Trust Scoring System
AIM\'s 8-factor trust algorithm provides dynamic risk assessment for AI agents, enabling intelligent security decisions based on behavioral patterns and historical data.
How Trust Scoring Works
AIM 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.
Event-Driven Analysis
Every agent action is analyzed using statistical pattern detection to identify anomalies.
Configurable Thresholds
Set trust score thresholds and response policies based on your organization's security requirements.
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
Monitoring Dashboard
Monitor trust scores 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