Governing Enterprise AI: Securing LLMs and MCP Workflows with NetScaler AI Gateway

Enterprise AI is evolving faster than most organizations can govern it.

Employees are adopting multiple LLMs, developers are integrating AI coding assistants, and new MCP-enabled agents are beginning to automate complex workflows. Without centralized governance, organizations face growing challenges around security, policy enforcement, identity, token management, and operational consistency.

Join Citrix's Komal Bhardwaj and Ferroque Systems' Richard Faulkner for a technical Masterclass demonstrating how NetScaler AI Gateway and MCP Gateway provide centralized control for modern enterprise AI environments.

You'll learn how organizations can securely connect users to multiple AI providers, enforce policies across LLMs, and prepare infrastructure for the emerging Model Context Protocol ecosystem.

You’ll learn:

• Why AI governance is becoming a critical enterprise requirement
• Centralizing access across multiple LLM providers
• Governing Claude Code and AI developer workflows
• Understanding MCP Gateway and secure AI orchestration
• Managing token usage, RBAC, and policy enforcement
• Building scalable AI infrastructure without vendor lock-in

The session combines practical architecture guidance with live demonstrations that illustrate how organizations can move from disconnected AI experimentation toward enterprise-scale governance.

Whether you're supporting developers, security teams, infrastructure architects, or enterprise AI initiatives, this session provides practical guidance for building secure AI services that can scale alongside your business.

Plus, attendees will have the opportunity to schedule an exclusive technical preview to explore upcoming NetScaler AI Gateway capabilities, including advanced Claude Code integration and MCP Gateway functionality.

Duration: 60 minutes

Date: Tuesday, August 27th, 2026

Time: 1 p.m. Eastern Time