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Next-generation AI-powered cyber search engine utilizing MCP and a custom backend.
-- PROJECT / DarkHound
<- Projects DarkHound
Digital Forensics & Incident Response (DFIR)
DarkHound is a security hunting platform with a web UI, SSH-based asset sessions, configurable hunt modules, AI-assisted analysis, findings, timelines, enrichments, and executive report generation.
Product screens
Source images ->
Highlights
- Asset manager with SSH credentials, sudo support, and CSV import/export.
- Hunt module CRUD and execution with step orchestration.
- AI executive report generation with streaming output.
- Findings, timelines, and enrichment events over WebSocket.
- Docker-based dev environment with Postgres, Vault, backend, and frontend.
Skills
Builder note
This is the most direct expression of DFIR experience as product: codified hunts, remote sessions, enrichment, and reporting stitched into one platform.
System shape
The architecture combines a Python API, React UI, Postgres persistence, Alembic migrations, optional Vault integration, and WebSocket-driven visibility.