Secure AI Gateway.
Consume AI Responsibly.
One Chat API key from OpenAI or Anthropic. One gateway that routes, logs, and governs all company AI. Replace individual seat subscriptions with pay-per-token. Enforce DLP and MCP policies before anything leaves your org.
Download the 1-Page Data Sheet (PDF)
Pay Per Token, Not Per Seat
One Chat API key, a built-in chat portal for all employees, team budgets by department. Stop wasting $20/seat/month on idle accounts.
Audit Every Prompt. Track Every Dollar.
All AI traffic flows through SecuriX — every prompt, every response, every token logged and attributed to a user. OPA Rego on every request.
Block PII. Gate Tool Access.
DLP strips credit cards, phone numbers, and customer emails. MCP tools (Gmail, Drive, Calendar) under Rego policy enforcement on request and response.
Enterprise Feature Suite
Four features per pillar. One gateway to govern all of them.
Stop Paying Per Seat
One Chat API key replaces individual subscriptions. Route all company AI through SecuriX and pay for tokens consumed — not idle seats.
LLM Gateway — Chat API Key Mode
Connect one Chat API key from OpenAI or Anthropic. Route all company AI traffic through SecuriX. Pay per token, not per seat.
Team Budget Allocation
Create token budgets per department. Engineering gets 50M tokens/month. Finance gets 5M. Enforced hard limits at the gateway — no billing surprises.
Built-in Employee Chat Portal
Employees get a company-branded AI chat portal with MCP tools pre-attached. No personal API keys. No shadow accounts. IT-approved models only.
SSO / IDP Integration
Connect Okta, Azure AD, or Google Workspace. Employees log into the AI portal with their existing corporate credentials. IT provisions and de-provisions users automatically.
See Every Prompt. Know Every Cost.
All AI traffic flows through SecuriX, so you audit everything — every prompt, every response, every token, attributed to every user.
Prompt Audit Log
Every request through SecuriX is recorded and attributed to a named employee — model, tokens, cost, and policy decision. Prompt content is retained where DLP or policy flagged it.
Token & Cost Analytics Dashboard
User-level and team-level token consumption dashboards. See exactly which team, which user, and which model is driving your AI costs in real time.
OPA Rego Policy Engine
Write policies in OPA Rego that execute on every AI request and response at the gateway. Block topics, restrict models, rate-limit users — all in code.
Real-Time Anomaly Detection
Detect unusual AI usage patterns automatically — token consumption spikes, repeated identical prompts, off-hours usage, or access from new locations.
Block PII. Gate Tool Access.
DLP engine blocks credit cards, phone numbers, and customer emails. Rego policies enforce tool call boundaries on every MCP request and response.
DLP Engine — Block PII at the Gateway
Automatically block credit card numbers, customer emails, phone numbers, and SSNs from being sent to any LLM. Configured in minutes, enforced on every request.
MCP Tool Layer — Gmail, Drive & More
SecuriX provides built-in MCP tools (Gmail, Google Drive, Calendar) attached to the chat portal by default. Employees use AI with their work tools — under policy control.
Rego Policy on Every Tool Call
When the LLM makes a tool call, SecuriX evaluates Rego policy on the request AND the response — before data flows in either direction.
PII Redaction on Tool Responses
When an MCP tool returns data containing PII, SecuriX redacts it before the LLM processes it. Customer data never reaches external AI models in raw form.
From $20/Seat to Pay-Per-Token
Seat-based AI pricing assumes uniform consumption. In reality, 20% of employees drive 80% of usage. A shared LLM Gateway routes all traffic through one Chat API key — you pay for tokens consumed, not idle seats.
What You Can See From Day One
Without a gateway, AI is a black box. No audit trail, no cost attribution, no policy enforcement. SecuriX routes all traffic through one proxy — every request accounted for from the moment you deploy.
Every request attributed to a specific employee via SSO identity — no anonymous usage.
Which model is driving the most spend? GPT-4o vs. Claude Haiku — tracked per team.
Which team is at 80% of their monthly budget? Alert before the hard limit hits.
Which prompts triggered a DLP rule? Which were blocked by Rego policy? Full log.
What Gets Blocked Before It Reaches the LLM
SecuriX enforces two layers of protection: DLP on every outbound prompt, and Rego policy on every MCP tool call — both request and response.
One Proxy.
Full Control.
Every employee prompt passes through the SecuriX gateway before reaching OpenAI or Anthropic. Eight enforcement checkpoints — SSO auth, budget check, DLP scan, Rego policy — on every single request.
# SecuriX Gateway Request Pipeline
# INBOUND: Employee → SecuriX
1. SSO Authentication (Okta / Azure AD / Google)
2. Team Budget Check (tokens remaining this month?)
3. DLP Scan (strip PII from prompt)
4. OPA Policy Evaluation (is this request allowed?)
# OUTBOUND: LLM → SecuriX → Employee
5. Forward to Provider (OpenAI / Anthropic via Chat API key)
6. Response DLP Scan (strip PII from response)
7. Prompt + Response logged to audit trail
8. Token count attributed to user + team budget
Deploy in < 1 Day
Connect your Chat API key. Configure your SSO provider. Share the built-in chat portal URL with employees. Full prompt auditing from day one.
Book a Demo of the Gateway
Book a demo to see how to cut per-seat AI costs and get full observability over all company AI usage.
Book a Demo
Book a demo of SecuriX Enterprise AI Gateway. We'll reach out within 2 business days.