Context Stability
Row-Level Security and AI: What You Must Validate
RLS affects AI answers and must be validated with realistic AI queries.
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User role drives RLS filter and visible data for AI answers.
TL;DR
- • AI must honor the same RLS rules as users.
- • Test RLS with AI‑style queries.
The problem (layman)
- • RLS changes what data is visible, which changes answers.
- • AI can accidentally bypass expected security if not configured.
Why it matters
- • Security breaches are critical risks.
- • Inconsistent access erodes trust.
Symptoms
- • Different users receive different answers unexpectedly.
- • AI mentions data outside a user’s access.
Root causes
- • RLS tested only in reports, not in AI flows.
- • Complex role logic not documented.
What good looks like
- • RLS tested with AI query patterns.
- • Clear mapping of roles to data access.
How to fix (steps)
- • Create RLS test scenarios for AI queries.
- • Log and review AI responses for access boundaries.
- • Document RLS rules in the model.
Pitfalls
- • Assuming report RLS equals AI RLS.
- • Testing with only one role.
Checklist
- • RLS test suite for AI queries.
- • Audit logs for access issues.
- • Role documentation complete.