up to six months. The bank also faced the challenge of reaching a largely rural population, with an estimated $8.3 billion in currency being held outside the banking system.
Case Study
Stabilizing an Avalanche of Data: Comcast's Journey with Data360 Analyze
Comcast Corporation, the second largest broadcasting and cable television company in the world by revenue, was facing significant challenges due to the volume and variety of operational and billing data. With over 20 million customers across 40 states, the company needed to establish standardized processes and automate data flows to overcome a wide range of billing, finance, compliance, supply chain, and marketing challenges. In 2009, the company was dealing with massive amounts of data that were causing major revenue assurance challenges. The customer billing review interface required the processing of a billion records every month, within very tight timeframes. The company’s decentralized accounting and finance operations, with 20 different regions and 30 different accounting practices, further compounded these issues.