This short video explains why companies use Hazelcast for business-critical applications based on ultra-fast in-memory and/or stream processing technologies.
Stream processing is a hot topic right now, especially for any organization looking to provide insights faster. But what does it mean for users of Java applications, microservices, and in-memory computing? In this webinar, we will cover the evolution of stream processing and in-memory related to big data technologies and why it is the logical next step for in-memory processing projects.
Now, deploying Hazelcast-powered applications in a cloud-native way becomes even easier with the introduction of Hazelcast Cloud Enterprise, a fully-managed service built on the Enterprise edition of Hazelcast IMDG. Can't attend the live times? You should still register! We'll be sending out the recording after the webinar to all registrants.
Overview
Fraud detection systems are critical to delivering an unobstructed view of entities, relationships, and hidden patterns within an enterprise ecosystem. These cover a broad range of financial crimes such as payment fraud, credit card fraud, money laundering, or financing criminal activities. Failure to invest in a fraud detection system can be disastrous for a company’s customers, investors, compliance teams, as well as the bottom line. Critical considerations include:
Hazelcast delivers microsecond speed that allows multiple fraud detection algorithms to run faster than a card swipe, keeping customers, merchants, and payment processors focused on the business.
Events like Black Friday, Singles Day, or even the day-to-day transaction volume of a successful site are a constant challenge. High security at low volumes is simple, but delivering the same security millions of times per second can lift your organization to a new level.
While speed and scalability can deliver the operational framework to keep your workflows operating smoothly and securely, Hazelcast's distributed architecture ensures your systems are well-prepared against compromising behavior.
Security is by far the first order of business for in-memory enablement, because if it’s compromised nothing else matters. The world’s largest financial institutions, card processors and e-Commerce sites deploy Hazelcast as a critical component of the tech stack focused on delivering a fraud-free experience, regardless of complexity, volume or speed requirements.
Nothing impacts your relationship with customers or business partners more than dealing with fraudulent behavior. The speed and complexity of today's information technology ecosystem increase the risk of fraudulent behavior more than ever. Hazelcast's in-memory solutions are designed from the ground up to provide the infrastructural capability to minimize or eliminate the threats associated with fraud, in all its variants. Whether it's retail banking, capital markets, e-Commerce, payment processing, access control, or any of a myriad of other potential targets, nothing gets under your skin faster than being a victim of fraud. Hazelcast enables the world’s most sophisticated companies and government agencies with industry-leading fraud prevention and detection infrastructure.
20,000
Transactions per second
Multiple fraud detection algorithms at sub-millisecond speed
Security without compromise
10K TPS w/SSL/TLS 1.2 w/Open SSL
Don’t just meet SLAs, comfortably exceed them
Real-time fraud detection
We enable our customers to process fraud detection algorithms or fraud detection machine learning in microseconds, not seconds or even milliseconds. When looking for fraudulent behavior, speed is your friend.
Scalability that delivers
Systems unable to scale efficiently place you at a significantly higher risk of fraud when things get busy. With its distributed architecture, Hazelcast scales effortlessly to volumes that enable our customers to stay focused on their core competencies.
Improved satisfaction across the board
Eliminating the confusion associated with fraud keeps customers, suppliers, regulators, and investors satisfied and focused on the core of the business, rather than fighting fires.
Consumer financial transactions are the easiest targets for hackers using sophisticated systems when today’s detection systems are facing increasing volume pressure. Through the use of Hazelcast’s solutions, one of the largest credit card providers has been able to reduce their fraud write-downs by $800M per year.
The rate of change means that today’s fraud detection systems must be flexible to change, not only in the core logic but also in system topology. They must report anomalies in near real-time and be highly available 24/7. The Hazelcast In-Memory Data Grid® and Hazelcast Jet®, an in-memory stream and fast batch processing engine, are proven to deliver these capabilities for the largest banks, e-Commerce, and payment processing companies in the world.
Hazelcast can store account details, recent transaction history and scoring in one instantly accessible location for robust, comprehensive checks executed in real-time. As we already operate at sub-millisecond speed, we are comfortably exceeding SLA requirements of 500ms or less.
The leading in-memory solution for fraud prevention
Solutions
Designed to provide high speed, availability, and scalability by distributing data across multiple machines, Hazelcast IMDG is the leading In-Memory Data Grid. Hazelcast IMDG enriches your ability to prevent fraud by providing the capability to quickly process, store and access the data with the speed of RAM.
Hazelcast Jet is an application embeddable, distributed stream processing solution for building IoT and microservices-based applications. Based on a parallel, distributed core engine, Hazelcast Jet is high performance and low-latency-driven, capable of enabling data-intensive applications to operate at real-time speeds.
The benefits of moving to the cloud are well known and applicable to virtually every industry. Hazelcast offers our customers the flexibility to deploy to the cloud on their terms, whether it's a dedicated cloud, on-premises cloud, hybrid cloud, or private cloud.
High-Density Memory Store adds the ability for Hazelcast IMDG Enterprise HD to store significant amounts of cached data in Hazelcast clusters (servers) and in the Hazelcast Client (near cache), limited only by available RAM for extreme scale-up.
Stream processing is how Hazelcast processes data on-the-fly - prior to storage - rather than batch processing, where the data set is stored in a database before processing. This approach is vital when the value of the information contained in the data decreases with age. The faster information is extracted from the data the better.
The speed of the Hazelcast in-memory computing platform enables new levels of real-time predictive model servicing in support of delivering machine learning and artificial intelligence solutions, as well as supporting real-time engineering and model retraining.
Resources
Hazelcast IMDG® is the industry’s leading in-memory data grid (IMDG) solution. In an environment driven by digital transformation, continuous intelligence, and a whole new level of performance expectations, enterprises need digital speed, massive scale and actionable perspective in order to thrive in a multi-cloud technology ecosystem.
Mainframe computers are used at many companies today, but the need for more cost-effectiveness is forcing changes. A popular strategy, mainframe optimization, enables lower mainframe costs due to the reduction in unnecessary MIPS. At the same time, it adds powerful new architectures related to cloud, microservices, and data streaming. An integration with IBM and Hazelcast […]
In this webinar, we’ll show how the microservices model can fall short in addressing the need for distributed access to shared data, and how Hazelcast can be used in a microservice architecture to solve some of the most difficult challenges facing developers and architects in building a robust distributed data architecture.
Whether you're interested in learning the basics of in-memory systems, or you're looking for advanced, real-world production examples and best practices, we've got you covered.
