Many engineering teams are moving authorization inward by adopting Postgres RLS, but they lack lightweight, repeatable ways to validate that policies actually enforce intended access. This problem affects application developers, security engineers, and QA across roughly 2 million development teams that collectively represent an $8.0B addressable spend (about $4,000 ACV per team), producing subtle regressions, compliance risk, and slow releases when policies break. A practical product would be an RLS testing playground built on pglite to spin up ephemeral Postgres instances, let teams author schemas and role/tenant scenarios, and run deterministic policy tests with coverage and mutation analysis. Core capabilities would include an SDK/DSL for visibility matrices, visual diffs of policy effects, CI integration, and a free OSS core with paid features like parallel runners, audit trails, and enterprise connectors. The main engineering challenge is modeling policy combinatorics and transactional context accurately and efficiently, but modern ephemeral infra makes isolation and speed tractable. Market timing is favorable: rising RLS adoption, ephemeral infra (pglite/testcontainers), and shift-left security drive latent demand, and the opportunity scores well (market score 88/100, revenue potential 84/100) despite medium competition. To stand out you must deliver true Postgres-native fidelity (simulate roles and transactions exactly), an exceptionally low-friction developer UX, and hard-to-replicate CI/coverage features; the trade-offs are early integration effort, the need to win trust from security teams, and a clear plan to convert an open-source base into paying customers.