Give Your AI Agents Secure Access to Your Enterprise Systems

AI agents are moving beyond experimentation and into real business processes. But to take meaningful action, they need secure access to enterprise applications, APIs, data, and systems.

Pragma Edge helps enterprises establish a governed MCP Gateway that connects AI agents to existing enterprise capabilities without exposing the complexity of the underlying systems or creating fragmented point-to-point integrations.

Why Enterprise AI Integration Becomes Challenging

• AI agents need controlled access to enterprise applications and data
• Existing APIs and legacy systems are not designed for agent-based interactions
• Multiple MCP servers can create fragmented security and governance
• Enterprise environments require consistent authentication and authorization
• Limited visibility can make agent and tool activity difficult to monitor
• Hybrid environments add complexity to connecting agents with enterprise systems

What You Can Achieve with PragmaEdge Azure Integration

• Connect AI agents with enterprise applications, APIs, and data
• Enable secure, governed access to enterprise capabilities
• Bridge AI agents with legacy and proprietary systems
• Manage and govern MCP tools across your environment
• Monitor MCP traffic, tool usage, and agent activity
• Support hybrid cloud and on-premises enterprise environments
• Automate event-driven interactions between agents and enterprise systems
• Scale AI integrations without creating fragmented point-to-point connections

Book a Meeting

Expose a narrowly scoped enterprise capability to an AI tool client. Test caller identity, permitted parameters, tool authorization and audit records, including a request that must be denied or sent for approval.

Define the enterprise capabilities that an AI client may invoke and describe the allowed inputs and outputs for each tool. Review identity propagation, authorization and data boundaries at the gateway and the receiving service. Tool discovery should not automatically grant permission to execute an action or access every record exposed by a backend system.

Test unauthorized calls, malformed parameters, unavailable backends and requests that require human approval. Verify that the gateway records the caller, tool, decision and execution result with appropriate handling of sensitive information. Apply timeouts and bounded retries so an AI client cannot turn repeated tool calls into uncontrolled operational work.

Bring the proposed tools, API contracts, identity requirements and example user journeys. Agree a narrow initial scope, approval points and evaluation cases before enabling access. The delivery plan should identify policy ownership, supported client connections, integration dependencies and the evidence operators need to investigate an invocation.