AI-Native Database Security Proxy for PostgreSQL
Safe Boundary intercepts every SQL query between AI agents and your database — blocking destructive operations, rewriting dangerous patterns, masking PII, and logging everything. Sub-millisecond. One port change. From a company securing databases since 2004.
Spectral Core — Established 2004 · Microsoft Partner · Google Partner · ISO 27001 Certified
Architecture
AI agents & apps → Safe Boundary proxy → PostgreSQL
Queries analyzed
14,208
Allowed: 13,971 · Blocked: 214 · Rewritten: 23
Latency overhead
<1 ms
PII fields masked
1,847
The threat
AI agents are executing SQL against your production database
Traditional database firewalls were built for human developers writing predictable queries. AI agents are different — they generate SQL dynamically, change behavior between versions, and can propagate a single bad query across millions of requests. The old tools do not work.
Unpredictable queries at machine scale
AI agents generate SQL dynamically — different every time, at speeds no human can review. A single prompt change can produce entirely new query patterns overnight. Legacy firewalls see this as chaos.
One bad query can cascade instantly
When an LLM generates a DELETE FROM users without a WHERE clause, there is no human in the loop to catch it. The query executes in milliseconds. The damage propagates across every downstream system before anyone notices.
Compliance gaps that grow with every AI interaction
Every AI-generated query that touches PII is a potential compliance violation. GDPR, HIPAA, PCI-DSS — the regulatory surface area expands with every new AI agent you connect. Manual auditing cannot keep up. 13% of organizations experienced AI-related security incidents in 2025.
How Safe Boundary eliminates risk
Purpose-built for the AI era. Not a retrofitted legacy firewall — a new category of protection designed from the ground up for AI agent workloads on PostgreSQL.
The real problems
- AI queries are generated dynamically and change with every prompt, model version, and context window — you cannot review them manually
- Intent is opaque — you cannot predict what an LLM will try to execute next, and neither can the LLM
- A single destructive query in an AI pipeline can propagate across millions of requests before anyone notices
- One unguarded query can corrupt production data, expose PII, or trigger a compliance notification
- Legacy database firewalls use pattern matching — they cannot analyze the semantic structure of AI-generated SQL in real time
Why Safe Boundary is different
Instant query blocking
Block destructive operations — DROP TABLE, DELETE without WHERE, TRUNCATE — before they reach PostgreSQL. Zero-config rule presets for common threats. The essential first line of defense for any database exposed to AI agents.
AI-powered SQL rewriting
Goes beyond blocking. Rewrites dangerous queries in real time to preserve the agent’s intent while removing the risk. When an AI generates DELETE FROM users, Safe Boundary rewrites it to be safe — not just rejects it. No competitor does this.
Automated PII masking
AI-driven PII detection without manual column tagging. Sensitive data — names, emails, financial records, health information — is masked in query results before it ever leaves the database. GDPR, HIPAA, and PCI-DSS compliance built in.
Proxy-layer RLS enforcement
PostgreSQL’s native Row Level Security causes 11x+ query slowdown. Safe Boundary enforces RLS at the proxy layer — injecting optimized WHERE predicates directly into queries. Same security guarantees, orders-of-magnitude faster. The rare security product that makes your database faster.
Query analytics & logging
Every intercepted query is logged — blocked, allowed, rewritten, masked. Full-text search and filtering across historical data. Dry-run new rules against historical logs to measure impact before enforcing. On paid plans, the admin runs on-prem for sub-second search across millions of records. Compliance evidence for SOC 2, HIPAA, and PCI-DSS generated automatically.
Schema-aware enforcement
Understands your database structure. Policies are enforced at the SQL layer with full semantic analysis — not pattern matching, not regex, not signatures. If a query violates your boundaries, it does not execute. Deterministic. Explainable.
AI database security
How does Safe Boundary work?
A transparent proxy that sits between AI agents and your PostgreSQL database. Every query passes through deterministic enforcement — with sub-millisecond overhead.
Intercept
Every SQL query passes through Safe Boundary’s proxy before reaching your database. One port change in your connection string — no agents, no sidecars, no schema changes.
