An AI model has revealed a significant flaw in Zcash, a leading privacy-focused cryptocurrency, which could have enabled the issuance of unlimited tokens. This vulnerability, discovered by Shielded Labs, caused Zcash's value to plummet by nearly 38%. The incident has raised alarms across the crypto community, with experts warning that similar bugs could be lurking in both cryptocurrency and traditional banking systems. Prominent figures in the crypto space, including Haseeb Qureshi from Dragonfly, argue that AI's role in identifying such vulnerabilities can ultimately strengthen software security through formal verification. This process involves creating mathematical proofs that can be automatically checked, potentially eliminating implementation bugs. However, challenges remain, as many developers do not currently use formal verification due to its complexity. Additionally, security firms are struggling to keep pace with profit-driven hackers who exploit vulnerabilities using advanced AI tools. As the debate on how to enhance security continues, the consensus is that formal verification may be the key to preventing future incidents.