Trust Center
Security
Kenshiki's AI governance control plane is designed around isolation, explicit authorization, and replayable evidence so that consequential AI behavior can be constrained and examined under pressure.
System architecture
Security starts with clear trust boundaries. Kenshiki separates application surfaces, inference pathways, and source authority so governance decisions are not hidden inside a single opaque runtime.
- Explicit trust demarcation between app, model, and evidence layers
- Deployment patterns that support VPC and isolated execution environments
- Policy-aware control surfaces instead of best-effort post hoc monitoring
Access and authorization
Kenshiki uses policy and relationship-aware control patterns to ensure access is evaluated at the moment claims are retrieved, transformed, or emitted.
- Least-privilege access evaluation
- Role and relationship boundaries on sensitive data paths
- Operator-visible enforcement outcomes when authority is missing
Evidence and forensics
Security claims are only useful if they can be examined later. Kenshiki emphasizes deterministic logs, evidence chains, and replayable decision paths so incidents can be reconstructed without guesswork.