Real rights-safe Pexels photo of computer code on a laptop screen for an AI-assisted crypto security audit story.

The AI That Cracked Zcash Just Put Monero on Its List

By Isaac • June 7, 2026 8:44 am • Comments

The Zcash bug did not end with one emergency patch. It opened a queue.

CoinDesk reported on June 6 that Taylor Hornby, the security engineer who used Anthropic’s Opus 4.8 model to find a critical Zcash flaw, now plans to audit Monero next.

Hornby was hired by Shielded Labs in April to find protocol bugs before attackers could. He found one fast.

Trending: Zcash Crashes After a Counterfeit-Token Bug Sat in the Privacy Pool for Four Years

The flaw lived inside Zcash’s Orchard privacy pool since May 2022. Left unfixed, it could have allowed unlimited counterfeit ZEC to be minted undetected.

Hornby spotted it on May 29. Shielded Labs pushed an emergency fix live by June 1, and the team says the vulnerability has been remediated.

That speed matters because supply integrity is the whole point of a privacy chain. A shielded pool is supposed to keep balances private while keeping the math honest.

Zcash fell sharply after the disclosure. The market reaction was about confidence in that math, not a confirmed theft.

No source has shown the bug was exploited. Haseeb Qureshi laid out how an exploit would have looked and called it very unlikely it happened.

CoinDesk added these details:

According to CoinDesk: Taylor Hornby, the security engineer who used Anthropic’s Opus 4.8 model to find a critical Zcash bug, says Monero is among the tokens he intends to audit next. The Zcash flaw sat inside the Orchard privacy pool since May 2022, could have allowed unlimited counterfeit ZEC to be minted undetected, and prompted an emergency fix by June 1 after its May 29 discovery.

Hornby was hired by Shielded Labs in April to find protocol bugs before attackers could find them. The Monero angle matters because it turns a single Zcash disclosure into a broader AI-assisted audit queue for privacy-focused crypto.

Taylor Hornby, the security engineer who used Anthropic’s Opus 4.8 model to find a critical Zcash bug, says Monero is among the tokens he plans to audit next. The Zcash Orchard flaw had been hidden since May 2022 and could have allowed unlimited counterfeit ZEC to be minted undetected.

Hornby found the Zcash flaw on May 29 and that Shielded Labs pushed through an emergency fix by June 1. The incident intensified fears that increasingly powerful AI systems may expose similar hidden vulnerabilities across crypto networks and traditional banking software.

That is the line readers should hold onto. Finding a dangerous flaw and proving someone used it are two different facts.

The bigger story is what the discovery method signals. CoinDesk reported on June 5 that the incident intensified fears that increasingly powerful AI systems may expose similar hidden vulnerabilities across crypto networks and traditional banking software.

Ben Goertzel of SingularityNET warned that bank and centralized-institution software likely contains serious bugs that AI tools may surface. Old code does not get safer with age.

It just gets less scrutinized.

CertiK CEO Ronghui Gu described the threat as an AI token-consumption war. A profit-motivated attacker can spend heavy AI resources against one target, while defenders have to cover many clients at once.

That asymmetry favors the attacker on any given day. It rewards patient, well-funded adversaries pointed at a single chain or a single bank ledger.

Qureshi offered the constructive read. AI that finds vulnerabilities can also improve code, and he argued formal verification is the path to harden software across the industry.

CoinDesk added these details:

According to CoinDesk: The Zcash incident intensified fears that advanced AI systems will uncover hidden vulnerabilities across crypto networks and traditional banking software. Ben Goertzel of SingularityNET warned similar bugs are likely in bank and centralized-institution software, while Haseeb Qureshi argued AI-assisted formal verification can harden mission-critical code.

CertiK CEO Ronghui Gu described an asymmetric security environment in which profit-motivated attackers can spend major AI resources on a single target while defenders must protect many clients. The source turns the story from one privacy-coin bug into a wider financial-software security warning.

Hornby found the Zcash flaw on May 29 and that Shielded Labs pushed through an emergency fix by June 1. The incident intensified fears that increasingly powerful AI systems may expose similar hidden vulnerabilities across crypto networks and traditional banking software.

Ben Goertzel of SingularityNET warned that bank and centralized-institution software likely contains serious bugs that AI tools may find. Haseeb Qureshi argued AI finding vulnerabilities can improve code and that formal verification is the path to harden software across the industry.

CertiK CEO Ronghui Gu described an AI token-consumption war in which profit-motivated attackers can spend heavy AI resources against one target.

The Monero angle is where this gets concrete. Hornby putting XMR on his list turns a single Zcash disclosure into a running audit program for privacy-focused crypto.

The Monero community is treating it as a feature, not a threat. One privacy wallet team said it welcomes the audit and plans to donate to the effort.

That is the right posture. A chain that invites an AI-assisted audit is betting its code can survive one, and that is a better bet than hoping a four-year-old flaw stays buried.

The next frontier in crypto security is not a faster exploit. It is a faster, cheaper way to read every line of mission-critical code, and the people building privacy systems now have to assume the auditors and the attackers are using the same tools.

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