Interezen × BSG · Cloud-Native FDS
Proven in demanding legacy environments, Dfinder FDS has been re-architected as a cloud-native service on AWS. It ingests and analyzes rapidly growing transaction streams from finance, commerce, and platform businesses in real time — instantly flagging anomalies such as voice phishing and fraudulent payments, with zero-downtime availability under any traffic load.
In-memory analysis with Elasticsearch, Redis, and MariaDB responds the moment a transaction event arrives.
Multi-AZ cluster behind an Application Load Balancer with Auto Scaling absorbs any traffic spike without interruption.
Podman-based (Docker-compatible) containers deliver fast, consistent deployment and rollback in any environment.
Dfinder FDS pairs its battle-tested detection engine with an AWS-native architecture — elastic, containerized, and hardened to enterprise security standards.
Beyond single-server limits: a Multi-AZ cluster fronted by an Application Load Balancer keeps the service available through failures, while Auto Scaling Groups expand capacity automatically as transaction traffic surges.
Multi-AZ · ALB · Auto ScalingThe application is packaged as lightweight, modular Podman (Docker-compatible) containers — eliminating dependency drift and enabling rapid, repeatable deployment and rollback across any environment.
Podman · OCI ContainersHardened for AWS infrastructure: least-privilege IAM role control, EBS volumes encrypted with AWS KMS, and the latest AWS SDKs enforcing IMDSv2 with IMDSv1 fully disabled.
IAM · KMS · IMDSv2The same FDS core trusted in production for years — now with cloud-scale data pipelines behind it.
Elasticsearch, Redis, and MariaDB power high-speed search over large transaction datasets. In-memory processing analyzes each transaction event the instant it is received, guaranteeing responses within 500 milliseconds.
Elasticsearch · Redis · MariaDBA dedicated browser script collects device signals from the customer’s PC/web environment, and a data-transfer component on the customer’s WAS forwards transactions to the FDS analysis server securely over REST APIs.
Device Fingerprint · REST APICompose detection rules from IP reputation, device fingerprints, and user transaction patterns. Administrators manage and apply rules dynamically through the management UI — no system restart required.
Live Rule Deployment · Admin UIDfinder FDS runs as containerized agents across an EKS cluster in private subnets, streaming logs to S3 and surfacing analytics through OpenSearch and EventBridge.
Application pods and specialized agents run across 100+ worker nodes.
Every detection event becomes searchable, auditable data.
Workloads stay isolated inside the customer’s VPC.
Wherever money moves, Dfinder FDS watches every transaction in real time.
Monitor telecommunications-based and electronic financial transactions to preemptively block voice phishing and mule-account abuse before funds leave the institution.
Detect and block suspicious activity in real time at every step of the funnel — sign-up, login, and payment — stopping fraudulent orders before fulfillment.
Identify anomalous patterns in claim filing and payout transactions to surface organized fraud rings and prevent improper disbursements.
Interezen’s fraud detection expertise, deployed and operated on AWS by BSG.
Interezen Co., Ltd. — FDS & anti-fraud specialist
AWS Advanced Partner since 2015
Bring proven real-time fraud detection to your AWS environment — deployed in days, scaled automatically, and available directly on AWS Marketplace.