WebTrust Module (Cyber Credit Trust Score Engine)
WidowMind's WebTrust assigns and maintains cyber trust scores for systems, users, and applications. Like a credit score for digital behavior, it reflects past incidents, recovery performance, anomaly frequency, and policy adherence over time.
Key Features
- Behavior-based trust scoring engine
- Historical analysis of threat interactions and responses
- Decaying penalty over time for good behavior
- API-accessible score for external integrations
Architecture
WebTrust utilizes machine learning classification models hosted in ArachnoCore. Scores are calculated using encrypted telemetry and events logged by other modules. A decay algorithm gradually restores trust after clean behavior periods, while severe infractions may require arbitration in WebCourt to recover points.
Use Cases
- Internal access tiering (high vs low trust devices)
- Contractor or BYOD network segmentation
- Adaptive application access (based on score thresholds)
Compliance
- Configurable transparency settings
- Supports GDPR and zero-knowledge options
- Can anonymize identity while scoring behavior
Future Roadmap
- Cross-org WebTrust sharing (opt-in reputation networks)
- Score snapshot integration into audit logs
- UI trust dial and risk visualization dashboard
Tagline: “Trust is earned—and measured.”