An artificial intelligence model has identified a security flaw in the Zcash network that went undetected for four years. Researchers behind the AI say the same type of vulnerability could lurk in other cryptocurrency protocols — and even in the systems that power traditional banking.
The vulnerability
The flaw was found in the cryptographic code underlying Zcash, a privacy-focused cryptocurrency. The AI model flagged the issue during a routine audit of the network's source code. While details remain under wraps pending a patch, the discovery suggests that automated systems can find bugs that human reviewers missed for years.
Wider implications
The researchers issued a warning that similar vulnerabilities might exist in other blockchain projects and conventional financial infrastructure. They argue that many systems, especially older ones, have not been systematically scanned by modern AI tools. The banking sector, which relies on decades-old legacy code in some cases, could face analogous risks.
Zcash developers have been notified and are working on a fix. The team behind the AI model is expected to release a broader analysis of its findings in the coming weeks. Meanwhile, security experts are urging crypto projects to run their own AI-based audits — before something worse than a four-year-old bug surfaces.
