Company's AI.
Finally Under Control.
Employees prompting models. Agents calling models. Agents reaching into your systems. SecuriX governs all three from one control plane — every request logged, attributed to a person, checked against policy, and stripped of regulated data before it leaves your network.
It Runs Inside Your Perimeter.
A gateway sits inline on every prompt. That is precisely why we do not ask you to route regulated data through our cloud. SecuriX is built to be deployed into your infrastructure, under your controls, on your network.
Self-Hosted
Recommended for regulated industries
Runs entirely in your own data centre. Prompts, responses, audit logs, and policy decisions never leave your network. You hold the provider keys and the data at rest.
Private VPC
Your cloud account
Deployed into your own AWS, Azure, or GCP tenancy. Runs under your network policy, your key management, and your existing infrastructure monitoring.
SecuriX Cloud
For evaluation
Managed by us, so you can sign up and see the product working before committing to a deployment. Best used with non-production data while you evaluate.
Evaluating our security posture? The Trust Portal sets out how data is handled, what we log, and our current certification status.
Three Kinds of Traffic. One Control Plane.
Governing prompts alone leaves the larger exposure untouched. The moment a model can call a tool, it can read a mailbox, query a record, or change a ticket — and that is where the real risk sits. SecuriX governs the model layer and the tool layer through the same policy engine.
Human to AI
Employee prompts
Your people work through a branded chat portal behind SSO. Every prompt and response is recorded against a named employee, checked against policy, and scrubbed of regulated data before it reaches a provider.
LLM GatewayAgent to AI
Autonomous model calls
Agents and internal applications reach models through the same gateway on vaulted credentials — rate limited, budgeted, and attributed, so automated consumption can never run unobserved.
LLM GatewayAgent to Enterprise Data
Tool calls on real systems
When a model acts on mail, files, tickets, or records, Rego policy decides whether the call is permitted and whether the data returned may reach the model. Broker the access, log the decision.
MCP Server & GatewayBrokering what an agent may reach, and on whose authority, is the discipline we have written about as the Agent Access Security Broker — now delivered through the MCP layer.
Built for Regulated Industries.
In regulated sectors the barrier to AI adoption is rarely enthusiasm. It is that nobody can answer what was sent, by whom, and under what authority. SecuriX makes those answers a matter of record.
Manufacturing
Process documentation and supplier terms summarised without shipping proprietary specifications to an external model.
Healthcare
Clinical and administrative teams draft and summarise while patient identifiers are redacted before any request leaves the network.
Pharma
Research, regulatory, and commercial teams work with AI under an audit trail that stands up to inspection.
Banking & Financial Services
Customer data and account details are detected and masked in flight, with every prompt attributable to a named employee.
NBFCs & Insurance
Underwriting, claims, and collections teams get AI access with per-team budgets and complete conversation records.
Shared Services & BPO
Large operational teams reach approved models through one portal, with public chatbots blocked at the network edge.
Three Pillars. One Gateway.
SecuriX is not a chat tool. It is the infrastructure layer that sits between your employees and every AI provider — routing, auditing, and governing every token.
Cost Optimization
Stop Paying Per Seat
- —One Chat API key from OpenAI or Anthropic replaces N individual accounts
- —Built-in chat portal for all employees — SSO login, no installs
- —Team budgets per department with hard gateway enforcement
Observability & Analytics
See Every Prompt. Know Every Cost.
- —An audit event for every request — no sampling, no blind spots
- —User and team-level token dashboards updated in real time
- —OPA Rego policies evaluated on every single request
Security — DLP + MCP
Block PII. Gate Tool Access.
- —DLP blocks credit cards, phone numbers, and customer emails
- —Gmail, Drive, Calendar MCP tools pre-attached in the chat portal
- —Rego policy enforced on tool call request AND response
Without a Gateway
Per-Seat Waste
Paying $20/month for employees who use AI once a week. Finance, HR, and ops teams don't hit token limits — you do.
Prompt Black Box
No audit trail. You don't know what's being asked, which model is being used, or what data is being shared.
PII Reaching LLMs
Support agents paste customer records. Engineers paste DB query results. Sales reps paste CRM data. All reaches OpenAI servers.
Shadow AI Accounts
Employees create personal ChatGPT accounts. IT has zero visibility. Public chatbot URLs bypass all corporate policy.
With SecuriX Gateway
Pay Per Token
One Chat API key routes all traffic. Budget per team. Pay only for tokens consumed.
Full Audit Trail
Every request attributed to a named employee. Content retained where policy flagged it.
DLP at Gateway
Credit cards, phone numbers, and customer emails stripped before they reach the LLM.
SSO Chat Portal
Employees log in with Okta/Azure AD. No personal accounts. IT controls everything.
MCP Tools Built-In
Gmail, Drive, Calendar connected in the chat portal by default. Rego policy on every tool call.
OPA Rego Policy
Version-controlled policies run on every request and response. Block topics, restrict models, enforce budgets.
The LLM Gateway
Control Model.
SecuriX sits between your employees and every AI provider. Chat API keys are vaulted — employees never see them. DLP and Rego policies run on every prompt and every response.
Zero-Exposure API Key Vaulting
Chat API keys from OpenAI and Anthropic are stored in SecuriX's encrypted vault. Employees access AI via SSO — no credentials exposed.
Bidirectional Policy Enforcement
DLP and Rego policies run on outbound prompts AND on LLM responses. PII is blocked before it reaches the model, and again before it reaches the employee.
The Evolution
of Digital Access.
1. Passwords (1990s)
The “Master Key” era. Sharing your password meant giving away the entire house. Vulnerable, static, and high-risk.
2. OAuth (2010s)
The “Valet Key” era. Delegated access for humans. But for AI agents, OAuth is too coarse — it grants broad scopes when the agent only needs specific, policy-bound access.
3. Enterprise AI Gateway (Today)
The Control Layer era. Every company needs one: a gateway that routes all AI traffic, enforces DLP, tracks cost per team, and audits every prompt. SecuriX is that gateway.
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See the SecuriX Enterprise AI Gateway in action.
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