Data boundary
Define what may enter, where it lives, which collections may be combined, what may leave, and which people and processes hold authorization at each step.
Security architecture
Private AI starts with an honest threat boundary.
Local compute reduces one class of exposure. R.A.I.S.E. and Grace also treat data flow, identity, permissions, updates, tool authority, evidence integrity, human operations, and recovery as deployment controls.
Controls validated per deploymentLocal-firstData path
ExplicitTrust boundary
LeastNecessary authority
ReviewableEvidence goal
The point
You earn the word secure at the system level, one control at a time.
A disconnected server can still be misconfigured, physically accessed, supplied with unsafe updates, exposed through removable media, or given excessive tool authority. Private AI needs technical controls and a complete operating model behind them.
Execution boundary
Restrict models, tools, agents, services, and network paths to what the approved workflow requires. Consequential actions can be gated or held for human approval.
Evidence + operations
Source lineage, action records, identity, backups, media handling, maintenance, monitoring, incident response, and recovery belong to the deployment. We refuse to assume them into existence around it.
Claims boundary
We do not claim zero risk, zero hallucinations, military-grade security, universal compliance, or a certification the specific system has not earned.
Work with us
Start with the consequence of failure and the controls you already owe.
We scope the data class, users, workflow, facility, integrations, operating constraints, and required review before sensitive material enters the system.
Direct answers
Questions worth asking.
Does local AI guarantee privacy?+
No. It can reduce external data transfer, but privacy also depends on access, configuration, storage, software, physical safeguards, people, contracts, and policy.
Is R.A.I.S.E. HIPAA, SOC 2, FedRAMP, or government certified?+
We claim no universal certification. A regulated or government deployment requires engagement-specific control mapping, agreements, technical validation, procurement review, and qualified compliance guidance.
Does retrieval eliminate hallucinations?+
No. Retrieval can improve grounding and inspectability, but retrieval and models can both fail. Testing, evidence display, governance, and human review remain necessary.