CYBIONT
The landscape of AI governance and verification technologies is rapidly evolving. This table compares Cybiont's integrated stack against traditional and contemporary approaches.
| Approach | Explainability | Verifiability | Regulatory Fit (FINMA/EU AI Act) | Cybiont Status |
|---|---|---|---|---|
| Traditional ML Audit | Post-hoc only | Manual review | Low | Insufficient |
| Model Cards (Google) | Documentation | Self-reported | Medium | Insufficient |
| Confidential Computing | None | Execution environment | Medium | Used as substrate |
| Cybiont Stack | Built-in confidence analytics | Cryptographic proof with succinct aggregation | High | Patent-pending (Q3 2025) |
Key Differentiators
- Confidence Analytics: Cybiont continuously quantifies uncertainty and feeds the signal into adaptive governance workflows, unlike approaches focused solely on execution environment.
- Risk-Proportionality: Validation depth scales automatically with the assessed risk profile, aligning with FINMA expectations for proportional governance.
- Hybrid Consensus: Designed specifically for human-AI collaboration and prevention of AI-AI bias.