An Evidence-First Security Intelligence System.
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KERNEL ā AI Powered Security Intelligence KERNEL is an Evidence-First security intelligence system designed for high-precision reconnaissance and automated threat reasoning. It bridges the gap between raw data collection and actionable security insights using advanced AI.
š Key Features Evidence-First Logic:
Collects raw HTTP, DNS, and TLS handshakes before performing AI analysis. Contextual Copilot: An interactive, state-aware assistant to explain findings or generate verification scripts. Zero-Persistence Architecture: Designed for total privacy. No API keys or scan results are stored server-side. Real-time Streaming: Progressive updates delivered via NDJSON as the scan unfolds. Multi-Model Support: Works with Gemini 2.5 Flash and GPT-4o.
š ļø Quick Start Run the latest version of KERNEL with a single command:
docker run -p 3000:3000 codekid404/kernel:latest Then visit http://localhost:3000ā in your browser.
š Privacy & Security:
KERNEL is built with a Zero-Persistence Policy. Your API keys and scan data exist only within your browser session memory. Data is sent directly to your chosen LLM provider (Google/OpenAI) and is never intercepted or logged by the KERNEL host.
šØāš» Links & Support:
Creator: Roy Ajikumar Disclaimer: KERNEL is intended for authorized security research only. Users are responsible for ensuring they have permission to test their targets.
Content type
Image
Digest
sha256:0f260234fā¦
Size
69.6 MB
Last updated
9 months ago
docker pull codekid404/kernel:v1