RFT VS Evidence Verifier

RFT‑VS (Rendered Frame Theory – Verification Standard) is a cryptographic accountability framework for AI systems. It verifies tamper‑evident Run Evidence Bundles—signed, ordered, hash‑chained audit trails that capture exactly what occurred during an AI run. RFT‑VS produces a clear PASS/FAIL decision and an assurance profile (Bronze → Platinum) that organizations can trust for audits, compliance, procurement, and incident response.RFT‑VS verifies evidence integrity only.It does not inspect prompts, outputs, model weights, internal logic, or system behaviour.It does not affect the AI system in any way.RFT‑VS sees nothing about what the system does, is, or decides—it verifies the evidence chain, not the model.This publication provides the official one‑page pitch for RFT‑VS and outlines the verification gates, privacy modes, integration expectations, and pricing tiers for organizations evaluating the standard. Demonstration Environment (Private Access)A working demonstration of the RFT‑VS verifier is available on Hugging Face at:https://huggingface.co/spaces/RFTSystems/RFT_VS_Evidence_VerifierThis Space showcases the full verification pipeline, including ZIP integrity checks, Ed25519 signature validation, hash‑chain reconstruction, Merkle proof verification, signer identity evaluation, and profile‑level enforcement.Access is invitation‑only.To request access, contact: rftsystems4Ai@gmail.com Forensic Collection (Proof‑of‑Work / Proof‑of‑Concept)A dedicated forensic collection is also maintained on Hugging Face:https://huggingface.co/collections/RFTSystems/rftsystems-agent-forensics-suiteThis collection contains individual Spaces demonstrating the different verification processes used by RFT‑VS, including event‑chain validation, receipt verification, deployment identity binding, privacy‑mode enforcement, and profile‑specific gates.This collection is also restricted and requires granted access. Licensing & Access ControlAll RFT‑VS materials, implementations, and demonstration Spaces are protected under the:RFT‑VS Proprietary License v1.0© 2026 Liam Grinstead (RFTSystems). All rights reserved.Use is strictly limited to evaluation and internal verification.The license explicitly prohibits:• copying, modifying, or creating derivative works• redistributing or republishing any part of the repository• using any portion in a product, service, model, dataset, or training run• training AI systems on any part of the repository• claiming compatibility, certification, endorsement, or “RFT‑VS compliance”• removing or altering copyright noticesUnauthorized use constitutes infringement under applicable law.For licensing, partnership, or access enquiries:rftsystems4ai@gmail.comliamgrinstead2@gmail.comwebuildsolutions@mail.com Purpose of These ResourcesThe private demonstration Space and forensic collection allow organizations, auditors, and researchers to:• observe the verification pipeline• understand the structure of Run Evidence Bundles• evaluate the assurance profiles (Bronze → Platinum)• validate the cryptographic guarantees• assess integration requirements• confirm that RFT‑VS operates without accessing model internalsThese resources serve as evidence of capability, proof of work, and proof of concept for the RFT‑VS standard.