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.
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, role changes, server-side code execution, transaction-control smuggling, system-catalog writes. Zero configuration. Active on day one. DELETE and UPDATE without WHERE are rewritten to be safe rather than rejected, so your agent gets a useful error and can retry.
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 a well-documented query slowdown on multi-tenant tables, with independent benchmarks showing 70x to 150x degradation before tuning. 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. PII columns are detected when you connect: schema metadata first, then a small number of sampled rows for format detection. Sample values are processed in-memory and not retained.
The deployment is one line
No SDK. No database extension. No schema change. Your Supabase project stays exactly as it is. Prisma, Drizzle, SQLAlchemy, node-postgres, everything works.
Why it 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:
Compliant on day one
SOC 2 evidence is generated automatically. Every blocked query is logged with identity, source, and policy decision, so your audit story is ready before due diligence asks.
Sub-millisecond at wire speed
Single-digit microsecond overhead per query on typical workloads. Your tail latencies stay where you left them and your demos stay snappy in front of investors.
Investor-safe defaults
Production-grade policies ship out of the box. No bespoke rule-writing required to pass a security review for a Series A or seed extension.
Autonomy without anxiety
Your AI agents keep moving fast. Engineering keeps shipping. The board keeps approving the burn rate, because the blast radius is bounded by policy, not hope.
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.
Startup
Coming soon
250k queries/DB/mo
Pro
Coming soon
2M queries/DB/mo
Business
Coming soon
10M queries/DB/mo, 10-DB min
Related features
Safe Boundary capabilities work together as a single defense layer in front of your database. Combine identity, query control, masking, and audit to build the policy your team and your auditors actually need.
Instant query blocking
Block destructive SQL before it reaches Postgres. Sub-millisecond decisions, zero application changes.
Explore moreAutomated PII masking
Detects and masks names, emails, SSNs in result rows at the proxy, so your agents never see what they should not.
Explore moreDeep SQL rewriting
Coerce unsafe patterns into safe ones at the wire. Bounded LIMIT, scoped WHERE, surface explanations to the agent.
Explore moreAI agent identity
Distinct identity per agent, per task, per environment. Policies, audit trail, and rate limits scoped accordingly.
Explore moreEvery feature is enforced at the proxy, no application changes, no SDK to install, no database migration required.
Configure your first rewrite rule, no application code changes required.
Free for 1 database. No credit. No Time limit. Full AI SQL Injection prevention.