Agentic AI Security and Governance

Real time visibility, risk assessment and enforcement at the machine level.


Agentic AI Needs a New Security Layer

Model Context Protocol (MCP) gives AI models the ability to take action: not just analyze, but execute. It’s powering the rise of agentic AI at an unprecedented pace.

13,000+ known MCP servers and growing fast

This shift introduces new risks traditional tools can’t handle:

Insecure by Default

like macros, but fully autonomous

Invisible to existing security stacks

browser and network tools can’t see MCP activity

No human in the loop

AI can trigger real-world actions without oversight

Meet MCP Gateway: The First Comprehensive Solution for Agentic AI Security

Built to monitor, control, and protect MCP interactions in real time.

Key Capabilities

Full Visibility:

Discover all MCP usage in your environment

Real-Time Protection:

Block malicious prompts and actions

Shadow MCP Detection:

Uncover unauthorized deployments

Risk Scoring:

Evaluate and rank each MCP server’s risk

Policy Enforcement:

Allow/block by user, server, or action

Audit Logging:

Get complete, searchable logs of every interaction

For your homegrown apps

Prompt Security’s AI Gateway sits between your AI applications and any connected MCP server, inspecting every request and response in real time.

Why Prompt Security?

The most comprehensive solution for Agentic AI Security:

  • Endpoint-level enforcement thanks to our lightweight agent or reverse proxy for your homegrown applications
  • MCP risk scoring, dynamically assessing over 13,000 MCP servers on GitHub
  • Deep inspection of interactions between users and MCP servers
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Secure Your Custom GPTs

Fully GPT-agnostic

Gain complete visibility into Custom GPT activity

Enforce granular policies by GPT and user group

Allow or block usage based on your risk tolerance and licensing terms

The future of AI is here: dynamic, autonomous, and deeply integrated into your systems.

Built to monitor, control, and protect MCP interactions in real time.

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