Analyze
Deep semantic SQL analysis determines query structure, target objects, operations, and intent. Not pattern matching — real understanding of what the query does and what it touches.
Enforce
Policies are applied in real time. Destructive operations are blocked or rewritten. Sensitive columns are masked. Unauthorized writes are rejected. Missing tenant conditions are injected. Every action is logged.
Deliver
Safe queries pass through unmodified at wire speed. Blocked queries return clear error responses. Rewritten queries execute safely with the original intent preserved. Your application never knows the difference.
Proxy flow
AI Agent → Safe Boundary (Intercept → Analyze → Enforce) → PostgreSQL
Feedback loop: Enforce → logging & analytics dashboard
Zero-friction deployment
Built for the critical path
Safe Boundary runs inline on your production traffic without becoming a bottleneck. Drop it in, define your boundaries, and let AI work safely.
Sub-millisecond overhead
<1 msAdds less than 1 ms to query execution. The proprietary analysis engine — built on 22 years of SQL parsing technology — runs enforcement in microseconds. Designed for the critical path, not bolted on as an afterthought.
No database extensions required
Works with standard PostgreSQL — no plugins, no engine modifications, no vendor lock-in. Compatible with Supabase, AWS RDS, GCP Cloud SQL, Azure Database, and self-hosted Postgres. If it speaks the PostgreSQL wire protocol, Safe Boundary protects it.
Drop-in proxy deployment
No agents, no sidecars, no schema rewrites. Change one port in your connection string. Safe Boundary exposes a PostgreSQL-compatible endpoint that intercepts queries and data. Your application code stays untouched.
Control-plane / data-plane separation
On paid plans, the proxy runs inside your VPC — database traffic never leaves your environment. The cloud control plane manages policies, AI model updates, and billing. Your data stays yours. This is the same architecture used by Cyral, Redpanda, and Streamkap.
Operationally boring. Architecturally invisible. Exactly what you want from security infrastructure.
Built for your stack
Who Safe Boundary is for
From early-stage AI startups to regulated enterprises — Safe Boundary ensures AI can never execute queries outside the boundaries you define.
AI startups on Supabase
Your LLM agents hit production Postgres with no guardrails. One port change and you have real-time protection — blocking, rewriting, and PII masking. Investor-ready compliance evidence from day one. Start free. Scale to Pro when you are ready.
Learn more →FinTech & payments
PCI-DSS compliance, real-time SQL injection prevention, and automated masking of financial data. Every query touching cardholder data is analyzed, masked, and logged. Structured audit trails for SOC 2 and PCI-DSS generated automatically.
Learn more →Healthcare SaaS
HIPAA-compliant database protection with automated PHI masking. Every query touching patient records is intercepted and enforced. The average healthcare breach costs $9.77 million — Safe Boundary provides the audit trail your compliance team needs.
Learn more →Multi-tenant SaaS
Tenant data isolation enforced at the database layer. Proxy-layer RLS eliminates the 11x+ performance penalty of PostgreSQL’s native RLS. Automatic injection of missing tenant conditions. Missing index detection for tenant-scoped queries.
Learn more →Trust & credibility
Built by a company that's been securing databases since 2004
22 years in production
Spectral Core has been building database software since 2004 — before AWS RDS existed, before PostgreSQL became the dominant developer database. Most competitors in the AI database security space are 2–3 year old startups. Enterprise buyers pay for vendor stability.
Microsoft & Google Partner
Listed in both partner ecosystems. Enterprise procurement validation, co-marketing channels, and distribution through Microsoft AppSource and Google Cloud Marketplace. These partnerships cannot be shortcut.
ISO 27001 certified
International security standard already in place. SOC 2 Type II actively in progress. Most companies at this stage have not even started the certification process.
Transparent pricing
Self-serve pricing starting at free. No “contact sales” black box. No $50K minimum ACVs. Try the product on a real database before you talk to anyone. The Cloudflare model applied to database security.
Pricing
Enterprise-grade protection at startup-friendly prices
A startup with 3 databases pays $1,497/month — 0.37% of the $4.8M average AI-related breach cost. The math is obvious.
