Use real-time data to outpace fraud
To model advanced fraud you need to employ different data models, algorithms, rules engines, machine learning, or artificial intelligence. Aerospike delivers real-time data to all of these various fraud data pipelines at any scale on a fraction of the infrastructure of other offerings.
Real-time fraud detection at scale
Online fraud requires a real-time response. That’s why Paypal, Barclays, and TransUnion look to Aerospike for fast data for fraud.
Enterprise graph data for advanced fraud
Modern fraud systems need a graph database that can deliver 100k QPS with 5ms latencies and 99.999% uptime.
Build your 5-year fraud stack
Will increasing your data sources swamp your fraud infrastructure? You need a real-time fraud stack with unlimited headroom.
Leading businesses rely on Aerospike to act in real time and serve as their foundation for the future.
See all customer storiesMinimizing customer friction for successful digital fraud prevention
Attacks happen across the customer lifecycle, and every type of transaction is at risk. With more digital payments and accounts for any online application now being made in real-time, fraud attacks are growing in sophistication and prevalence.
Organizations need to stop transaction/payment and application/identity fraud, account takeover and money laundering, before they result in financial and reputational damage.
Benefits of the Aerospike real-time data platform for combating fraud payment
Only Aerospike is able to process the amount of streaming data combined with system of record data that fraud prevention machine learning algorithms need – without causing undue burden on the end customer, nor the organization’s budgets and staff.
30x fraud exposure reduction
Fraud calculations get completed faster, with 30x tighter adherence to SLAs.
Reduction in false positives
Employ 10-times the number of attributes in your same calculation time window.
De-risk ML model testing
Conduct challenger/champion testing with proven 30 day playback.
Employ more historical data
Merge system of record data in real-time with streaming transactional data at the edge.
Save millions per day
Prevent more fraud with more data processed, faster.
Reliably scale infrastructure
Future-proof your solution with the ability to scale from 10's of terabytes up to petabytes without degradation in system performance nor the undue burden of server sprawl.
Fraud prevention is a 24x7x365, global activity
Real-time fraud prevention at its core relies upon fast data processing with machine learning. Organizations should always be looking to minimize their fraud losses. However, they often are unable to combine data silos to populate and conduct meaningful machine learning in real time.
Transaction (payment) fraud
Today’s Industry 4.0 manufacturing ecosystems are heavily data-driven, as companies are looking to leverage IoT sensors and monitoring devices to measure and analyze vast amounts of streaming data in real-time.
Application and identity fraud
Prevent fraudsters from using stolen or synthetic identities to open accounts, without stopping good customers.
Account takeover (ATO) fraud
Protect organization and customers from fraudsters who try to take over accounts to steal from or abuse them.
Anti-money laundering (AML) fraud
Financial organizations need to analyze vast amounts of transactions for patterns of illicit behavior - typically within seconds. Firms need to comply with AML regulations for: Know your customer (KYC) requirements, currency transaction reporting (CTR), and transaction monitoring.
Testimonials
Additional resources
For a deeper understanding and more insights, explore these additional resources.
- Webinar
Best Practices To Minimize Fraud & Improve Customer Personalization
Despite EMV chip adoption, financial identity theft affects over 47% of Americans as fraudsters grow smarter, requiring more sophisticated, real-time solutions, which this webinar will explore.
- Video
Credit Card Fraud – Why the Database Matters
Barclays overhauled its fraud detection system with Aerospike, enabling seamless data sharing, scaling from 3TB to 30TB+, and achieving ultra-low latency for transactions.
- White paper
The Rise of Payments Fraud: How to Supercharge Fraud Engines to Beat it!
Despite the best efforts of our industry, payments fraud continues to rise – particularly in the online environment.