LLM-Enhanced Penetration Testing for Finance: Multi-Agent Architecture & Practice
The article details a large language model-enhanced penetration testing framework for financial services, combining a four-layer architecture, multi-agent collaboration, financial business semantic knowledge base, and reusable skill library to improve testing efficiency, business logic risk detection, and process standardization, validated through deployment at China Postal Savings Bank.