Starter
Free
1 database, cloud-hosted, full AI SQL injection prevention. No credit card. No time limit.
Shield
$149/db/mo
Block destructive queries. Structured audit logging. Up to 3 databases.
Pro
$499/db/mo
AI rewriting, PII masking, proxy-layer RLS, VPC deployment. Save 25% annually.
Enterprise
$899/db/mo
Regulated industries. Dedicated agent. SOC 2/HIPAA/PCI-DSS reporting.
Enterprise+
Custom
$100K+ ACV. Outcome-based pricing option. Source code escrow. NDA audit rights.
FAQ
Frequently asked questions
What is Safe Boundary? ▾
Safe Boundary is Spectral Core’s AI-native database security proxy for PostgreSQL. It sits between AI agents and your database as a transparent proxy, intercepting every SQL query in real time. Depending on your policies, it blocks destructive operations, rewrites dangerous queries to preserve intent, masks PII automatically, and logs everything — with sub-millisecond overhead.
How is Safe Boundary different from a traditional database firewall? ▾
Traditional database firewalls rely on pattern matching, regex, and signature-based detection. Safe Boundary performs deep semantic SQL analysis using Spectral Core’s proprietary engine — built on 22 years of SQL parsing technology. It understands query structure, target objects, and intent. When it detects a dangerous query, it can rewrite it to be safe rather than just blocking it. No other product does this. Enforcement is deterministic and explainable.
Does Safe Boundary add latency? ▾
Less than 1 millisecond. Safe Boundary’s proprietary analysis engine is 10x faster than the closest competitor (Formal.ai claims sub-10ms p50). The proxy is designed for inline critical-path deployment — operationally comparable to a connection pooler. Your application’s performance stays unaffected.
What databases does Safe Boundary support? ▾
Safe Boundary supports PostgreSQL and PostgreSQL-compatible databases, including Supabase, AWS RDS, Google Cloud SQL, Azure Database for PostgreSQL, and self-hosted Postgres. Any database that speaks the PostgreSQL wire protocol is supported. Additional database engines are planned.
How do I deploy Safe Boundary? ▾
Change one port in your database connection string. No database extensions, no agents, no sidecars, no schema changes. On the free Starter tier, the proxy runs in Safe Boundary’s cloud. On paid plans (Pro and above), a lightweight proxy agent deploys inside your VPC — your database traffic never leaves your environment. The cloud control plane manages policies, AI model updates, and billing.
Can Safe Boundary mask PII automatically? ▾
Yes. Safe Boundary uses AI-driven PII detection to identify sensitive data — names, emails, phone numbers, financial records, health information — without manual column tagging. Query results are rewritten in real time to mask this data before it reaches your application or AI agent. This is automatic, continuous, and requires no changes to your application code.
How does the logging and search work? ▾
Every intercepted query is logged with full context — timestamp, user identity, action type, target objects, policy matched, and outcome (allowed, blocked, rewritten, or masked). You can search and filter across your entire query history by time range, user, action type, table, severity, and more. On paid plans, the admin interface runs on-prem alongside your proxy for sub-second search performance across millions of records. All log data stays in your environment — nothing leaves your network.
Can I test new rules before enforcing them? ▾
Yes. Safe Boundary’s dry-run mode lets you replay proposed policies against your historical query logs to see exactly what would have been blocked or rewritten — before you flip the switch. Measure the impact of any rule change against real production data without affecting live traffic.
Is Safe Boundary secure? Can I audit the code? ▾
Spectral Core holds ISO 27001 certification and SOC 2 Type II is actively in progress. Source code escrow is available at the Enterprise tier through established providers (NCC/EscrowTech). Enterprise+ customers get NDA-based source code audit rights — your designated auditor can review the codebase directly. Spectral Core has been in business since 2004 and is a Microsoft and Google partner. This is not a startup that will disappear after taking your money.
Still have questions?
Whether you need help evaluating Safe Boundary for your use case, have questions about deployment, or want to discuss pricing for your team — we're here to help.
Get in touch →Start protecting your database today
Free for 1 database. No credit card. No time limit. Full AI SQL injection prevention.