The database firewall built for AI agents on Supabase

One port change. Sub-millisecond. Your LLM agents can't destroy your production database, leak PII, or bypass row-level security — without you changing a line of application code.

Stack diagram — Supabase Auth → Application → Safe Boundary proxy → Supabase PostgreSQL

Spectral Core — Established 2004 · Microsoft Partner · Google Partner · ISO 27001 Certified

Your AI agent just got unrestricted database access

When you connect an LLM agent to Supabase, it inherits the database credentials you give it. That usually means broad access — because writing fine-grained SQL policies for every possible agent action is impractical, and because you can't predict what queries an LLM will generate two model versions from now.

This is the unsolved problem. The agent that correctly fetches user data today might generate DELETE FROM users with no WHERE clause tomorrow, because a prompt changed or a context window overflowed. It's not a bug in your code — it's the nature of non-deterministic SQL generation at production scale.

What Safe Boundary does

Safe Boundary sits between your application and your Supabase PostgreSQL database as a transparent proxy. Every query passes through it before reaching the database.

It blocks the obvious catastrophes: DROP TABLE, TRUNCATE, DELETE without WHERE, UPDATE without WHERE. Zero configuration. Active on day one.
It rewrites the subtle ones: When your agent generates a query that's dangerous but not obviously wrong, Safe Boundary doesn't just reject it — it rewrites it to be safe while preserving the intent. No application error. No broken user experience.
It enforces what your Supabase RLS should be doing: PostgreSQL's native RLS causes 11x+ query slowdown on multi-tenant tables. Safe Boundary enforces the same isolation at the proxy layer — injecting tenant conditions before queries hit the database. Same guarantees, full index utilization.
It masks PII automatically: Every query result that contains names, emails, phone numbers, or financial data is masked before it reaches your application or agent. GDPR-compliant from the moment it's deployed.

The deployment is one line

# Before
DATABASE_URL=postgresql://postgres:[password]@db.yourproject.supabase.co:5432/postgres

# After — Safe Boundary in the path
DATABASE_URL=postgresql://postgres:[password]@safeboundary.yourproject.example.com:5433/postgres

No SDK. No database extension. No schema change. Your Supabase project stays exactly as it is. Prisma, Drizzle, SQLAlchemy, node-postgres — everything works.

Why this matters for your funding round

Series A due diligence now includes security reviews. Investors ask about AI agent access controls, PII handling, and compliance posture. Safe Boundary gives you:

A complete audit trail of every query your agents executed — allowed, blocked, rewritten, masked
Automatic GDPR and SOC 2 compliance evidence with no manual work
A credible answer to "what happens if your AI agent generates a destructive query?" — you already have a real answer, with log data to prove it.

Real threat context

A 56,000-star AI application shipped with a textbook SQL injection flaw affecting PostgreSQL connectors (CVE-2026-32628) — disclosed March 2026. The Lovable breach exposed 18,000 users. 13% of organizations reported AI-related security incidents in 2025. These are not theoretical.

Pricing for AI startups

Start free. No credit card. No time limit.

	Starter	Shield	Pro
Price	Free	$149/db/mo	$499/db/mo
Deployment	Cloud-hosted	Cloud-hosted	Your VPC
Databases	1	Up to 3	Unlimited
Query blocking	✓	✓	✓
AI query rewriting	✓	—	✓
PII masking	—	—	✓
Proxy-layer RLS	—	—	✓
Log retention	7 days	30 days	1 year
VPC deployment	—	—	✓

A funded startup with 3 databases pays $1,497/month on Pro — roughly one team lunch. The average AI-related breach costs $4.8M.

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