Identity Guardrails & RBAC for MCP

One of the most dangerous anti-patterns in enterprise AI is granting an autonomous agent global access to internal tools. If an AI agent has the same Model Context Protocol permissions as a senior database administrator, a single prompt injection attack could trick the AI into executing destructive commands or exfiltrating sensitive HR records. Agents must be bound by the exact same identity constraints as human employees.

Panovista acts as an intelligent identity-aware firewall. Instead of letting agents connect directly to your backend MCP servers, they connect through Panovista.

Dynamic Identity Enforcement

The proxy authenticates the incoming request, identifying exactly which user or service account initiated the prompt. It then dynamically cross-references your corporate directory (Active Directory, Okta, etc.) and enforces strict Role-Based Access Control (RBAC).

If a marketing intern’s AI assistant attempts to trigger an MCP tool meant for production engineering, Panovista instantly terminates the connection.

Identity-Aware Tool Execution

Panovista binds tool execution tokens directly to the authenticated user session making the request. When your application sends an execution payload to the proxy, it attaches a verifiable JSON Web Token (JWT) representing the user’s corporate identity.

User Request ──► [App Frontend] ──► Injects JWT ──► [Panovista Proxy] ──► Validates Rules ──► [MCP Server]

Before passing the command down to the underlying MCP server, Panovista parses the JWT, extracts the user’s role (e.g., support_agent vs. billing_admin), and cross-references it with your central access policies.

Granular Tool Whitelisting

Move beyond basic API keys. Panovista allows security teams to create granular, cryptographic whitelists for every single MCP tool in your network. You can restrict specific database queries, limit the rate of API calls, and ensure that AI lateral movement is mathematically impossible.

Declarative Access Policies

Permissions are maintained using highly structured, human-readable JSON manifests mounted directly to your Panovista proxy instances:

{
  "version": "1.0",
  "policy_name": "financial_tool_access",
  "rules": [
    {
      "tool": "process_refund",
      "allowed_roles": ["billing_admin", "finance_manager"],
      "denied_roles": ["*"],
      "action": "evaluate"
    }
  ]
}

If a user with an unauthorized role tries to guide an AI agent into initiating a restricted transaction, Panovista catches the identity mismatch on the line and blocks the payload with a 403 Forbidden error, safely isolating your backend infrastructure from unauthorized AI manipulation.