Llama-3.1-FoundationAI-SecurityLLM-Base-8B Technical Report
As transformer-based large language models (LLMs) increasingly permeate
society, they have revolutionized domains such as software engineering,
creative writing, and digital arts. However, their adoption in cybersecurity
remains limited due to challenges like scarcity of specialized training data
and complexity of representing cybersecurity-specific knowledge. To address
these gaps, we present Foundation-Sec-8B, a cybersecurity-focused LLM built on
the Llama 3.1 architecture and enhanced through continued pretraining on a
carefully curated cybersecurity corpus. We evaluate Foundation-Sec-8B across
both established and new cybersecurity benchmarks, showing that it matches
Llama 3.1-70B and GPT-4o-mini in certain cybersecurity-specific tasks. By
releasing our model to the public, we aim to accelerate progress and adoption
of AI-driven tools in both public and private cybersecurity contexts.
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Paul Kassianik
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Paul Kassianik
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Baturay Saglam
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2025-05-05T08:01:50.509Z
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Baturay Saglam
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Alexander Chen
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Alexander Chen
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Blaine Nelson
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Anu Vellore
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Anu Vellore
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Massimo Aufiero
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2025-05-05T08:02:22.238Z
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Massimo Aufiero
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Fraser Burch
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2025-05-02T06:34:53.958Z
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Fraser Burch
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Dhruv Kedia
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Avi Zohary
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2025-05-05T08:02:44.481Z
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Avi Zohary
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Sajana Weerawardhena
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2025-08-14T13:41:51.907Z
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Sajana Weerawardhena
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Aman Priyanshu
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2025-05-02T06:34:56.066Z
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Aman Priyanshu
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Adam Swanda
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2025-05-05T08:03:23.920Z
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Adam Swanda
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Amy Chang
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2025-06-04T09:04:52.140Z
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Amy Chang
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Hyrum Anderson
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2025-05-05T08:03:30.859Z
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Hyrum Anderson
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Kojin Oshiba
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Omar Santos
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2025-05-05T08:04:30.924Z
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Omar Santos
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Yaron Singer
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2025-05-05T08:04:25.095Z
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Yaron Singer
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Amin Karbasi
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2025-08-11T06:48:27.176Z
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amin karbasi
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Llama-3.1-FoundationAI-SecurityLLM-Base-8B Technical Report
As transformer-based large language models (LLMs) increasingly permeate
society, they have revolutionized domains such as software engineering,
creative writing, and digital arts. However, their adoption in cybersecurity
remains limited due to challenges like scarcity of specialized training data
and complexity of representing cybersecurity-specific knowledge. To address
these gaps, we present Foundation-Sec-8B, a cybersecurity-focused LLM built on
the Llama 3.1 architecture and enhanced through continued pretraining on a
carefully curated cybersecurity corpus. We evaluate Foundation-Sec-8B across
both established and new cybersecurity benchmarks, showing that it matches
Llama 3.1-70B and GPT-4o-mini in certain cybersecurity-specific tasks. By
releasing our model to the public, we aim to accelerate progress and adoption
of AI-driven tools in both public and private cybersecurity contexts.
Foundation-Sec-8B, a LLM enhanced with cybersecurity-specific training, matches high-performance models in cybersecurity tasks and promotes AI adoption in the field.
transformer-based large language models LLMs Llama 3.1 GPT-4o-mini cybersecurity-focused LLM continued pretraining cybersecurity corpus cybersecurity benchmarks