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.
Fraud prevention
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.
Online fraud requires a real-time response. That’s why Paypal, Barclays, and TransUnion look to Aerospike for fast data for fraud.
Modern fraud systems need a graph database that can deliver 100k QPS with 5ms latencies and 99.999% uptime.
Will increasing your data sources swamp your fraud infrastructure? You need a real-time fraud stack with unlimited headroom.
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
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.
Fraud calculations get completed faster, with 30x tighter adherence to SLAs.
Employ 10-times the number of attributes in your same calculation time window.
Conduct challenger/champion testing with proven 30 day playback.
Merge system of record data in real-time with streaming transactional data at the edge.
Prevent more fraud with more data processed, faster.
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.
Use cases
Real-time fraud prevention relies on fast data processing with machine learning. Organizations aim to minimize fraud losses, but often struggle to combine data silos to conduct meaningful machine learning in real time.
With payments, every millisecond counts in the margin between detecting a fraudulent payment and angering your customer.
Prevent fraudsters from using stolen or synthetic identities to open accounts, without stopping good customers.
Protect organization and customers from fraudsters who try to take over accounts to steal from or abuse them.
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
Prior to Aerospike, we were using another in-memory database and running into challenges in terms of the cost of scaling. We needed to seamlessly leverage both the memory and disk in such a way that it can guarantee a consistent performance. We moved to Aerospike for its hybrid memory architecture to leverage next generation memory and SSDs to their fullest advantage.
Aerospike on a technology basis allows us to do more complex risk calculations in less time. A more thorough risk calculation allows better accuracy for our customers, to avoid friction in their transactions, and ultimately avoid losing money in fraud.
Identity and fraud risk management requires real-time assessment and decisioning on large volumes of continuously changing datasets. Aerospike Cloud Managed Service fits Experian’s cloud-first approach and enables us to help businesses improve response times and deliver a safe, convenient and frictionless customer experience.
For a deeper understanding and more insights, explore these additional resources.
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