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Tag: fraud detection

Machine Learning-Based Real-Time Threat Detection for Banks

The business impact of the COVID-19 pandemic continues to unfold worldwide for the financial services industry. The “new normal” has not only given rise to unprecedented operational challenges, but also provided fert Read more…

For ‘Open Banking,’ Data is a Person

The pandemic has accelerated the shift to digital financial services such as “open banking.” That has resulted in increased fraud, up an estimated 11 percent since the novel coronavirus hit. What’s more, industr Read more…

Neo4j Going Distributed with Graph Database

Neo4j is the leader in the burgeoning graph database market, with 17 years in development and thousands of open source users. But the database has a hard limit in terms of scalability, since it essentially was restricted Read more…

Cassandra, Kafka Help Scale Anomaly Detection

The scaling of open-source platforms continues apace with the demonstration of an anomaly detection application capable of processing tens of billions of events per day using Apache Cassandra and Apache Kafka running on Read more…

TigerGraph Serves Collaboration and Security with Multi-Graph

The capability to share data insights with other people or departments is instrumental to collaboration, and yet it's also the source of real security concerns in today's dangerous world. Graph database startup TigerGrap Read more…

Data Wrangling Enlisted to Fight Black Friday Fraud

Black Friday and Cyber Monday are coming, and the fraudsters are ready. With a growing percentage of mobile applications and app stores listed as malicious in the run up to Black Friday (Nov. 24) and Cyber Monday (Nov Read more…

Achieve Business Value with Machine Learning

With major companies battling constant cyberattacks and advanced persistent threats from cyber attackers, larger dedicated staffs are currently required to handle cyber espionage issues. Right now, a common problem acros Read more…

Retailers Find Further Reason for Real-Time

Retailers use streams of data from registers, social media, call centers, return and invoicing centers and various other places to piece together competitive elements of their business. But big data in retail doesn’t end there. Loss prevention and real-time fraud... Read more…

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