Connect your full stack.
Pull context from Lovable, Cursor, GitHub, Supabase, Vercel, OpenAI, Stripe, and Clerk into one readiness view.
What we do
01/03
AI-built apps create scattered security and compliance signals. ValidantLab connects them into a single readiness workflow for review.
By combining provider context, trust-boundary scanning, and AI, we surface tenant, storage, identity, payment, and deployment risks with precision.
Through approved fixes, generated tests, evidence records, and report excerpts, teams see what changed while human review remains required.
Features
Fix security issues early.
Scan trust boundaries.
Agents trace tenant data, storage policies, identity claims, and deployment posture across every layer.
Surface critical findings.
Prioritize risks by exposure severity — public uploads, missing RLS, unscoped prompts, and open endpoints.
Stage approval-gated fixes.
Generate low-risk remediation candidates. Nothing ships without explicit human approval.
Generate evidence artifacts.
Policy diffs, regression tests, reviewer records, and control mappings — only after approved fixes.
Assemble readiness reports.
Summarize residual risk, approval status, and compliance mappings in a single reviewable narrative.
From vibe coded to enterprise ready — Prototype to production-ready — Vibe to verified — From vibe coded to enterprise ready — Prototype to production-ready — Vibe to verified — From vibe coded to enterprise ready — Prototype to production-ready — Vibe to verified — From vibe coded to enterprise ready — Prototype to production-ready — Vibe to verified —
Our Mission
AI-built apps ship fast and leave compliance behind. We map what was missed.
We pull context from your entire stack — code, cloud, identity, payments, and deployments and trace exactly where trust boundaries break down before a reviewer ever touches the system.
Eight providers. One readiness view. We map what your AI assistant shipped but didn't document — storage policies, identity claims, prompt boundaries, and deployment posture all in one place.