Llama-3.1-FoundationAI-SecurityLLM-8B-Instruct Technical Report
Sajana Weerawardhena, Paul Kassianik, Blaine Nelson, Baturay Saglam, Anu Vellore, Aman Priyanshu, Supriti Vijay, Massimo Aufiero, Arthur Goldblatt, Fraser Burch, Ed Li, Jianliang He, Dhruv Kedia, Kojin Oshiba, Zhouran Yang, Yaron Singer, Amin Karbasi
2025-08-05
Summary
This paper talks about Foundation-Sec-8B-Instruct, an advanced large language model (LLM) made especially for cybersecurity tasks. It can have chat-style conversations and follow instructions related to security better than many other models.
What's the problem?
The problem is that most general-purpose AI models are not good enough at handling specific and complex cybersecurity issues, which require deep knowledge and understanding of security terms, threats, and techniques.
What's the solution?
Foundation-Sec-8B-Instruct was created by training a large LLM with special cybersecurity data and instruction tuning so it can understand detailed security concepts and respond effectively in chat-style interactions about cybersecurity problems.
Why it matters?
This matters because it helps security teams use AI tools that are much better at detecting threats, solving security problems, and providing advice, all while allowing organizations to keep their security tools running locally without depending on outside cloud services.
Abstract
Foundation-Sec-8B-Instruct is a cybersecurity-focused LLM designed for chat-style interactions and instruction-following, outperforming other models in cybersecurity tasks while matching their instruction-following capabilities.