Features

Powerful Features for Comprehensive Risk Management

Everything you need to visualize, track, and manage risk dependencies across your entire organization

Risk Event Tracking Dependency Visualization Cross-Department Collaboration Intelligent Alerting

Risk Event Tracking

Monitor and track risk events in real-time across all departments with comprehensive logging and analysis.

  • Real-time Event Capture - Automatically collect risk events as they occur
  • Multi-source Integration - Connect ERP, CRM, security systems seamlessly
  • Historical Analysis - Access comprehensive event history with advanced filtering

Use Case:

Financial institutions monitor operational risks across trading, compliance, and IT departments with automatic logging and impact assessment.

System Outage Critical

Trading Platform - 14:32 UTC

Compliance Alert Medium

Regulatory Reporting - 13:15 UTC

Main
System

Interactive dependency graph

Dependency Visualization

Interactive graph views that reveal complex dependency relationships and cascade effects.

  • Interactive Graph View - Explore risk networks with zoom and filtering
  • Impact Path Analysis - Trace downstream system effects

Use Case:

Healthcare providers visualize dependencies between patient data systems, billing, and clinical workflows to minimize care impact during maintenance.

Cross-Department Collaboration

Break down silos with unified dashboards and collaborative tools for seamless coordination.

  • Shared Risk Dashboard - Unified view accessible to all stakeholders
  • Role-based Access - Granular permissions ensure security

Use Case:

Manufacturing teams coordinate between production, QA, and supply chain with automated notifications when supplier risks are identified.

JD

John Doe

Risk Manager

"Updated supplier risk assessment"

2 hours ago

Critical Alert Just now

Risk threshold exceeded: Payment System

Predictive Warning 15 min ago

Potential cascade risk detected

Intelligent Alerting

Proactive alerts and predictive warnings powered by ML, keeping you ahead of potential escalations.

  • Threshold-based Alerts - Custom thresholds for key indicators
  • Predictive Warnings - ML models forecast potential issues

Use Case:

E-commerce platforms receive predictive warnings about payment system risks before they affect customer transactions.

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