Foundation-Sec-8B-Reasoning: First Open-Source AI Model for Cybersecurity Reasoning скачать в хорошем качестве

Foundation-Sec-8B-Reasoning: First Open-Source AI Model for Cybersecurity Reasoning

DESCRIPTION: Deep dive into Foundation-Sec-8B-Reasoning, the first open-source native reasoning model designed specifically for cybersecurity applications. Developed by Meta and Cisco's Foundation AI team, this groundbreaking model uses a two-stage training approach (Supervised Fine-Tuning + Reinforcement Learning with GRPO) to achieve exceptional performance on security tasks. In this video, we cover: The two-stage training pipeline (SFT + RL with GRPO algorithm) SFT dataset composition: 2 million exemplars across cybersecurity, math, and science How reinforcement learning sharpens reasoning accuracy Solving reward hacking and format degradation challenges Performance on 10 cybersecurity benchmarks (CTIBench, SecEval, MMLU-Security) General-purpose capabilities maintained across 10 additional benchmarks HarmBench safety evaluation with 98.25% pass rate using defense-in-depth Ablation study: SFT vs RL contributions Real-world applications: threat intelligence, vulnerability assessment, incident response The model outperforms Llama-3.3-70B-Instruct (9x larger) on multiple security tasks while maintaining strong general capabilities. Built on Llama-3.1-8B architecture, it's completely open-source for security researchers and practitioners. Paper: "Foundation-Sec-8B-Reasoning: Advancing Native AI Reasoning for Cybersecurity" Authors: Foundation AI Team (Meta/Cisco) #AI #Cybersecurity #MachineLearning #LLM #Llama #MetaAI #Cisco #AIReasoning #ThreatIntelligence #VulnerabilityAnalysis #OpenSource #DeepLearning #ReinforcementLearning #NLP #SecurityAI