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Risk management

Enhanced edition

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Please Note:

Enhanced edition

The Risk Management Enhanced edition provides an advanced risk-based engine with policies, risk scores, and comprehensive rule sets to tackle complex risks (such as phishing or social engineering) using a machine learning (ML) model.

Use cases

The Enhanced edition covers any type of sensitive actions from account creation to transfer, login, new beneficiary, and so on. It is ideal for:

  • Advanced risk detection: Detect phishing, account takeover, social engineering attacks

  • Real-time risk scoring: ML-based scoring for complex risk patterns

  • Flexible integrations: RESTful API for backend, JavaScript SDK for web, and native SDKs for mobile

  • Behavioral analysis: Monitor user behavior throughout the entire online interaction to recognize good users and remove friction

How it works

  1. Collect risk payload: Embed signal collection scripts or SDKs into web pages or mobile applications.

  2. Perform risk assessment: Call the REST API to obtain a risk score from your backend.

  3. Provide feedback: Update the system with outcomes to improve future assessments.

Getting started

  1. Quickstart: Step-by-step guide to integrating signal collection and risk evaluation

  2. Guides: Advanced topics, policy management, risk reporting

  3. REST API: Complete back-end API reference

  4. Web SDK: JavaScript SDK for web applications

  5. Mobile SDK: iOS and Android native SDKs

Risk evaluation process

Understand how the solution works by exploring:

  • Signal collection from user devices (web and mobile)
  • Real-time risk evaluation (Low, Medium, High)
  • Policy-driven decisions (Allow, Deny, Challenge)
  • Feedback integration to improve future decisions

Key features

  • ML-based scoring: Advanced machine learning for risk detection

  • Comprehensive rules: Extensive rule library for device, behavior, location, and IP analysis

  • Flexible policies: Define custom policies and scenarios

  • Multi-channel support: Web, mobile (iOS and Android), and API integrations

  • Outcome feedback: Continuous learning from user actions and outcomes

For simpler use cases focused on login flows, see the Essential edition.

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