Offline AI Security Scanner Avoids LLM Hallucinations with Multi-Stage Pipeline

A new AI security scanning platform called AiSec Studio has been developed to address the issue of Large Language Models (LLMs) hallucinating findings. Unlike traditional AI scanners that feed raw data directly to LLMs, AiSec Studio employs a multi-stage pipeline. This pipeline first uses deterministic parsers and a rule engine to identify potential vulnerabilities, then populates a knowledge graph. Only after these steps does a local LLM process structured summaries of the findings to provide explanations and reasoning, rather than discovering vulnerabilities itself. This approach aims to provide more accurate and auditable security reports. AI

IMPACT This approach could lead to more reliable AI-assisted security tools by mitigating LLM hallucination risks.

RANK_REASON The item describes a new product/tool for AI security scanning.

Read on dev.to — LLM tag →

• AiSec Studio
• DeepSeek-Coder
• llama.cpp
• LLM
• Ollama
• Qwen2.5-Coder

• product
• infra

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