AI tools flood crypto security programs with bug reports, raising quality concerns
The use of artificial intelligence to find security vulnerabilities in crypto projects has surged, but so has the amount of low-quality or false reports submitted to bug bounty programs. Bug bounty programs reward people for finding and reporting security flaws before attackers can exploit them. While AI can identify real problems faster than humans alone, it's also generating many reports that are either incorrect, already known, or irrelevant. This creates extra work for security teams who must sift through hundreds of submissions to find the genuine issues. The challenge is balancing the efficiency gains of AI with the noise it creates. This trend could either improve security if filtered properly, or waste resources if teams get overwhelmed.
Why it matters
Better security tools can prevent hacks that hurt crypto users, but quality matters more than quantity. If AI floods bug bounty programs with garbage, real vulnerabilities might be missed in the shuffle.
