Private Deployment & Security Boundaries
Data staying within your perimeter is default, not an add-on. From single-node PoC to production clusters, ReadyForAI is engineered natively for private environments.
With private deployment, your data, security baseline, and audit evidence stay inside your organization
- All products and components support private deployment, and data stays inside your corporate network
- Secret isolation, hook-level rejections, and Hash Chain ledgers form a three-tier security baseline
- Audit evidence stays on local ledgers with verifiable gap detection to satisfy regulatory reviews
Docker standalone rollout; 4C / 8G resources run the entire full-stack loop
Kubernetes deployment with independent component autoscaling
All products and components run inside your corporate network · 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
By role
Technology leaders
Fully private deployment without cloud or LLM lock-in prevents vendor dependency
Compliance & risk
Hook-level blocking + Hash Chain records + local verifiable audit ledgers satisfy regulatory audits
Business leaders
Zero outbound data is the non-negotiable baseline; transparent cost attribution is the standard