Abstract
A system is proposed herein for hardware-interlocked release of artificial intelligence (AI) prompts, retrieved context, model responses, tool requests, and tool results. Release-critical state remains under chip control, and each guarded object reaches RELEASED only through an atomic commit binding the object digest and sequence, the applicable guardrail action, a protected-state update, a package epoch, and cryptographically authenticated enforcement evidence; failure leaves the original destination disabled. The system combines deterministic controls, a placement-flexible semantic model operating within a signed quality envelope on approved measured, attested, or host-isolated compute, and authenticated escalation for unresolved or high-consequence cases while the hardware interlock retains exclusive release authority. Signed active and inactive packages preserve the release guarantee across updates, and local processing can keep raw AI content inside a customer-controlled boundary while a signed residency policy restricts or disables external escalation.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Yuan, Barry Qi, "FPGA-RESIDENT GUARDRAIL FABRIC FOR LARGE LANGUAGE MODEL SECURITY, PRIVACY, AND SAFETY ENFORCEMENT", Technical Disclosure Commons, ()
https://www.tdcommons.org/dpubs_series/12215