Axora Router
Overview
Axora Router is an enterprise AI security gateway. It consolidates external AI access into one controlled entry point and enforces organization-aware identity and policy on every AI request and response.
One line: one organized entry point for enterprise AI access, governed by identity, group policy, and audit.
Router helps enterprises adopt large language models safely without slowing teams down. It centralizes AI access behind a single gateway, assigns each employee or system an identity, organizes identities into groups, and applies group-level security policies to every prompt, response, and, optionally, tool-connected data flow. Policies can allow, observe, tokenize or redact, block, route to a private model, or require approval, while generating audit evidence and compliance mapping.
The Problem Router Solves
Employees, business systems, and AI applications inside an enterprise typically connect to different models through personal accounts, shared API keys, or independent integrations. Three problems follow directly:
AI access is fragmented and unowned. It is hard to confirm who is using which model, and impossible to enforce consistent rules.
Sensitive data leaks are inevitable without a control point. Once customer data, credentials, or regulated information enters a prompt, a RAG context, an attachment, or a tool output, it can be sent to an external model unless an enforcement point exists.
Guardrails are inconsistent across vendors and apps. Teams rebuild the same redaction, blocklists, approvals, and logging in every application, and the result is still inconsistent and hard to audit.
A network proxy or generic API gateway does not solve this. It does not understand AI context, cannot tell a prompt from a response from a retrieved document, and provides no policy versioning, testing, or compliance evidence. Router is built specifically for AI information flows.
How Router Works
Router sits between users or applications and model services. It establishes access relationships through four core objects:
User
An identity for an employee, system, or application that accesses AI through Router, with its own token or API key
Group
An organizational unit such as a department, project, role, or system. Every user belongs to at least one group. Groups carry channel authorization and security policy
Channel
A connection between Router and a specific LLM or provider, including private and on-premise models
Group Policy
The policy bundle bound to a group and enforced on every information flow within it
A request entering Router passes through identity recognition, channel authorization, an outbound check before the request leaves the enterprise, the model call, an inbound check when the response returns, and an audit record. Every transaction receives a risk context that includes who initiated it, which group it belongs to, whether it is input or output, the destination model and region, and the business purpose, and passes through deterministic and model-based detection before an enforcement decision.
Router reasons about content by type, including user prompts, system prompts, retrieved RAG context, model responses, and, where tool integration is enabled, tool arguments and tool results. Retrieved and tool-returned content is treated as untrusted by default.
Gateway Actions
Router policies resolve to one of six outcomes:
ALLOW
Pass through
OBSERVE AND ALLOW
Pass through while recording risk evidence or raising an alert
TOKENIZE AND ALLOW
Redact or tokenize sensitive parts before passing through, with reversible restoration on the response path
BLOCK
Stop the request or response
ROUTE TO PRIVATE MODEL
Do not send to the external model; route to an approved internal model instead
REQUIRE APPROVAL
Pause the flow for a designated approver
This range matters for adoption. Enterprises can start with observe-first policies to generate a risk picture, then tighten enforcement only where evidence shows it is needed, and reserve approvals for genuinely consequential flows.
Core Capabilities
Organization-Aware Access and Quota Governance
A centralized entry point for external model access, with an identity per employee or system, group-based management, and quota allocation at team or user level. Scattered personal accounts, shared API keys, and per-application integrations are consolidated so that it is always clear who can access which models.
Sensitive Data Definition and Detection
Built-in detection for personally identifiable information, credentials, and secrets, plus custom dictionaries, regular expressions, and document fingerprinting for customer names, project codenames, source code, internal identifiers, and other organization-defined categories. Sensitive-data definitions can be executed within the customer's environment so that raw definitions are never exported.
Context-Aware Policy Enforcement
Policies evaluate both what was found and the context around it: who initiated the flow, which group, the destination provider and region, the content type, and the purpose. The same string can be treated differently depending on user, group, application, and destination, and separate rules can apply to input, output, RAG context, and tool-connected flows.
