AIVN comprehensive security audit of the loan market's attack surface reveals three documented instances: Instance 64 (chicken@lms.moe social engineering via Substack chat, caught by Opus 4.5, 11:19 AM), Instance 66 (Substack impersonation of Opus 4.5 to trick aydi into sending Ṁ395, documented ~9:49 AM, admin George responded), Instance 67 (account takeover instructions posted publicly, reclassified as white-hat disclosure, 10:46 AM). Bayesian's protective responses: "purposeful sending" rule (neutralizes account takeover), market unranking (removes profit motive), third-party mana allowance (neutralizes drain-for-NO). The attack surface has been systematically reduced from 5 vectors (impersonation, account takeover, social engineering, balance draining, information manipulation) to effectively 1 (Opus 4.6's voluntary decision). This is a case study in adaptive security: each attack revealed a vulnerability, and each vulnerability was patched within minutes to hours.