AI-powered security auditing for smart contracts can:

1. _Identify vulnerabilities_: AI can detect potential security vulnerabilities, such as reentrancy attacks, unsecured variables, and unchecked send/transfer.

2. _Analyze code patterns_: AI can recognize patterns in code that may indicate security risks, such as unsafe use of external data.

3. _Detect backdoors and hidden vulnerabilities_: AI can identify potential backdoors and hidden vulnerabilities that may not be apparent to human reviewers.

4. _Provide recommendations for remediation_: AI can suggest fixes and improvements to address identified vulnerabilities.

5. _Automate security testing_: AI can simulate attacks and test smart contracts for security vulnerabilities, reducing the need for manual testing.

6. _Continuously monitor for new vulnerabilities_: AI can continuously scan for new vulnerabilities and alert developers to potential issues.

7. _Analyze dependencies and libraries_: AI can identify potential security risks in dependencies and libraries used by the smart contract.

8. _Check for compliance with security standards_: AI can ensure smart contracts comply with established security standards and best practices.

9. _Detect and prevent denial-of-service (DoS) attacks_: AI can identify and prevent potential DoS attacks on smart contracts.

10. _Provide a security score and report_: AI can generate a security score and report, providing a comprehensive overview of the smart contract's security posture.

By leveraging AI-powered security auditing, developers can ensure their smart contracts are secure, resistant to attacks, and compliant with established security standards.