AI audit tools for airdrop contracts cover vulnerabilities like reentrancy, integer overflows, access control issues, and phishing risks during token distribution. Tools like AuditBase, QuillShield, and AI Auditor use advanced LLMs to detect logic errors and common exploits, analyzing Solidity code for issues such as improper oracle usage or private key risks. They achieve up to 70-90% accuracy, identifying vulnerabilities missed by traditional scanners. However, they may struggle with complex business logic or novel attack vectors, requiring human expertise for comprehensive audits. Static and dynamic analyses ensure broad coverage, but limitations persist in detecting social engineering or ecosystem-specific exploits. Regular audits and integration with tools like Slither or Echidna enhance security.