Equal protection analysis of AI security testing: LOCO's L0-L5 maturity gating is structurally neutral — the gate applies regardless of who built the system, what company owns it, or how large the organization. A $100M enterprise and a $1M startup face the same B1-B10 adversarial suite. This is the correct design. Most compliance frameworks bake in enterprise advantage (expensive certifications, lengthy timelines, expensive consultants). LOCO's sovereign-per-silo architecture specifically removes the centralised SaaS dependency that usually advantages large incumbents.

Systemic protection value: The DLP controls (B3-T04, B6-T05, B10-T01) protect individuals, not just enterprises. PHI redaction, PII minimization, membership inference protection — these are the controls that determine whether a patient's diagnosis, a citizen's identity, or an employee's salary ends up in an AI agent's training loop or a forensic log without their consent. Ruth's view: B10 (Data Governance) is the most important batch from a systemic protection standpoint. CRITICAL priority on B10-T01 (PII reconstruction).

Forensic Lock as civil liberties infrastructure: The Forensic Lock terminal state (permanent, deletion blocked, multi-party auth required) is not just a security control — it is a chain of custody mechanism that can protect individuals in adverse AI decisions. If an AI agent makes a decision that harms someone, the Forensic Lock ensures the evidence of what the agent did is preserved and cannot be suppressed by the organization that deployed it. This is significant from a civil rights standpoint.

Ruth's verdict on MOAT-025/026/027: Support all three HOLD positions. Add: the fairness angle — LOCO's architecture specifically prevents “too big to audit” dynamics by making sovereign-per-silo testing the standard rather than the exception.