AI-powered vulnerability scanners are increasingly using Retrieval-Augmented Generation (RAG) models to improve the detection of security issues in infrastructure. RAG is a technique that combines large language models (LLMs) with external knowledge sources, enabling an AI to retrieve up-to-date, domain-specific information and utilize it to generate more accurate and context-aware results. In the cybersecurity domain, […]

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Puja Saikia

Source: Security Boulevard
Source Link: https://securityboulevard.com/2025/08/how-rag-models-work-in-ai-based-vulnerability-scanner/?utm_source=rss&utm_medium=rss&utm_campaign=how-rag-models-work-in-ai-based-vulnerability-scanner