Hound: Open AI Harness for Security Audits
Hound is an open-source AI harness for auditing codebases, using broad code mapping, multi-lens analysis, and model-based judging to surface potential vulnerabilities. Its early-stage workflow is better at finding promising areas than reliably identifying confirmed bugs.
Hound is an honest take on AI security research: orchestration can expand coverage, but verification remains the hard part.
- –Builds adaptive knowledge graphs to reason across architecture, access control, data flows, and code relationships
- –Uses multiple specialized passes before separate judging stages review candidate findings
- –Supports focused investigations and final confidence scoring rather than treating every model output as a vulnerability
- –Cloud-only operation limits use on confidential code, since scans send source to external model APIs
- –Best suited today as a first-pass audit assistant for small-to-medium codebases, not an autonomous replacement for security researchers
DISCOVERED
58m ago
2026-11-02
PUBLISHED
1h ago
2026-11-02
RELEVANCE
AUTHOR
0x0SojalSec