Private Deployment & Security Boundaries
Data staying within your perimeter is default, not an add-on. From single-node PoC to air-gapped data centers, ReadyForAI is engineered natively for private environments.
Docker standalone rollout; 4C / 8G resources run the entire full-stack loop
Kubernetes deployment with independent component autoscaling
Offline container image import · audited private LLM egress · local verification
All runtime events, audit logs, and knowledge graphs remain strictly inside your environment
Supports private on-prem models; external LLM gateways are audited and severable on demand
Secrets managed via File / Env; never injected into prompt contexts. Vault / HSM / Cloud KMS backends not yet integrated
Committed records enter Hash Chains, locally verifiable with gap detection
LarkScout's ingest gate includes archive structural safety and process-isolated YARA (scanner binary required); SOPs and SKILLs may declare protected sections whose declared spans are digest-checked on fork