
Enhancing Blockchain Security with AI
Fine-tuned LLMs for smart contract vulnerability detection
SmartLLM represents a breakthrough in smart contract auditing by leveraging customized large language models to detect vulnerabilities that traditional tools miss.
- Combines fine-tuned LLaMA 3.1 models with reinforcement learning to identify complex vulnerabilities
- Outperforms traditional static analysis tools with lower false-positive rates
- Capable of detecting dynamic vulnerabilities that conventional methods cannot identify
- Addresses critical security challenges in DeFi and blockchain ecosystems
This research significantly advances blockchain security by providing developers and auditors with more reliable tools to protect billions in digital assets from increasingly sophisticated exploits.
SmartLLM: Smart Contract Auditing using Custom Generative AI