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 Foundation-Sec-8B (Llama-3.1-FoundationAI-SecurityLLM-base-8B) is an open-weight, 8-billion parameter base language model specialized for cybersecurity applications. It extends Llama-3.1-8B model through continued pretraining on a curated corpus of cybersecurity-specific text, including threat intelligence reports, vulnerability databases, incident response documentation, and security standards. It has been trained to understand security concepts, terminology, and practices across multiple security domains. The model is designed to serve as a domain-adapted base model for use in applications such as threat detection, vulnerability assessment, security automation, and attack simulation. Foundation-Sec-8B enables organizations to build AI-driven security tools that can be deployed locally, reducing dependency on cloud-based AI services while maintaining high performance on security-related tasks.
 
 - **Model Name:** Foundation-Sec-8B (Llama-3.1-FoundationAI-SecurityLLM-base-8B)
-- **Model Developer:** Amin Karbasi and team at Foundation AI — Cisco
+- **Model Developer:** Foundation AI at Cisco
 - **Technical Report:** [`https://arxiv.org/abs/2504.21039`](https://arxiv.org/abs/2504.21039)
-- **Model Card Contact:** For questions about the team, model usage, and future directions, contact [`karbasi@cisco.com`](mailto:[email protected]). For technical questions about the model, please contact [`[email protected]`](mailto:[email protected]).
+- **Model Card Contact:** https://fdtn.ai/contact
 - **Model Release Date:** April 28, 2025
 - **Supported Language(s):** English
 - **Model Architecture:** Auto-regressive language model that uses an optimized transformer architecture (Meta Llama-3.1-8B backbone)