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ProfiledRisk is a real-time risk intelligence and transaction monitoring platform that consolidates behavioral and operational signals from every point of interaction in your ecosystem. It enables you to continuously evaluate risk across users, accounts, devices, merchants, agents, or any entity you define as a profile. The platform aggregates data from your internal systems and third-party sources to build a unified profile for each entity. This live profile powers dynamic scoring, automated decisions, and case escalation when risk exceeds predefined thresholds. The result is a proactive defense that protects revenue, streamlines approvals, and improves compliance efficiency.

Why ProfiledRisk?

  • Deliver a single, real-time view of entity activity and risk signals
  • Enable automated scoring and transaction monitoring with minimal engineering overhead
  • Support non-technical users with an intuitive visual flow builder for risk logic
  • Scale transparently with your business as volume and complexity grow
  • Bridge fraud prevention and compliance operations into one workflow
ProfiledRisk is not just a fraud tool. It is the control layer for trust, operational security, and regulatory confidence.

Use Cases

ProfiledRisk gives you a complete real-time picture of how users, accounts, merchants, devices, or any entity behave across your product. Below are common operational areas where it delivers immediate impact:

Onboarding

ProfiledRisk analyzes new registrations and verification attempts as they happen. By combining behavioral signals like IP address, device fingerprint, and signup patterns, the platform can spot risky identities early, block bad actors at the door, and automatically route medium-risk users to step-up checks without slowing down good customers.

Banking

For digital banking and wallet experiences, ProfiledRisk acts as the always-on security layer. It monitors profile changes, unusual account activities, and authentication patterns to detect Account Takeover (ATO) before funds move. It also correlates KYC history and transaction behavior in one place for AML visibility.

Payments

Every payment tells a story. By evaluating transaction events — amount, frequency, device, location, merchant, payment method — ProfiledRisk identifies behavior that deviates from the user’s normal profile. This enables you to decline fraudulent payments, reduce chargebacks, and approve more legitimate transactions with confidence.

Lending

ProfiledRisk protects credit and lending flows by checking who is behind a loan request and how stable they appear. It can detect recent identity changes, repeated applications from the same device, or patterns linked to loan stacking. This adds an intelligence layer to your scoring models, improving approval quality and reducing default risk.

Crypto

In high-velocity crypto environments, ProfiledRisk tracks wallet behavior and transaction flows to identify money laundering signals, sanction risks, and scam-related activity. You can dynamically flag suspicious withdrawals, new wallet interactions, or rapid asset movements for compliance review before any irreversible transaction completes.

How It Works

ProfiledRisk continuously analyzes behavioral and transactional activity across your ecosystem to detect risk early and automate decisions. The lifecycle works as follows:

Data Ingestion

Your system sends event data — such as signups, logins, profile changes, transfers, purchases, or wallet activities — to the dashboard in a defined JSON structure.

Profile Creation and Aggregation

When the first event for a unique identifier is received, ProfiledRisk automatically creates a Profile. Every subsequent event tied to that identifier enriches the same Profile, giving you a complete view of how that entity behaves over time.

Risk Evaluation

Each event runs through your Risk Logic (Flows), where conditions, thresholds, and signals are checked. This is where behavioral intelligence and compliance rules operate together.

Scoring and Decisioning

  • Based on Flow outcomes, the system assigns:
    • A Risk Score (e.g. 0–100)
    • A Risk Level (Low, Medium, High, Critical)
    • An operational Decision such as Approve, Decline, or Pending Review
Automated decisions can be used directly in your product flows to fast-track good actors and stop fraud instantly.

Visualization and Action

All Profiles, Decisions, and open Cases are available in the dashboard. Analysts can review investigation details, add notes, and take final actions that can trigger updates back to your system. The entire loop runs in real time, supporting both transaction monitoring and lifecycle-based risk management.

Core Concepts

These concepts define how ProfiledRisk organizes and evaluates activity:
ConceptDescription
ProfileA unified record of all events and risk signals tied to an entity
EventAny action or transaction sent to the API
Risk Logic (Flow)A visual decision workflow used to score and classify risk
RuleA conditional check executed within a flow
Risk ScoreA numerical rating indicating severity based on recent and historical behavior
Risk LevelA tiered label (Low, Medium, High, Critical) derived from score thresholds
DecisionApproved, Declined, or Pending action driven by flow outcomes
CaseA flagged event or profile requiring manual review by your team