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NeonShade Labs

Building offline-first AI models for threat intelligence

NeonShade Labs delivers secure, offline-first intelligence tools designed for modern threat landscapes. Key features include: • Local inference for security research • Threat analysis of malware and attack patterns • Automated code analysis and vulnerability research • Custom model training and intelligence pipelines This platform empowers security researchers with advanced capabilities without compromising data privacy or control. All models run entirely on-premise, ensuring no data leaves your environment and offering full control over model weights, prompts, and outputs. This architecture supports air-gapped operations, making it ideal for highly sensitive research. Built for the security research lifecycle, NeonShade Labs provides detailed breakdowns of threats, assists in finding issues within security layers, and detects anomalies. It offers structured OSINT collection, enrichment, and correlation, along with APIs for seamless integration into existing security workflows, SIEMs, and research platforms. Perfect for cybersecurity teams, government agencies, and private researchers focused on deep threat analysis, vulnerability discovery, and incident response, who prioritize data sovereignty and operational independence.
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