Agentic AI Security and Governance
Real time visibility, risk assessment and enforcement at the machine level for agentic AI systems.
Agentic AI Needs a New Security Layer
Model Context Protocol (MCP) gives AI systems the ability to take action: not just analyze, but execute. It’s powering the rise of agentic AI at an unprecedented pace, transforming how artificial intelligence operates within organizations.
13,000+ known MCP servers and growing fast
This shift introduces new security risks traditional AI tools can’t handle:
Insecure by Default
like macros, but autonomous agents operating without human oversight
Invisible to existing security stacks
browser and network tools can’t see MCP activity, creating blind spots in threat detection
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, strengthening your security posture against AI threats.
Key Capabilities
Full Visibility:
Discover all MCP usage in your environment and monitor AI agent behavior
Real-Time Protection:
Block malicious AI agents and actions through advanced threat intelligence
Shadow MCP Detection:
Uncover unauthorized access and deployments that bypass security controls
Risk Scoring:
Evaluate and rank each MCP server’s vulnerability profile
Policy Enforcement:
Allow/block by user, server, or action according to your security policy
Audit Logging:
Get complete, searchable logs of every interaction for risk management
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 to protect sensitive data and information.
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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, enabling security teams to maintain control
- MCP risk scoring, dynamically assessing over 13,000 MCP servers on GitHub to identify emerging threats
- Deep inspection of interactions between users and MCP servers
