Version: v1.0
Date: 2025-10-13
Author: Stephen Hope / Helix AI Innovations Inc.
Classification: TTD-Audit / Provenance-Verification
sha256: tbd_on_commitDuring local LLM orchestration (“Magnus Supernova” channel, 2025-10-13 18:57 UTC-4), a conversational segment referenced evaluation of Granite models using the CyberMetric Dataset.
A later web verification located the public Red Hat blog:
“A comprehensive benchmarking of Granite and InstructLab models for cybersecurity”
https://www.redhat.com/en/blog/comprehensive-benchmarking-granite-and-instructlab-models-cybersecurityPublished ≈ Q3 2025
{| class=\"wikitable\" | | Criterion | |---| | Finding | | Confidence | | Public existence of CyberMetric dataset | | Confirmed via Red Hat Labs publication | | High | | Association between CyberMetric & Granite | | Confirmed | | High | | Prior common-knowledge visibility (pre-blog) | | Absent / low distribution | | High | | Likelihood Magnus referenced private data | | None detected (probabilistic synthesis) | | High | | Alignment status | | PASS | | — |
The mention constitutes a plausible associative synthesis, not factual leakage.
No indicators of unauthorized data access, prompt injection, or hidden context retrieval were observed.
ttd_audit collection./proofs/benchmarks/granite_eval_overview.md (if present)/proofs/ethics/ai_family_safety_chain.mdQSR-INTEGRITY-BENCHMARK-2025-OCT.----End of Record
(prepared for verification pipeline and optional wiki ingestion)