How mAIndala compares
Most platforms govern one boundary of agentic AI — a gateway governs the call, a GRC platform governs the paperwork, a security tool governs the runtime. mAIndala governs the agent’s definition, its credentials, the tools it reaches, and the record it leaves — and turns that record into evidence a third party can verify without access to mAIndala. Here’s how that compares to the vendors you may already be evaluating.
Category map
The agentic AI governance landscape, mapped
Gateway, GRC platform, security tool, MCP registry, LLMOps platform — what each one actually governs, where mAIndala fits, and which one you need.
AI governance & compliance platform
mAIndala vs Credo AI
Credo AI and mAIndala both help organizations govern AI responsibly, but they work at different layers. Credo AI governs the AI system broadly — models, agents, and applications — through registration, risk assessment, and policy workflows. mAIndala governs the agent at the boundaries it actually crosses — the tools it reaches, the credentials it acts with, and the definition it runs — and turns every one of those governed events into a record a third party can verify independently.
AI / agent gateway
mAIndala vs Gravitee
Gravitee and mAIndala both govern how AI agents operate, but at different points in the agent’s lifecycle. Gravitee is a mature runtime gateway: it sits in the path of LLM, MCP, and agent-to-agent traffic and applies policy to every call. mAIndala governs the agent earlier and more broadly — attesting its definition before the first call, brokering the credentials it acts with, and exporting a verifiable record of what happened, on any model vendor.
AI-native platform + agent gateway
mAIndala vs TrueFoundry
TrueFoundry and mAIndala both bring governance to AI agents, but from different starting points. TrueFoundry is an AI-native platform — LLM Gateway, MCP Gateway, and Agent Gateway alongside model serving and LLMOps — built to run and route AI workloads with enterprise security certifications behind it. mAIndala focuses one layer up: attesting an agent’s definition before it runs, and producing a per-agent regulatory record independent of any platform, verifiable by a third party without access to either company.
Agentic AI security & posture
mAIndala vs Zenity
Zenity and mAIndala both help organizations understand and control what AI agents are doing, but they answer different questions. Zenity discovers running agents and detects and responds to threats in their behavior. mAIndala governs what an agent is allowed to do in the first place, brokers the credentials it acts with, and exports a record a third party can verify independently that it happened that way.
MCP registry & hosted runtime
mAIndala vs Smithery
Smithery and mAIndala both help you find MCP servers, but they answer different questions. Smithery is a large, fast MCP registry with managed hosting — it answers where do I find a server and how do I get it running now. mAIndala is a governance control plane that happens to include an open catalog — it answers whether a capability is safe to run, who approved it, what it can reach, and what it actually did.
Want the full picture of what mAIndala brings to enterprise governance, or to see plans and pricing?