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Citrix launches MCP Gateway to secure enterprise AI agents
Citrix announced new MCP Gateway functionality for its NetScaler platform that enables enterprises to securely route, govern, and observe traffic to Model Context Protocol servers. The update also includes enhancements to NetScaler AI Gateway for improved model routing and token-level usage tracking on large language model traffic.
Why it matters: Enterprise security teams need tools to manage and monitor AI agent traffic alongside LLM traffic; this update provides centralized governance from a single platform and dashboard.
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- First seen by Cybersecurity Tracker
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Correction
Correction recorded as of .
industry
Citrix launches MCP Gateway to secure enterprise AI agents
No summary had been written when this copy was frozen.
- First seen by Cybersecurity Tracker
Source attribution
Correction
Correction recorded as of .
industry
Citrix launches MCP Gateway to secure enterprise AI agents
Citrix announced MCP Gateway functionality for its NetScaler platform, enabling enterprises to securely route, govern, and observe traffic to Model Context Protocol (MCP) servers used by artificial intelligence (AI) agents. The company also enhanced NetScaler AI Gateway with expanded model routing capabilities and token-level usage tracking for large language model (LLM) traffic. These additions consolidate governance of enterprise AI systems within a single platform and dashboard.
Why it matters: Enterprise security teams managing AI agent deployments need visibility and control over agent-to-backend communication; this addresses the governance gap between frontend and backend AI infrastructure.
- Source published
- First seen by Cybersecurity Tracker
Source attribution
Correction
Correction recorded as of .
industry
Citrix launches MCP Gateway to secure enterprise AI agents
Citrix announced MCP Gateway functionality for its NetScaler platform, enabling enterprises to securely route, govern, and observe traffic to Model Context Protocol (MCP) servers used by artificial intelligence (AI) agents. The company also enhanced NetScaler AI Gateway with expanded model routing capabilities and token-level usage tracking for large language model (LLM) traffic. These additions consolidate governance of enterprise AI systems within a single platform and dashboard.
Why it matters: Enterprise security teams managing AI agent deployments need visibility and control over agent-to-backend communication; this addresses the governance gap between frontend and backend AI infrastructure.
- Source published
- First seen by Cybersecurity Tracker