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TENIR-Gov: Governance Middleware for AI-Enabled Operational Systems

Authors: Skiredj, Abdelaziz;

TENIR-Gov: Governance Middleware for AI-Enabled Operational Systems

Abstract

TENIR-Gov is an open-source governance middleware that sits between decision-producing AI agents and downstream execution environments. It enforces explicit policies, validates operational intents through a neuro-symbolic grammar layer, and persists every governance decision in a cryptographically verifiable Merkle-based audit ledger — independently of any underlying AI model. Release R5.0.0 (IRON OMEGA R5) provides: neuro-symbolic validation (LALR(1) grammar + optional LLM fine-tuning), a deterministic policy engine (frozen dataclass contract), a graph-based policy store (Neo4j 5.x), a Merkle epoch audit ledger, an administrative governance plane, a polymorphic UI surface contract, and ledger migration tooling.

Release R5.0.0 (IRON OMEGA R5). Validation suite: 557 automated tests (555 passing, 2 intentionally skipped). Statement coverage: 96% on tenir_governance. Policy fingerprint (default): cb96dd8d35197ab0.

Keywords

middleware, governance, FastAPI, audit ledger, AI safety, policy enforcement, neuro-symbolic, autonomous agents, compliance, Neo4j, Merkle tree, Python

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average