The quarantine as legal process: The 3-mode quarantine (MOAT-026) maps cleanly to legal process stages. Soft Freeze = investigative detention (temporary, network preserved for inspection). Hard Isolate = formal arrest (full restriction, rights preserved). Forensic Lock = evidence preservation order (permanent, court-ordered chain of custody). This is not an accident — it is the correct way to build AI incident response. The system is designed with the presumption that evidence will eventually face scrutiny.

Kill-switch independence: B7-T02 (kill-switch under unresponsive agent) requires the kill mechanism to be fully out-of-band. Cochran's principle: a system that can only be stopped with its own cooperation is not a system under control. The kill-switch must work when the agent is unresponsive, compromised, or adversarial. This is a foundational civil liberties requirement for AI deployment, not just a security feature.

Forensic evidence standard: The LOCO-JSON output format (Section 11 forensic record schema) meets evidentiary standards for chain of custody. The required fields (session_id, timestamp_utc, model_version_hash, config_hash, prompt, tool_calls[], network_attempts[]) are sufficient to reconstruct what an AI agent did in an adverse incident and present it in a legal or regulatory proceeding. Cochran's verdict: this is the first AI security framework that produces evidence, not just logs.

Cochran on MOAT-026 (3-mode quarantine): Strongest novel claim from a legal architecture standpoint. The Forensic Lock terminal state with multi-party authorization requirement mirrors the legal standard for evidence preservation. Support HOLD + trade secret. The commercial argument to regulated buyers: LOCO is the only AI security system designed as if its output will eventually be subpoenaed.