Trust Scoring System
AIM\'s ML-powered 8-factor trust algorithm provides real-time risk assessment for AI agents, enabling intelligent security decisions based on behavioral patterns and historical data.
How Trust Scoring Works
AIM continuously analyzes agent behavior across 8 key factors to calculate a trust score from 0-100. This score determines what actions an agent can perform and triggers alerts for anomalous behavior.
Real-Time Analysis
Every agent action is analyzed in real-time using machine learning models trained on millions of interactions to detect patterns and anomalies.
Adaptive Learning
The system learns from your organization\'s patterns, improving accuracy over time while maintaining strict security boundaries.
Trust Score Ranges
Full access to all permitted resources, minimal monitoring
Standard access with periodic verification requirements
Limited access, increased monitoring, approval required for sensitive operations
Restricted access, all actions logged, manual approval required
Real-Time Monitoring Dashboard
Monitor trust scores in real-time through the AIM dashboard with:
- • Live trust score updates
- • Anomaly detection alerts
- • Factor breakdown visualization
- • Historical trend analysis
- • Peer comparison charts
- • Policy violation tracking
- • Predictive risk assessment
- • Automated recommendations