Security Researcher Behind AI-Driven Zcash Discovery Sets Sights on Monero Audit

A catastrophic inflation flaw in Zcash’s Orchard pool wiped 38% off its valuation, prompting researcher Taylor Hornby to deploy advanced AI models to scan other major privacy-centric networks.

By Michael Turner Published:

Security engineer Taylor Hornby, who recently uncovered a critical flaw in Zcash using Anthropic’s Opus 4.8 AI model, has confirmed he is adding Monero (XMR) and other prominent privacy cryptocurrencies to his technical auditing schedule.

The security alert follows the discovery of a massive vulnerability hidden within Zcash’s Orchard privacy pool since May 2022. The bug theoretically allowed malicious actors to mint unlimited, untraceable counterfeit ZEC. Acting under a contract with nonprofit developer Shielded Labs, Hornby responsibly disclosed the bug on May 29, leading to an emergency fix on June 1, 2026. The revelation nevertheless rattled markets, driving a 38% decline in Zcash’s price due to systemic fears over cloaked inflation.

Unlike Zcash’s hybrid architecture of transparent and shielded addresses, Monero enforces absolute transaction privacy by default, making its codebase a highly critical asset for the broader Web3 ecosystem. Hornby aims to seek a Zcash coinholder grant to fund further AI-assisted cryptographic analysis across the privacy-coin landscape.

  • The Discovery Tool: Anthropic’s Opus 4.8 LLM model.
  • The Vulnerability: Undetected infinite counterfeiting exploit within the Zcash Orchard pool.
  • The Next Target: Monero (XMR) and adjacent zero-knowledge protocols.

“I reported the flaw rather than exploit it because the Zcash developers were like family,” Hornby shared on social media, emphasizing that he could not live with that kind of betrayal.

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