Compare Airia to other AI platforms
Most AI platforms solve one part of the problem. Governance tools track policy, security tools block threats, and cost tools watch spend. Airia is one platform for all of it.
Last updated November 5, 2026
Airia brings it all together in one platform, so you can:
Discover every model, agent, and AI tool in use, including the ones nobody registered.
Secure agents and their tool access, with guardrails on every prompt, response, and action.
Govern AI against the frameworks you answer to, with policy enforced where AI runs.
Optimize AI costs with spend tracking, budgets, and smart model routing.
Our comparisons show how Airia stacks up across all four. Each is based on publicly available information and covers where the other platform is strong, not just where Airia goes further.
Choose a comparison
Airia vs Cranium
Independent security layer over AI you run elsewhere. Airia secures and runs AI on one platform.
Read the comparisonAiria vs Credo AI
Strong governance system of record. Airia enforces those policies where AI runs.
Read the comparisonAiria vs Holistic AI
Deep testing and supervisory agents. Airia adds agent building, routing and AI spend.
Read the comparisonAiria vs IBM watsonx.governance
Best if you’re standardized on IBM. Airia governs across any model provider in one product.
Read the comparisonAiria vs ModelOp
Lifecycle system of record for regulated firms. Airia finds and controls the AI that skipped intake.
Read the comparisonAiria vs Monitaur
Specialist model risk governance for insurance. Airia governs models and agents at runtime.
Read the comparisonAiria vs OneTrust
Best inside an existing OneTrust privacy program. Airia is built for AI from the ground up.
Read the comparisonAiria vs Relyance AI
Centers AI risk on data lineage. Airia adds 15 frameworks, agent building and AI FinOps.
Read the comparisonAiria vs Saidot
Knowledge-led governance with an EU focus. Airia adds discovery and request-path enforcement.
Read the comparisonAiria vs SAP AI Agent Hub
Best when your AI estate centers on SAP. Airia governs and enforces across your whole enterprise.
Read the comparisonAiria vs ServiceNow
Keeps governance in your IT workflows. Airia adds guardrails that don’t depend on one platform.
Read the comparisonAiria vs Singulr
Enforcement over AI you run elsewhere. Airia adds agent building, routing and spend control.
Read the comparisonAiria vs Truyo
Combines AI governance with privacy operations. Airia adds runtime enforcement and agent security.
Read the comparisonAiria vs Tumeryk
One risk score per interaction. Airia wraps that in a full governance program.
Read the comparison
Five capabilities to compare on every platform
AI discovery. You can’t govern AI you can’t see, including tools on endpoints and coding agents.
Runtime enforcement. Policy only counts if it applies to every prompt, response and agent action as it happens.
MCP and agent tool access. Agents act on their own, so you need control over which tools and servers they can reach.
Agent and workflow building. Building on the governed platform means guardrails apply from the first pilot.
AI spend and model routing. Budgets, cost attribution and failover keep AI affordable and reliable at scale.
Frequently asked questions
What is an AI governance platform?
An AI governance platform gives an organization visibility and control over the AI it uses. It inventories the models, agents, and AI tools in use, maps them to the regulations and frameworks the organization answers to, and applies policy to how they are used. Airia goes a step further and enforces that policy where AI runs, on every prompt, response, and agent action.
How does Airia discover AI agents and tools nobody registered?
Airia discovers AI across eight surfaces, including endpoints and coding agents, so the agents, models, and AI tools teams adopted without going through intake show up alongside the ones they registered. Everything it finds lands in one inventory, where it can be classified, secured, and governed.
How does Airia secure AI agents?
Airia puts guardrails in the request path, so every prompt, response, and agent action is checked as it happens, not reviewed after the fact. The MCP Gateway controls which tools and MCP servers each agent can reach, and every decision is logged to the AI Audit Trail.
How does Airia optimize AI costs?
Airia attributes AI spend to teams, models, and agents, and holds budgets in the request path, so spend is controlled as requests run instead of discovered on the invoice. Smart model routing sends each request to the right model and fails over when a provider degrades, keeping AI both affordable and reliable.
How is AI governance different from AI security?
AI governance sets the rules: which AI is approved, what risk it carries, and which frameworks it has to meet. AI security protects AI from threats such as prompt injection, data leakage, and unauthorized tool access. Now that agents take actions on their own, the two have to work together, so the policy a governance team writes is the policy enforced at runtime.
What should I look for when comparing AI governance tools?
Compare every vendor on the same five capabilities: AI discovery, runtime enforcement, MCP and agent tool access, agent and workflow building, and AI spend and model routing. Ask how much AI the platform will find that you do not already know about, whether policy is enforced before an action completes or reported after it, and whether discovery, security, governance, and cost run on one platform or several.
Can Airia work alongside the governance tool we already use?
Yes. Many teams keep their existing governance tool as the system of record for policies and assessments, and use Airia to discover the AI it misses, enforce those policies where models and agents run, and track what that AI costs. Each comparison above explains how Airia works alongside that platform.
See every model, agent, and workflow run on one platform
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