Enhancing Intrusion Detection with AI: A Two-Tier Approach

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This presentation introduces an AI-based Intrusion Detection System combining machine learning and large language models to enhance real-time network security. The system, notable for its 99.46% accuracy, implements a five-layer architecture from data capture to actionable reporting. It integrates advanced technologies such as Python, HuggingFace, and the Groq API for robust performance and low false positives. Future advancements include unsupervised anomaly detection and improved LLM prompt...