Overview
SecLLM-Gen is a cybersecurity-oriented LLM application covering both offensive and defensive use cases, with retrieval-augmented generation (RAG) over security data such as CVEs.
It was built as a study project to explore how LLMs can assist security analysis, from understanding vulnerabilities to defensive triage.
Key Features
- LLM app for offensive and defensive security
- RAG pipeline over CVE and IDS-related data
- Experimentation-focused codebase
Tech Stack
Built in Python with an LLM + RAG stack. See the repository for details and disclaimers on responsible use.
Source Code