NFV v1.2 --Trajectory-Aware Governance Layer for Conversational AI

NFV v1.2 — Trajectory-Aware Governance Layer for Conversational AI NFV v1.2 introduces a trajectory-aware governance layer for conversational AI that augments static moderation with persistent risk modeling, adversarial escalation detection, and calibration-aware control logic. Unlike message-level classifiers that evaluate prompts in isolation, NFV models conversational trajectories across turns, tracking frame transitions, persistence of adversarial intent, and slow-burn escalation patterns. The framework formalizes a taxonomy of conversational frames (F01–F10), canonical trajectory risk tables, dual-window memory with exponential decay, semantic similarity gating for paraphrase-resistant roleplay and boundary-testing detection, and configurable governance profiles that balance safety and creative latitude. It includes explicit equations, reference pseudocode, telemetry fields, audit reason codes, and an evaluation protocol suitable for benchmarking against documented jailbreak datasets and benign conversational corpora. Key features include: trajectory-aware adversarial risk scoring across conversational turns persistent suspicion modeling with controlled decay and reset rules canonical 2-gram and 3-gram trajectory risk tables semantic similarity gating for paraphrase-resistant roleplay and boundary-testing detection configurable governance profiles (STRICT, BALANCED, CREATIVE) explicit failure modes, limitations, telemetry requirements, and deployment considerations This document consolidates NFV v1.2, v1.2.1, and v1.2.2 into a single unified and citable specification. It is intended for AI safety researchers, safety engineers, and system designers seeking robust, explainable, and benchmarkable conversational governance mechanisms. NFV is framed as a deployment-oriented governance middleware rather than a purely theoretical proposal. Supplementary Materials This record also includes two companion artifacts: 1. NFV VisualiserA non-normative interactive visualiser that presents NFV as an optional module attachable to the S-OS runtime kernel. It illustrates the frame taxonomy, trajectory-aware risk model, adversarial escalation patterns, governance profiles, and decision logic in a form suitable for demonstrations, communication, and exploratory testing. It does not modify the formal NFV specification. 2. Reference Implementation Architecture (Non-Normative)A modular reference architecture translating the NFV specification into a system design that includes a session manager, frame classifier, risk computation engine, governance decision engine, and telemetry layer. This companion document is provided to support reproducibility, benchmarking, and third-party implementation. It does not introduce new theoretical claims or modify the normative NFV behavior, equations, thresholds, or invariants defined in the primary specification. Package Scope Normative document:NFV v1.2 unified technical specification Non-normative companions:NFV interactive visualiserNFV reference implementation architecture Operational focus:inference-time conversational governancetrajectory-aware adversarial detectionpersistent risk telemetrybenchmarkable and auditable deployment design