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filler@godaddy.com
Signed in as:
filler@godaddy.com
GateForge is being developed around a governance-first model of AI execution. These papers explain the architectural thinking behind the system, its current proof surface, and its applied wedge in authority-grounded first-pass readiness workflows.
A longer-form architectural argument for pre-inference governance. This thesis explains why reasoning admission, authority boundaries, workflow control, and fail-closed artifact discipline matter in higher-trust environments, with particular emphasis on NIST SP 800-171 and CMMC-adjacent first-pass readiness workflows.
A concise overview of GateForge as a governance-first architecture for AI execution. This paper explains the kernel concept, the governed workflow model, and the current applied wedge in authority-grounded first-pass readiness work.
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