🧠 Helix (CosmicSec AI)

Advanced Artificial Intelligence and Machine Learning threat detection engine.

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📖 Table of Contents

• Executive Summary
• Architecture & Domain
• Technical Specifications
• Getting Started
• Contributing
• License & Security

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🎯 Executive Summary

Helix represents the pinnacle of automated threat intelligence within the CosmicSec platform. Moving beyond traditional signature-based detection, Helix utilizes Large Language Models (LLMs), localized embeddings, and autonomous agentic workflows to identify zero-day threats, perform automated codebase audits, and drastically reduce SOC alert fatigue.

🏗️ Architecture & Domain

• Agentic Workflows (services/ai_service): Autonomous, multi-step entities capable of deeply analyzing source code, investigating network anomalies, and summarizing multi-vector threat campaigns.
• Model Inference Engine: A highly optimized pipeline integrating both cloud-based LLM APIs and privacy-compliant, localized embedding models (e.g., Llama, Mistral).
• Heuristic Data Pipelines: Intelligent parsing, normalization, and vectorization of vast datasets ingested from the platform.

🛠 Technical Specifications

• AI/ML Stack: LangChain, PyTorch, HuggingFace Transformers
• Vector Storage: Pinecone / Milvus / pgvector
• Processing: Celery / Ray for distributed ML tasks

🚀 Getting Started

Ensure you have the required AI model dependencies and API keys defined in your .env before starting the Helix workers:

# Install ML dependencies
pip install -r requirements.txt

# Start the Helix Inference Engine
python -m ai_service.main

🛡️ License & Security

Due to the sensitivity of AI threat models, this codebase is strictly confidential. All rights reserved by CosmicSec-Lab.