SOLUTION • AI GOVERNANCE
Your AI is multiplying. Your governance should be too.
Every model and agent is a question a regulator can ask. Can you answer for all of them?
AI is being built and deployed faster than any team can track by hand — models in every cloud, agents spun up by people who aren't engineers, all of it subject to regulation no one has mapped. Alation governs AI the way regulators think about it: by use case, mapped to the rules that apply, with the proof already assembled.
WHAT ALATION CAN DO FOR YOU
Other tools govern the model. Alation governs the use — down to the data it runs on
Compliance isn't a property of a model in isolation — it's a property of how that model is used, on what data, for whom. Alation starts with the use case, links every model and agent to it, and connects it all the way down to the governed data underneath — so governance is grounded in something real, not a form someone filled out once.
- Use Case Registry
- AI Governance
01
Govern the use case. Not just the model.
Register a use case. Answer a short questionnaire. Alation computes the risk tier and surfaces the regulations that apply. Governance scope is set before a single model is touched.
- Multi-Platform Discovery
- AI Governance
02
Inventory every AI system. Across every platform.
Models and agents pulled in automatically from the platforms you already run, across clouds, not just one ecosystem. Or registered via SDK from wherever engineers build. If it runs AI, Alation sees it. Nothing falls outside governance.
- Regulation-to-Requirements Agent
- AI Governance
03
From AI regulations to requirements to evidence.
EU AI Act. NIST AI RMF. ISO 42001. GDPR. And your own internal frameworks. Each decomposed into specific requirements for every use case, then mapped to the evidence that satisfies it. AI compliance becomes a live mapping.
- Agentic Governance Workflow
- AI Governance
04
Structured approval. Re-review when models change.
Each use case routed to the right approvers, with evidence attached and model cards included. When a model or agent changes, Alation flags it and prompts re-review. Sign-off is never stale.
- Executive Dashboard
- AI Governance
05
Board-ready compliance posture. Always current.
Live governance posture by use case, regulation, business unit. Board-ready export in one click. When the board or the regulator asks, you show the answer. You don't build it.
Where This Gets You
From AI you hope is compliant, to AI you can prove is.
Same AI estate, same regulations, same audit.
Alation changes whether you can actually answer for all of it — and how long it takes.
What does Alation do to help organizations govern their AI estate and prove compliance?
Alation automates the four stages required to govern an AI estate and answer for it during an audit — discovering every AI system, classifying its risk, routing it through review, and proving compliance on demand. Instead of AI sprawling unseen across clouds and shadow tools, with compliance evidence assembled by hand the week of an audit, Alation keeps a live, always-current record of what exists, how risky it is, who's reviewed it, and whether it's compliant — with proof ready the moment anyone asks.
How does Alation discover AI models and agents across an organization?
Alation automatically pulls in models and agents from every connected platform and registers anything built elsewhere through its SDK, linking each one to the use cases it serves. Without this, AI typically sprawls across clouds, agent builders, and shadow tools, and organizations end up governing off a spreadsheet-based inventory that's stale the day it's made — meaning they can't govern what they can't see. With Alation, organizations get a live inventory of every AI system and what it's actually used for, not a snapshot that's already out of date.
How does Alation classify AI risk?
Alation uses a structured questionnaire to compute a risk tier for each AI system and surface the regulations that apply, with the derivation traceable on every use case. Traditionally, risk tiering is a judgment call made in a meeting, documented inconsistently, and impossible to defend if the basis for the classification is later questioned. Alation replaces that with risk classifications that are consistent, explainable, and defensible — not opinions captured in a slide.
How does Alation manage AI review and approval workflows?
Alation routes each AI use case to the right reviewers through flexible workflows, attaches supporting evidence automatically, and flags when a model or agent changes so the review can run again. In a manual process, approvals typically live scattered across email and slide decks, sign-off is inconsistent, and nobody re-checks a model after it changes. With Alation, approvals become structured, auditable, and current — not a thread someone has to reconstruct after the fact.
How does Alation help prove AI compliance during an audit?
Alation computes compliance posture live, per use case and per regulation, and can generate a board-ready report in a single click. Without this, organizations typically assemble compliance evidence by hand the week of the audit, rebuilding the story across disconnected systems every time. With Alation, proof is always current and always assembled, ready the moment anyone asks for it.