LensLine: Model Lineage Risk Auditor
Compliance-grade audits that probe any deployed LLM for hidden political, regulatory, or finance-adjacent bias before a bank puts it in front of customers.
Model risk and compliance officers at US banks and asset managers
- Sensitive-vs-control prompt pairs covering 150+ politically and financially loaded topics (Uyghur labor transfer, Henan bank freeze, depositor bail-ins, suspended statistics series)
- Four-judge ensemble scoring with matched controls and statistical-significance reporting per topic cluster
- Lineage tag claiming 'untrained', 'self-distilled', or 'foreign-distilled' so risk reports reflect student/teacher provenance
- PDF audit deliverable mapped to SR 11-7 model risk management expectations
The HN-trending paper proves distillation from Chinese teachers does not transfer censorship, which is exactly the claim banks need to underwrite before deploying cheaper distilled frontier models — and the methodology gives compliance teams the spine to actually do it.
Federal Reserve/OCC issued updated SR 26-2 (2025-26) replacing SR 11-7 with explicit AI focus; HN trend paper reached 76-80 points; multiple vendors (Fairly AI, Credo AI) explicitly targeting financial services compliance teams.The Fed - FRB: Supervisory Letter SR 26-2 on Revised Guidance on Model Risk Management ↗Show HN: Distilling DeepSeek into GPT-OSS doesn't transfer censorship. Try it ↗
Crowded market — at least 5 established competitors (Holistic AI, Credo AI, Fairly AI/Asenion, FairNow, IBM watsonx.governance) target regulated enterprises with bias auditing, and CTGT itself (the paper's author) is already commercializing this exact lineage-audit methodology.Top 5 AI Bias Detection Tools (2026): Vendors Compared ↗What a Distilled Model Inherits From Its Teacher ↗
Enterprise-only pricing across all competitors (no public rates), IBM watsonx benchmark of $0.60/resource unit; bank compliance budgets for SR 11-7/SR 26-2 validation are large and willing to pay premium for compliance-grade reports.Top 5 AI Bias Detection Tools (2026): Vendors Compared ↗SR 11-7 AI Compliance Guide - Model Risk Management for AI Agents ↗
OCC/FRB/FDIC explicitly updated model risk guidance in 2025-2026 to address AI; regulators continue issuing AI-specific bulletins; AI model deployment in banking is structurally rising — multi-year regulatory tailwind.OCC Reinforces Risk-Based Oversight of AI in Banking ↗Model Risk Management: Revised Guidance | OCC ↗
Methodology is already demonstrated in the source paper (DeepSeek→GPT-OSS distillation probe works); building still requires significant ML/eval engineering, GPU compute, and a benchmark suite for finance-adjacent bias dimensions.What a Distilled Model Inherits From Its Teacher ↗