AI Access Governance & Role-Based Access

As enterprise AI adoption scales, security teams need to manage who can access which tools. Letting every employee access every public LLM using personal accounts is a governance risk. AI Access Governance enables security leaders to enforce role-based access, manage subscription costs, and verify that users connect only via corporate accounts.

TryAIDR integrates with your identity systems to govern AI endpoints and logins dynamically.

The Risks of Ungoverned AI Access

Without clear governance, organizations suffer from compliance and cost issues:

• Personal Accounts: Employees logging into ChatGPT or Claude with personal Gmail accounts, meaning the AI vendors own and train on your inputs.
• Licensing Waste: Inability to reclaim unused AI licenses, resulting in rising enterprise subscription costs.
• Overprivileged Access: Access to advanced reasoning models granted to users who only require simple text editing, increasing data risks.

Governing AI Access with TryAIDR

TryAIDR provides real-time access controls on the endpoint:

• SSO Login Enforcement: Blocks access to public AI tools unless the employee logs in using the approved enterprise tenant account.
• Role-Based AI Access: Route access permissions based on AD/Okta groups. Let Engineers access GitHub Copilot, but limit Customer Support to internal instances.
• Access Recalled Templates: Detects inactive users and automatically updates permissions, reducing credential sprawl.

Access Governance Rule Config

Below is an TryAIDR configuration template enforcing corporate login rules and routing permissions by department:

{
  "governance_rule": "corporate-login-enforcement",
  "allowed_sso_domain": "@company.com",
  "block_personal_logins": true,
  "department_policies": {
    "Engineering": { "allowed_tools": ["copilot.microsoft.com", "chatgpt.com"] },
    "Support": { "allowed_tools": ["internal-chatbot.company.com"] }
  }
}