The Secure AI Gateway for
On-Premise & Private Cloud
Connect cloud-based AI agents to private, on-premise, and air-gapped data — without opening inbound firewall ports, moving data to the cloud, or compromising data residency compliance.
Free to start · No credit card required
The Private Cloud AI Integration Problem
Cloud AI is powerful. Your private data is valuable. The gap between them is costing you real business outcomes.
Private data locked behind firewalls
Your most valuable enterprise data — ERP records, on-premise databases, internal APIs — sits behind firewalls your cloud AI agents can't cross. VPNs are operationally complex and open security holes.
Inbound ports are a non-starter
Every traditional integration approach requires opening inbound firewall rules. Security teams reject this outright. The result: AI agents are stuck operating only on cloud-accessible data.
Data residency & compliance requirements
GDPR, HIPAA, and internal data governance mandates prohibit moving PII, PHI, or sensitive records outside defined perimeters — making cloud-only AI pipelines legally untenable for many use cases.
No policy layer between agent and private system
Even when connectivity exists, there is no enforcement point to redact PII, block overprivileged queries, detect prompt injection, or audit what the agent actually accessed.
Everything a Secure AI Gateway Needs
Private Connectors, policy enforcement, PII redaction, and complete audit trails — composing into one governed gateway between your agents and private infrastructure.
Private Connectors
Outbound-only mTLS tunnels. No inbound ports.
Deploy a lightweight connector agent inside your private network. It opens an outbound-only mTLS tunnel to DataGrout — your agents reach on-premise systems, internal APIs, or air-gapped databases without any inbound firewall rules. Supports NetBird, WireGuard, OpenVPN, or custom VPN setups. Latency overhead: 10–30ms.
Learn more →Warden
Prompt injection defense at the gateway perimeter.
Every agent request traversing the secure gateway passes through Warden's three-tier detection system — canary probes, semantic intent analysis, and Prolog-backed adjudication. Malicious inputs and hijacked instructions are blocked before they reach any private system or LLM. Ensemble scoring returns structured threat evidence your pipeline can act on.
Learn more →Dynamic Redaction & PII Auto-Detection
PII never leaves your perimeter unmasked.
After any tool executes against a private system, Dynamic Redaction scans the response and masks sensitive fields before data reaches the agent or LLM. PII Auto-Detection automatically catches email addresses, phone numbers, SSNs, credit card numbers, physical addresses, and dates of birth — with configurable redaction strategies: scramble, mask, apron, or fixed-length.
Learn more →Policy Engine & Semantic Guards
Fine-grained access control per tool, per agent, per action.
DataGrout's policy cascade enforces access rules at the gateway level before any request reaches your private infrastructure. Define side-effect limits (read-only, write, delete), field-level redaction rules, and semantic guards that reject out-of-scope queries. Server-level defaults cascade to integration-level overrides — a child policy can only tighten, never loosen.
Learn more →Conduit SDK (mTLS + OAuth 2.1)
Zero-config cryptographic identity for every agent.
The Conduit SDK bootstraps mTLS certificates automatically on first connection — each agent gets a unique cryptographic identity without writing auth boilerplate. Supports Bearer tokens, OAuth 2.1 client credentials, and Mutual TLS. Available for Python, TypeScript, Rust, Elixir, and Ruby. Every connector is isolated and single-tenant.
Learn more →Logic — Policy as Symbolic Rules
Persistent constraints that actively enforce governance.
Logic's constraint system lets you define rules like 'never process transactions above $10,000 without approval' or 'never return customer PII to an unauthenticated agent session.' These are not just metadata — they actively block flow execution when violated, providing a symbolic guardrail layer beneath your AI agent.
Learn more →Cognitive Trust Certificates (CTCs)
Cryptographic proof that every workflow ran as verified.
Every multi-step workflow accessing private data is sealed with a CTC — a cryptographically signed attestation that the plan was cycle-free, type-safe, policy-compliant, and ran as verified. CTCs are signed with Ed25519 by the DataGrout CA. Shareable for compliance audits, reusable as verified skills that skip re-verification.
Learn more →Flow — Human Approval Gates
Pause for human review before sensitive private-data operations.
Flow's `flow.request-approval` pauses any in-progress workflow and waits for an authorized human to approve before destructive or sensitive operations execute against private systems. `flow.route` provides conditional branching — route to a stricter policy path when an agent is accessing regulated data. All workflows receive CTCs.
Learn more →Real-World Secure Gateway Scenarios
From regulated financial data to air-gapped systems — how organizations use DataGrout to bridge private infrastructure to AI agents, safely.
The Problem
A wealth management firm uses an on-premise ERP system for client portfolio data. Their AI agents need to query this data for automated reporting, but the ERP sits behind a firewall the cloud agent cannot reach — and compliance prohibits moving the data to the cloud.
How DataGrout Solves It
A Private Connector is deployed inside the firm's data center, creating an outbound-only mTLS tunnel. The AI agent queries the ERP via DataGrout's secure gateway. Dynamic Redaction automatically masks client PII fields before any response reaches the agent. Logic constraints enforce a read-only side-effect policy. Every query is sealed with a CTC for the compliance audit trail.
Why Security & Compliance Teams Choose DataGrout
A secure AI gateway built for regulated environments — from GDPR and HIPAA to internal data governance policies that prohibit cloud data movement.
No inbound firewall ports — ever
Private Connectors use outbound-only mTLS tunnels. Your security team never needs to open an inbound rule to enable AI agent access to private systems.
PII stays inside your perimeter
Dynamic Redaction and PII Auto-Detection mask sensitive fields in every response before data reaches the agent or LLM context window — preserving data residency compliance.
Prompt injection blocked at the gateway
Warden's multi-tier detection intercepts adversarial content before it reaches your private infrastructure — canary probes, semantic analysis, and Prolog-backed adjudication composing into a weighted ensemble verdict.
Policy enforcement before every query
Semantic Guards and side-effect controls enforce fine-grained access policies at the gateway level — read-only modes, field-level redaction rules, and agent-specific access scopes.
Complete audit trail for compliance
Every workflow accessing private data receives a Cognitive Trust Certificate — a cryptographically signed proof of execution that can be shared with auditors or compliance teams.
10–30ms overhead. Production latency.
Private Connectors add only 10–30ms of tunnel latency. Multiplexing aggregates all private integrations behind a single endpoint — one credential, unified discovery, consistent governance.
Frequently Asked Questions
Technical questions from security teams and enterprise architects.
Ready to bridge your private data to AI — safely?
Deploy a Private Connector, enforce PII redaction, and give your agents governed access to on-premise systems — without opening a single inbound firewall port. Free to start.
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