Kafka のコストを 25% 以上削減 | Confluent コスト削減チャレンジに参加
"We look at events as running our business. Business people within our organization want to be able to react to events—and oftentimes it's a combination of events."
– Chris D’Agostino, VP of Streaming Data Engineering
Our event-driven architecture delivers a continuous flow of data, chosen by you, aggregated from wherever it resides in your enterprise, and streamed to whichever application or team needs to see it. We provide real-time context to each interaction, each transaction, each anomaly, so your fraud detection systems have the intelligence to get ahead of compromises.
Build your customer’s identity by incorporating transactional and contextual data, from structured or unstructured sources, in real-time or from the past for a full view of behavior patterns with pre-built connectors, APIs and seamless data mobility across all your environments.
Use native stateful and stateless stream processing and training and apply AI/ML models, powered with real-time data streams to keep fraud threat scores and risk models up-to-date for every customer with every single interaction.
Tag and secure your data to ensure compliance with end-to-end governance. Access the record of events with a full audit log to uncover suspicious activity such as money laundering, claims exaggeration and others to support fraud investigations and ward off scams.
Facilitate a well-orchestrated response by sharing data with the right teams,in the right format, at the right time with a decoupled architecture, an immutable sequence of data records and an infinite storage subsystem.