Solution Design: Tailored configuration of ARIC Risk Hub based on client infrastructure (cloud/on-premise) and fraud typologies.
Tools Used: Python and other scripting tools are often used by implementation engineers for custom development.
Performance Metrics: Key metrics like false positive ratio, fraud capture rate, and latency are monitored.
Deployment Options: Cloud-based (SaaS) or on-premise, depending on client preference.
Client Support: Dedicated implementation consultants and engineers provide ongoing support.
Typical Duration: Varies by client size and complexity, but generally ranges from 6 to 12 weeks for full deployment.
Featurespace’s ARIC™ Risk Hub is highly customizable to meet specific business requirements. Here are the key customization capabilities:
White Labeling: Businesses can rebrand the ARIC Risk Hub to match their own identity, including UI customization and tiered user access.
Multi-Tenant Configuration: One installation can serve multiple clients (tenants), each with segregated data and custom rule sets.
Rule & Model Control: Clients can create, edit, and apply their own fraud detection rules and models, either globally or per customer segment.
Custom Reporting: Offers standard and enhanced reporting options, including dashboards and visualizations tailored to client needs.
Flexible Integration: Supports integration with third-party systems like Single Sign-On (SSO) and custom data connectors.
Deployment Options: Available as cloud-based SaaS or on-premise, depending on infrastructure preferences.
This flexibility makes it suitable for banks, acquirers, processors, and fintechs with varying operational models.
Setup & Deployment::
Deployment is managed by Featurespace’s Cloud Operations and Support teams.
The platform offers 99.95% production availability, indicating high reliability and uptime.
Support includes proactive issue resolution before service impact.
Cloud hosting and data residency compliance (US, UK, Canada, EU) may influence pricing tiers.
Featurespace provides a comprehensive training and onboarding experience for new users, partners, and internal teams. Key elements include:
Executive Education Sponsorship: Featurespace supports advanced learning such as Executive MBA programs, offering study time and flexible work arrangements.
Commercial pipeline development support .
Support for certifications and professional qualifications.
Featurespace employs multi-layered security protocols to protect sensitive financial data and ensure compliance:
Adaptive Behavioral Analytics: Continuously learns and adapts to new fraud patterns without manual retraining.
TallierLTM: Uses generative AI to model transaction behavior and predict fraud with high precision.
Integrates with KYC systems and supports PSD3 and 3DS compliance.
Featurespace follows a structured and proactive update management process, especially for its cloud-based ARIC™ Risk Hub SaaS platform. Key points include:
Versioning Example: ARIC Risk Hub V3.17 introduced cloud-based deployment options for components like MongoDB, Kafka, Elasticsearch, and PostgreSQL.
Featurespace’s Privacy Policy outlines its approach to data ownership, usage, and portability. Key points include:
No Untokenized PAN Requirement: ARIC Risk Hub eliminates the need for customers to send untokenized Primary Account Numbers (PAN), enhancing privacy.
Featurespace supports data residency compliance in the US, UK, Canada, and EU, allowing clients to control where their data is stored.
Whether third parties have access
Featurespace’s platform, especially the ARIC™ Risk Hub SaaS, is designed for elastic scalability to meet changing business demands:
Cloud-Native Architecture: Built on scalable cloud infrastructure using technologies like Kubernetes, containerization, and microservices, allowing seamless horizontal scaling.
Contract Renewal are one of the focus of Featurespace:
Typically includes auto-renewal clauses, which are now subject to stricter regulations under FTC Rule 16 CFR Part 425.
Businesses must provide affirmative consent for auto-renewal (e.g., checkbox or signature next to renewal clause).
Clients must be notified in advance of renewal dates and given a simple cancellation mechanism. [
Featurespace adheres to a wide range of global compliance standards and has developed a robust Model Governance Framework for its machine learning systems:
Model Risk Governance: Aligns with guidance from the US Office of the Comptroller of the Currency (OCC) on model risk management.
Transparency: Provides investigators with clear reasons for flagged transactions.
