Data access security

Supabase Security Audit and RLS Hardening

Close risky access paths, validate policy coverage, and secure your Supabase-backed application before growth.

Common symptoms

  • - RLS rules are incomplete, duplicated, or hard to reason about
  • - Uncertainty on which endpoints expose sensitive data
  • - Policy changes create side effects in unrelated flows
  • - No repeatable process to validate access boundaries

Business risks

  • - Unauthorized data exposure from policy gaps
  • - Regulatory and contractual risk from weak controls
  • - Slow incident response due to unclear data access model
  • - Lost trust from customers and partners

How AI2H handles it

  1. - Audit schema, API paths, and effective RLS behavior
  2. - Model role-based access against real user journeys
  3. - Refactor policies for clarity, coverage, and maintainability
  4. - Document security baseline for future releases

Expected outcomes

  • - Stronger data protection with auditable access logic
  • - Lower probability of privilege and leakage incidents
  • - Safer release process for schema and policy updates

Need a fast diagnosis on your codebase?

AI2H helps teams convert fragile AI-generated code into secure, scalable, maintainable production systems.

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