AiSec Studio Uses Deterministic Pipeline to Stop AI Security Scanners from Hallucinating

Developer AiSec Studio is an offline AI security research platform designed to prevent the hallucination problem common in LLM-based vulnerability scanners. The tool runs every scan through a structured pipeline — parser, rule engine, and knowledge graph — before a local language model ever processes any data. Vulnerability detection is handled entirely by deterministic rules and AST parsers, while the LLM is restricted to explaining and correlating findings already confirmed by the system. All findings must include evidence, a confidence score, a risk level, and a suggested fix, or the system flags them for manual review instead of generating a conclusion. The platform runs fully offline using models like Qwen2.5-Coder or DeepSeek-Coder via Ollama or llama.cpp, with no cloud API involvement at any stage.