Real-time Blockchain Fraud Detection
The Problem Real-time linking of transactions, accounts, wallets, and blocks within and across blockchains is not possible with current solutions. Instead, the user must either rely on batch…
Use Cases
Authentication Fraud
The Problem Metered attacks that generate low volume log-in attempts, from diverse IPs and across extended time frames, are designed to avoid the “3 strikes in 24 hours”…
Financial Fraud Detection
The Problem Financial fraud detection requires monitoring billions of transactions, devices and users in real-time for suspect behaviors without false positives that alienate customers when service is denied…
Video Observability for Root Cause Analysis
The Problem Real-time video observability that can solve Quality of Experience (QoE) issues while live broadcast events are still playing require the simultaneous monitoring of millions of data…
Streaming Graph ETL
The Problem Most ETL tools use the batch processing paradigm to find high-value patterns in large volumes of data. Whether the specific business application is fraud detection, cyber…
Log Analysis
The Problem Monitoring systems comprised of multiple services is typically done by monitoring each service individually using it’s logs, or on an end to end basis that lacks…
Graph AI
The Problem Pick One. Recent AI research is generating a growing number of graph AI techniques that take advantage of graph data relationships, and the rich context it…
Stateful Digital Twin
The Problem While digital twins and the emerging subcategory of asset graphs promise operators greater visibility into the relationships between IT assets and equipment under management, current approaches…