Enterprise-Grade Runtime Defense for MCP-connected Applications
Automatically catalog MCP tools and discover AI agents in real-time across all environments. View live traffic graphs and telemetry to understand active access patterns between AI agent clients and MCP servers. Gain end-to-end visibility from development tools to cloud deployments, eliminating blind spots in shadow MCP servers. Achieve comprehensive discovery from coding agents to remote AI agents in multi-cloud environments.
Detect sensitive data leaks to and from AI agents and MCP tools in real-time. Identify new AI threat vectors, such as tool poisoning, jailbreaks, and unauthorized access. Monitor supply chain security for threats in local and remote servers. Assign trust and risk scores to all MCP servers in the environment.
Implement MCP trust zones with real-time blocking of untrusted servers and tools. Prevent sensitive data and intellectual property leaks through immediate flow blocking and automatic redaction. Enforce least privilege execution controls and detailed access permissions for MCP tool usage. Establish a centralized governance framework for managing AI agents and tools across the enterprise. Apply rate limiting and encryption standards to all MCP communications.