Enterprise AI Gateway

Let employees use AI without letting data walk out the door.

AI Warden gives regulated companies one approved path for AI: employee chat, business agents, LLM apps and MCP tools can pass through policy, DLP, cost controls and audit evidence before data leaves or returns.

See AI Warden in action Explore the security story

connect your DLP control LLM + MCP evidence-ready audit

aiwarden / enforcement / live policy active
14:52:50Sensitive data blockedDLP stopped customer data before chatbot delivery
14:53:02Risky tool disabledExternal search disabled after a policy warning
14:53:19Safe request optimizedApproved model route with 42% fewer tokens
DLP checks2,418request + response
Tokens avoided31%compression active
MCP calls814 denied
Request logsLiveallow + block

Built for security, platform and governance teams who need AI adoption without unmanaged data exposure

  • AI Gateway
  • LLM Gateway
  • MCP Gateway
  • DLP / ICAP
  • Guardrails
  • Observability
  • FinOps
  • Agent Builder

What AI Warden controls

The familiar AI gateway pattern, extended for regulated enterprise risk.

Most AI gateways centralize model access, logging and spend. AI Warden adds security-first enforcement across LLM prompts, responses, MCP JSON-RPC tool calls, hosted agents, DLP decisions, approvals and governance evidence.

01

Secure

Inline firewalling, prompt-injection scanning, secrets/PII detection, ICAP-supported DLP, MCP method controls and configurable fail-closed handling.

Security topic -> 02

Observe

Trace prompt to policy to model to tool to response with request logs, token counts, latency, errors, cost and user/agent attribution.

LLM Gateway -> 03

Control

Compress tokens, route providers, enforce budgets, rate-limit users and agents, forecast spend and trigger approval workflows.

FinOps topic -> 04

Enable

Replace shadow AI with governed enterprise chat, no-code Agent Builder, approved tools, MCP capabilities and business-owned agents.

Enablement topic ->

Two buyers, one platform

Security gets enforcement. Platform teams keep velocity.

For cybersecurity teams

Reduce shadow AI and show control.

  • Inspect prompts, uploads, completions, MCP arguments and tool responses.
  • Use ICAP-supported DLP platforms as the source of truth for sensitive data.
  • Block, modify, warn, end sessions, disable tools or pause risky agents.
  • Export evidence showing user, agent, policy, DLP outcome and final decision.
Security story
For AI platform teams

Give developers a drop-in gateway.

  • Use OpenAI-compatible clients and approved model aliases.
  • Route across approved provider, cloud and local models.
  • Debug latency, errors, token usage, tool calls and blocked requests.
  • Publish governed MCP tools and no-code agents without custom security plumbing.
Developer path

Flagship differentiator - ICAP / DLP

Do not replace your DLP strategy. Bring it into the AI request path.

AI Warden connects your existing enterprise DLP to the approved AI path. Chatbot uploads, prompts, model answers, agent tool use and MCP results can be inspected before sensitive content leaves the business or reaches the user. If your DLP system says warn, modify or block, AI Warden enforces that decision and records the evidence.

  • Inspect before and after AI: prompts, uploads, answers, tool calls and tool results.
  • Configurable fail-closed handling: if DLP inspection is unavailable, AI Warden can deny instead of bypassing control.
  • Session-aware actions: warn, block, end session, disable internet search or quarantine an agent.
  • Behaviour controls: repeated ICAP block/modify outcomes can alert or disable risky users and agents.
Read the ICAP integration brief
User / AgentPrompt, file, tool call
↓
AI Warden Gatewayidentity - policy - audit
Before AIEnterprise DLPallow - modify - block
Before deliveryEnterprise DLPallow - modify - block
allowwarn / modifyblock / contain

Platform components

One policy layer across the AI stack.

Start with the outcome pages, then drill into the technical surfaces security and developers will run day to day.

01 - LLM Gateway

OpenAI-compatible egress, provider routing, guardrails, DLP, observability and FinOps.

Gateway brief ->

02 - MCP Gateway

Register, scan, approve, publish and supervise MCP servers and tool calls.

MCP brief ->

03 - ICAP / DLP

Integrate enterprise DLP into request and response enforcement.

ICAP brief ->

04 - Agent Builder

No-code business agents with approved knowledge, tools and publishing controls.

Agent Builder ->

05 - Governance

Controls, approvals, product ownership, review cadence and evidence exports.

Governance ->

Why AI Warden stands out

More than routing and observability.

CapabilityTypical AI gatewayAI Warden
LLM gatewayProvider access, logs, rate limitsOpenAI-compatible routing plus policy, DLP, budgets and request evidence
MCP gatewayEmerging catalog/proxy controlsRegistry, approval, method firewall, scanner, ICAP enforcement and tool-call audit
DLPBuilt-in PII redaction or basic guardrailsICAP-supported enterprise DLP for requests and responses across LLM and MCP
Agent controlLogs or generic app controlsSession actions, tool disabling, agent review workflows and no-code governed Agent Builder
GovernanceRBAC and audit logsControls, standards mapping, approvals, product labels, review cadence and evidence snapshots

Technical validation

Bring us one provider, one MCP server and one DLP policy.

In one working session we can show identity, OpenAI-compatible traffic, request logs, ICAP inspection, MCP tool controls, token/cost accounting and governance evidence using demo data.

Book a technical sessionRequest demo access