Prevent tenant data leakage

Safe Boundary enforces row-level security per tenant, per query, in real time, at the proxy layer, not inside the database engine. Same isolation guarantees across PostgreSQL, Oracle, SQL Server, and MySQL. No RLS performance penalty. Automatic injection of missing tenant conditions.

The risk

Tenant isolation is the hardest problem in multi-tenant SaaS

One tenant seeing another's data is a company-ending event.

It almost never happens because of a malicious actor, it happens because a developer forgot WHERE tenant_id = ?, or an AI agent generated SQL without tenant context, or a new engineer missed the convention.

Native row-level security (Postgres RLS, Oracle VPD, SQL Server RLS) is the right concept but painful at production scale, with documented 70x to 150x slowdowns, sequential scans, and timeouts on multi-table joins. Teams disable RLS and trust the app layer, where leaks happen.

How it works

How Safe Boundary enforces tenant isolation

Three controls run on the wire, not in your application: tenant predicates injected before execution when the tenant context is known, missing-tenant queries refused when it isn't, and missing indexes flagged before they cause an outage. Same RLS guarantees that native engines promise, without the RLS performance penalty.

Performance

The native RLS penalty

The native RLS performance problem is well-documented across all engines. Postgres benchmarks below; Oracle's VPD and SQL Server's RLS exhibit similar patterns. Multiple independent Postgres benchmarks show common multi-tenant patterns running 70x to 150x slower than the same query without RLS, before any expert tuning is applied.

Workload	RLS slowdown vs. no RLS	Source
1M-row table, subquery-based RLS policy	~150x	Dian M Fay
Join-based RLS policy on a tenant-scoped table	70x to 110x	agonopol benchmark, GitHub
Unwrapped helper functions on large tables	1,500x and up	Supabase RLS performance docs

The reasons are architectural. Helper functions like auth.uid() are treated as volatile and re-evaluated per row. Policies act as security barriers that defeat predicate pushdown, force sequential scans, and break index-only scans and partition pruning. Mitigations exist (wrap auth functions in subqueries, mark helpers STABLE, denormalize tenant_id, index every policy column), but they require deep engine-specific tuning expertise that most application teams cannot dedicate.

Safe Boundary takes a different path. Tenant predicates are injected at the proxy layer before the query reaches the database engine, so the planner sees a regular WHERE clause it can use the index on. Same isolation guarantees as RLS, none of the policy-evaluation overhead.

First-class AI agent identity

Named agents with scoped policies, example configuration:

Violations: blocked. Allowed queries: full audit, agent, tenant, outcome.

Pricing

Pricing for Multi-Tenant SaaS

Scale tiers follow your tenant and database growth, no per-seat traps.

Startup

Coming soon

250k queries/DB/mo

Pro

Coming soon

2M queries/DB/mo

Business

Coming soon

10M queries/DB/mo, 10-DB min

Proxy deployment

Cloud-hosted

In your VPC

In your VPC, multi-region

AI classification deployment

Cloud-hosted

In your VPC

Unlimited protected databases

Schema-aware custom rules

Unlimited

Proxy-layer RLS + tenant-condition injection

Read replica query routing

Automated PII / PHI masking

SSO / SAML / SCIM / RBAC

HIPAA BAA

Compliance packs (SOC 2 / HIPAA / PCI / GDPR)

Advanced UEBA + approval workflows

Cross-database policy management

Start path: Startup for SQL injection blocking. Pro for proxy-layer RLS, tenant-condition injection, SSO, and SIEM forwarding. Business for HIPAA BAA, SOC 2 / HIPAA / PCI / GDPR evidence packs, and full in-VPC deployment. Expansion follows tenant and database growth.

Layered protection

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.

Automated PII Masking

AI-classified PII redacted in result rows so cross-tenant exposures stay contained even if a query slips through.

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SSO Human Identity Enforcement

Map every internal user to their verified SSO identity in the audit log, replace shared app_user.

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Query Analytics & Logging

Identity-aware audit trail for every query, every tenant, every outcome, straight into your SIEM.

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Time-limited Access Grants

Issue scoped, expiring access for support cases without permanent role changes or stale credentials.

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Every 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.

Enforce tenant isolation at the wire, same guarantees as native RLS, none of the latency hit.