Jarvis Registry: The 3-Layer Governance Framework for Enterprise AI
Enterprise AI is moving fast—teams connect AI copilots to Salesforce, Slack, HR systems, and internal databases through MCP tools every day. But without proper governance, that power becomes shadow IT. Jarvis Registry is the enterprise gateway between your AI copilots and your enterprise tools, providing complete governance across three distinct layers.
The first layer is Role-Based Access Control (RBAC), which ensures that AI tool creation is a deliberate, governed act. Most employees can use agents and MCP tools, but only trusted administrators can create or delete them. The second layer is the Access Control List (ACL), which operates at the resource level—every MCP server or agent has an owner who explicitly grants access to individual users at specific permission levels. Users not on the list simply don't see the tool in their Jarvis interface.
The third, optional layer adds OAuth verification for integrations that require third-party authentication. When Jarvis connects to an external system like Slack on behalf of a user, it verifies the user's business entitlement and confirms the MCP is a registered, trusted client—not a rogue tool. Jarvis handles all compliance engineering including token management, encryption keys, and dynamic client registration, with zero overhead for your team.
The video opens by describing how enterprise teams are rapidly connecting AI copilots to business systems through MCP tools. It raises the critical question of who governs which employees can create or access AI tools—and warns that without controls, AI becomes shadow IT.
Jarvis Registry is introduced as the enterprise gateway between AI copilots and enterprise tools. It delivers complete governance across three layers that separate creation rights, connection rights, and external verification.
RBAC ensures that most employees can use AI agents and MCP tools, but only a trusted few can create or delete them. Every resource in Jarvis was created by someone with the explicit authority to do so, preventing ad hoc tool sprawl across departments.
ACL operates at the resource level. Each MCP server or agent has an owner who grants access to specific users at defined permission levels. Users who are not on the list do not see the tool in their Jarvis interface at all.
The optional third layer applies to integrations requiring third-party authentication. When Jarvis connects to an external system like Slack, it verifies the user's entitlement and confirms the MCP is an authorized, registered client. Jarvis manages token management, encryption keys, and dynamic client registration automatically.
The video concludes by showing how Jarvis Registry separates AI governance across three teams—governance teams control who builds, resource owners control who connects, and business teams control who is authorized—all enforced natively in the chat interface with zero engineering overhead.
