Mia-Platform vs AI Governance Platforms
They hold the policy and the inventory. Mia-Platform applies it where agentic engineering happens, and produces the evidence they consume.
Before you start. A transparent comparison, to help you choose freely. We compare categories, never products.
A note from our leadership
A fast-moving market, and a way to find your bearings.
This comparison is here to help anyone who has to choose in a market that moves fast. It's a transparent comparison, designed to help you understand which category of solutions best fits your needs. We compare categories, never individual products, and we also say where Mia-Platform fits, so you can weigh it with a critical eye.
We share our experience and the public documentation of each category, so that your choice is considered and informed, built on your own use cases.
Francesco Soncini Sessa · CFOFederico Soncini Sessa · COOGiulio Roggero · CTO
AI Governance Platforms: three things to take away.
- Where the category shines
The home of policy, inventory and risk.
Lifecycle oversight, risk registers, model documentation and control mapping, built for risk and compliance teams, with deep roots in regulated industries.
- Where it stops
Policy held is not policy applied.
A policy kept in a register doesn't stop an agent from calling a tool, merging code or spending tokens. What matters is where the policy is actually applied.
Where Mia-Platform fitsWe apply it where agents act.
Agentic engineering needs policy at the moment an agent acts. Mia-Platform applies your policy when an agent calls a tool, before its code is merged and before tokens are spent, and produces the evidence for audits that your governance platform consumes. It complements it; it doesn't replace it.
AI Governance Platforms, in plain words.
What it is
AI governance platforms are where risk, compliance and security teams define, approve and track AI policies, keep an inventory of models, applications and agents, and document controls.
What it is for
- Defining and approving AI policies
- Keeping an inventory of models, applications and agents
- Assessing risk and documenting models
- Addressing shadow AI and mapping controls to regulations and standards
Why it matters now
In many organizations AI governance exists on paper, but not where AI actually runs. Your agents call tools, change code and spend tokens every day, and a policy kept in a register stops none of it. What counts is whether the policy is applied at the moment an agent acts: when it calls a tool, before its code is merged, before tokens are spent.
Where Mia-Platform differs
- Enforced where AI runs. Your policy takes effect when an agent acts, instead of waiting for someone to read a report and react.
- Evidence for audits. Audit logs, item versioning and compliance campaigns produce evidence your governance and audit teams can use.
- Independent of every vendor. One rule set for coding agents and business AI, across models, clouds and toolchains.
- European roots, built for global enterprises. Mia-Platform is a European company, ready for enterprises that work across countries, clouds and regulations.
AI Governance Platforms and Mia-Platform: where each approach is strong.
Read the rows that matter to your context. Where the category is as strong as we are, we say so.
| Criterion |  | Typical AI governance platforms |
|---|---|---|
| Policy applied at the point of action | Full When an agent calls a tool, before code is merged and before tokens are spent. | Partial Increasingly expected to enforce; many still document and assess. |
| Controls embedded in the pipelines where AI is built | Full Standards, security guardrails and quality scorecards in the path to production. | Partial Some embed controls in pipelines; many sit beside them. |
| AI spend limits tied to who is calling | Full Each limit follows the agent's owner and team, as recorded in the agent inventory. | Partial Mostly outside scope; a few add gateway features. |
| Inventory of agents with owner and scoped access | Full Centralized agent discovery and registry, with an owner and scoped access for every agent. | Full Core function: lifecycle oversight and shadow AI discovery. |
| Evidence for audits | Full Audit log, item versioning and compliance campaigns produce evidence your audits can use. | Full Strong: assessments, control mapping and reporting. |
| Mapping controls to your frameworks | Full Each control becomes a rule or a scorecard enforced where agents act, with pre-built templates for AI Act, NIS2 and DORA, and compliance campaigns map it to evidence. Policy management and risk registers stay in your governance, risk and compliance (GRC) tools. | Full Core strength: control mapping to regulations and standards. |
Based on publicly available documentation and marketing materials. It describes what the category typically offers: individual products vary, so check each one against your own requirements.
The products behind this comparison.
Every Full row in the table comes from one of these products. Put the controls where agents act, not only on paper.
Context Catalog
Connect, configure, and serve context to AI agents and applications through a governed catalog of enterprise knowledge.
IN THIS TABLEExplore Context Catalog
AI Foundry
Design, manage, and govern AI Playbooks to bring generative AI applications and agents to production.
Explore AI Foundry
Console
Automate your cloud-native development lifecycle with self-service Environment as a Service capabilities.
IN THIS TABLEExplore Console
Flow
Accelerate prototyping with AI-driven workflows for your enterprise applications and services.
IN THIS TABLEExplore Flow
AI Governance Platforms: questions worth asking.
Three questions that cut through the positioning, and how we answer each one. They work for any vendor, including us.
Ask any vendor
Mia-Platform enforces the policy at three points: when an agent calls a tool, before its code is merged and before tokens are spent. Your governance platform holds the policy and the inventory; Mia-Platform applies it where coding and business agents act. See this row in the table
About Mia-Platform
Other categories you may be weighing.
Keep your governance, risk and compliance tools. Mia-Platform doesn't replace them. It applies your policy where agents act and produces evidence that your governance platform can use.
AI Cost & FinOps Tools
Cost reports after the bill. AI spend managed before the first token.
AI & MCP Gateways
Deep at the call. But a gateway alone doesn't know who the agent is, what it knows or what it may do in production.
Hyperscaler Agent Platforms
Strong enforcement inside their own cloud. The catch: your AI rules end up living in that cloud too.