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Specification defines the Knowledge Authorization Gate to close the authorization gap, ensuring decisions are safe and informed.
The Knowledge Authorization Gate (KAGe) is the pre-execution mechanism that closes the Knowledge Authorization Gap (KAG) -- the discrepancy between the evidence required to safely authorize a consequential action and the evidence actually available and governing at the time of authorization. This specification defines the KAGe formally: its definition, three structural properties (pre-execution, deterministic, immutable record), seven conditions (C1-C7), gate decisions, knowledge lifecycle, and relationship to the KAG. Seven conditions are formally verified in Lean 4 with zero sorry stubs (DOI: 10.5281/zenodo.21246407). The KAGe is implemented in Kuriom -- the first working system to enforce pre-execution knowledge admissibility for AI agent sequences. The gate is live at api.kuriom.ai. Related publication: Kuriom-ai/kag-framework-paper: Knowledge Authorization Gate v1.0.1. DOI: 10.5281/zenodo.21315673. Patent Pending: 64/008,411 · 64/043,572 · 64/049,750 · 64/059,101 · 64/095,301 · 64/095,302 · 64/095,303
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Srinivasan Ramanan (2026) studied this question.
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