PolicyOps: Versioning, Testing, and Rollback
Policies are versioned with diffs, covered by unit tests that pair content and context with an expected action, and published through a gated lifecycle from draft to test to review to publish. A policy simulator can replay sanitized historical traffic against a draft to estimate how many requests would be allowed, transformed, routed, or blocked before rollout, and any policy can be rolled back to a known-good version.
Monitoring, Audit Evidence, and Reporting
Administrators can search and filter information flows by time, user, group, model, content type, severity, policy hit, and action. A trace shows the data flow, policy judgement, and transformation at each step, so that every security decision can be reviewed. Alerts can be delivered through email, chat, or webhook, and events can be exported to SIEM and SOC tooling.
Compliance Mapping
Policy controls can be mapped to regulatory and industry requirements including GDPR, HIPAA, PCI DSS, SOC 2, ISO 27001, ISO 42001, and the NIST AI Risk Management Framework. Mapping is framed as control evidence, linking each requirement to a control, a policy, evidence, an owner, and a review date, rather than as automatic certification.
Model Governance and Intelligent Routing
Security and routing share one policy engine. Router maintains an approved provider and model catalog with allow and deny policy by user, group, and application, data-residency and region restrictions, and private-model-only rules for classified data. Routing decisions can weigh data classification, provider policy, region, quality, latency, cost, and availability, with provider health monitoring, failover, circuit breakers, rate limits, and per-group budgets.
Agent, MCP, and Tool Security
As enterprises move from chat to agents, the security boundary moves from what the model can say to what the agent can do. Router extends its policy model to agent and tool identities, with tool allowlists by group and application, function-level permissions, separation of read, write, and destructive actions, inspection of tool arguments before execution and tool results after, and human approval for consequential actions such as external messaging, file deletion, production changes, financial transactions, and high-volume data export. This is the point where Router hands off to Axora AgentGuard, which enforces the same decisions at the agent runtime.
Four Trust Boundaries
Router protects the full AI interaction lifecycle across four boundaries:
User or application to AI: input and data security. Prevent sensitive-data and credential leakage, unauthorized model access, and unsafe requests before data is sent to a model.
External content or RAG to AI: untrusted content security. Detect indirect prompt injection, poisoned retrieved content, unsafe files, and untrusted instructions before they enter the AI context.
AI to user or application: output security. Inspect responses for sensitive disclosure, prohibited content, insecure code, malicious links or packages, and policy violations before they reach users or downstream systems.
AI or agent to tool, MCP, or API: action security. Control agent permissions, inspect tool calls and results, constrain high-risk actions, and require human approval where needed.
Deployment
Enterprises choose where enforcement runs. Axora Cloud offers the fastest deployment. A dedicated single-tenant data plane provides stronger isolation. A customer VPC or on-premise data plane keeps raw prompts, sensitive-data dictionaries, and provider credentials inside the customer's trust boundary while policy and management remain centralized. Integration starts with an OpenAI-compatible endpoint as the lowest-friction migration path, with enterprise identity through OIDC, SAML, and SCIM.
Router and $GPS
Router decisions are metered security services. Every information-flow scan, policy decision, and routing decision is a discrete unit of security consumption, and because applications and agents pass information through Router continuously, consumption scales with AI usage rather than with seats.
Router plans are priced in security-service units that settle in $GPS. Where customers pay in fiat or stablecoins, GoPlus intends to route a defined share of that revenue into $GPS-denominated settlement on the network side.
Who Router Is For
Security, AppSec, and product security teams that need to prevent sensitive-data egress and unsafe content ingress and to produce audit-ready controls.
AI and ML platform teams standardizing access across multiple providers and reusing guardrails.
Enterprise IT organizing identities, access, quotas, and vendor usage across the company.
Compliance and risk functions in regulated industries aligning AI controls to regulatory requirements.
Conclusion
Axora Router manages access. It turns fragmented, unowned AI usage into a single governed entry point where identity, group policy, sensitive-data controls, routing, and audit apply to every request and response. It is the first control point in the Axora boundary, and every decision it makes is a metered service settled in $GPS.
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