Evoke Security vs Lunar.dev MCP Gateway (MCPX): Side-by-Side Comparison (2026)

Evoke Security

Enterprise and mid-market security teams deploying AI agents across production environments need visibility into agent behavior and permissions that traditional tools simply don't provide; Evoke Security maps agent skills, detects unauthorized actions, and enforces per-agent policies where most platforms go blind. The auto-discovery engine catches shadow AI instances across local, SaaS, and production contexts while real-time monitoring of prompts and tool calls addresses the NIST Detect and Respond gaps that leave agent-based systems exposed. Skip this if your organization hasn't yet deployed agentic AI beyond experimentation, or if you're looking for a broader AI risk management platform that covers model governance and data classification alongside runtime agent security.

Lunar.dev MCP Gateway (MCPX)

Security teams deploying Claude or other agentic AI systems will find real value in MCPX's per-agent tool restrictions and immutable audit logs that actually capture prompt payloads and attribution, not just API calls. The role-based access control with on-behalf-of tracking addresses the specific governance gap that makes AI agents harder to audit than traditional service accounts. This tool prioritizes Govern and Detect over Respond, which works if your security model treats agent behavior as inherently less trustworthy than human access. Skip MCPX if you're looking for a lightweight proxy; the MCP Risk Score Engine is beta and Lunar.dev's 15-person team means you're betting on a startup's ability to track an evolving threat surface faster than vendors with security divisions.