A critical flaw in Zcash's Orchard shielded pool, discovered in May 2026, has highlighted significant deficiencies in auditing standards for AI tools in the crypto sector. The vulnerability, which allowed undetectable counterfeiting of tokens, led to a 50% drop in ZEC's market value. Security researcher Taylor Hornby identified the flaw using an AI-powered workflow, underscoring the need for advanced AI auditing capabilities. The incident reveals a regulatory vacuum in AI-driven financial auditing, with bodies like the PCAOB and AICPA yet to provide guidance on these tools. As AI models become integral to evaluating cryptographic infrastructure, the absence of standardized benchmarks poses existential risks to enterprises and the auditing profession. The Zcash crisis serves as a wake-up call for the urgent development of AI auditing frameworks to safeguard financial systems.