The AI governance gap executives can’t ignore — and why it’s about to get worse

As enterprise AI shifts from simple chatbots to autonomous agents capable of executing actions, a critical governance gap is emerging regarding the management of "agentic" traffic and MCP servers. To avoid the security risks and high latency associated with fragmented, multi-tool architectures, organizations need a unified way to govern both LLM interactions and agent-driven workflows. Citrix NetScaler addresses this by providing a single platform to manage both layers of AI traffic using existing infrastructure.