AIAuditTrack: A Framework for AI Security System
Published:Dec 26, 2025 05:00
•1 min read
•ArXiv AI
Analysis
This paper introduces AIAuditTrack (AAT), a blockchain-based framework designed to address the growing security and accountability concerns surrounding AI interactions, particularly those involving large language models. AAT utilizes decentralized identity and verifiable credentials to establish trust and traceability among AI entities. The framework's strength lies in its ability to record AI interactions on-chain, creating a verifiable audit trail. The risk diffusion algorithm for tracing risky behaviors is a valuable addition. The evaluation of system performance using TPS metrics provides practical insights into its scalability. However, the paper could benefit from a more detailed discussion of the computational overhead associated with blockchain integration and the potential limitations of the risk diffusion algorithm in complex, real-world scenarios.
Key Takeaways
Reference
“AAT provides a scalable and verifiable solution for AI auditing, risk management, and responsibility attribution in complex multi-agent environments.”