This systematic review explores how Large Language Models (LLMs) are transforming blockchain security approaches and capabilities.

• Smart Contract Auditing: LLMs can detect vulnerabilities and security flaws in smart contract code
• Transaction Monitoring: AI-powered anomaly detection helps identify suspicious blockchain transactions
• Vulnerability Repair: Automated identification and remediation of blockchain security weaknesses
• Security Analysis: Enhanced program analysis capabilities for complex blockchain systems

As blockchain adoption grows across industries, LLM integration offers a promising pathway to address the critical security challenges that have plagued decentralized systems. These AI-powered approaches could significantly reduce security incidents while improving development efficiency.

Large Language Models for Blockchain Security: A Systematic Literature Review