nGuard
AI generates code. Nobody reads it line-by-line. The repo ships with the API key in .env.example, the IDOR in the user-lookup route, the missing auth on the admin endpoint. The customer finds it before you do.
nGuard is what reads it for you. Connect a GitHub repo. Six deterministic engines run in parallel. Every finding is backed by a file, a line, and a payload. AI generates code; nGuard verifies it.
SIGNAL_FLOW
Architecture
Inputs
Engine
Outputs
SYSTEM_CAPABILITIES
Production readiness for vibe-coded apps.
01
Secrets & Exposure
API keys, .env leaks, and secrets in git history. Caught before they ship.
02
Security (SAST + DAST)
IDOR, injection, missing auth, JWT misconfig, CVEs. Static and dynamic verification with reproducible payloads.
03
Reliability
Timeouts, retries, N+1 queries, unhandled errors, and graceful-shutdown gaps that collapse under load.
04
Test Coverage
Untested auth flows, payment handlers, and mutation routes. Flagged with file:line so the next AI fix has somewhere to land.
05
Deployment Readiness
Dockerfile, CI/CD workflows, health endpoints, and environment config. nGuard generates what's missing.
06
Observability
Structured logging, error tracking, and APM hooks. The runtime visibility vibe-coding tools skip.
CASE_STUDIES
Proven at Scale
Vibe-Coded MVP Audits
Founders shipping AI-built MVPs to real users. Catches the API keys, missing auth, and N+1 queries the AI tools could not see. Before the first customer discovers them.
Case Study →Agentic System Audits
Multi-agent systems where each agent has its own tools, scopes, and failure modes. nGuard verifies the boundaries are real, the guardrails fire, and the audit trail captures what's needed.
Case Study →Pre-Launch Readiness
Product teams validating prototypes before launch. Static and dynamic verification with a per-commit readiness score. Ship a feature, watch the score move.
Case Study →