AI Governance

Know every AI system. Prove it's governed.

Inventory models and agents, map them to regulations and internal policies, and produce defensible evidence from one governed platform.

  • Trusted by 500+ enterprises

  • 5x Gartner Magic Quadrant Leader, Metadata Management

  • Named in the Forrester Responsible AI Solutions Landscape, Q2 2026

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AI is moving faster than governance can keep up

If the board or an auditor asked today, could you show which AI systems are in production, which requirements apply, who approved them, and whether the evidence is complete? When inventories, policies, and approvals live in separate systems, a defensible answer can take days or weeks.

StageWithout Alation AI GovernanceWith Alation AI Governance
InventoryAI inventory scattered across spreadsheets and toolsOne searchable registry for models, agents, and AI tools
ApprovalsApprovals buried in email and SlackRegulation-aware workflows with a complete audit trail
RequirementsRequirements interpreted and mapped by handRegulations and internal policies mapped to relevant AI use cases
EvidenceEvidence assembled under pressureEvidence-backed model cards and reporting on demand
RiskAI risk and data risk reviewed separatelyAI assets connected to governed lineage, quality, and certification data

From AI inventory to
defensible evidence

Replace disconnected tools and manual checks with one continuous, auditable governance process.

  • Alation AI Governance dashboard showing an asset registry list of AI agents and ML models with governance status and use cases.

    01

    Discover every AI asset

    Automatically inventory models, agents, and AI tools across connected platforms, with a searchable profile for each asset.

  • Alation AI Governance dashboard showing the Loan Approval Assistant asset registry page with risk status, use cases, and agent tools.

    02

    Apply the right requirements

    Map regulations and internal policies to the AI assets and use cases they govern.

  • Alation AI Governance dashboard showing Consumer Lending use case with approval workflow steps and trigger re-review settings.

    03

    Automate evidence and approvals

    Generate evidence-backed model cards, flag gaps for human verification, route reviews, and preserve every action in an audit trail.

  • Alation AI Governance dashboard showing overview with governance posture, risk distribution, action items, and recent activity feed.

    04

    Monitor and report with confidence

    Track compliance posture, open risks, and outstanding tasks. Drill into the supporting assets and evidence, then export a board-ready report.

Govern the AI - and the data behind it

Standalone AI governance tools often stop at the model. Alation connects each AI asset to the lineage, quality, and certification context already governed in the platform.
That means reviews can account for both model risk and data risk - so you can defend not only how AI was approved, but what it depends on.

Alation UI showing the Retail Analysis Agent page with Data Access tab, listing tables and data quality metrics.

Move from collecting evidence to being evidence-ready

Build model cards and compliance reporting from governed metadata, policies, and live workflow activity - without starting from scratch for every review.

  • Named

    in the Forrester Responsible AI Solutions Landscape, Q2 2026

  • 5X

    Gartner Magic Quadrant Leader, Metadata Management (2017–2020 & 2025) and Leader, Data & Analytics Governance (2025)

  • 500+

    global enterprise customers trust Alation, including hundreds of the Fortune 1000

Built for organizations where AI risk is business risk

  • "Governance is critical when working with limited data sets."





    — Alexander Grima, Data & Analytics Architect, GKN Aerospace

  • Interac partnered with Alation to strengthen transparency and traceability across its AI processes and prepare for future AI initiatives.



    — Mohit Sirpal, Data Governance Lead, and Shubneet Bharwani, Data Governance Specialist, Interac

  • "Before we would hand an agent autonomy, even to a small degree, we absolutely need clear ownership of the data it would touch and documented lineage to trace a bad decision back to its source."

    — Nathalie Berdat, Data Director of Product, BBC

FAQ

  • We already govern AI in our cloud platform. Why add this?

    Keep it. Your cloud platform governs runtime activity; Alation maintains the compliance record - what was approved, for which use case, on what evidence, and whether that evidence is still current.

  • How is this different from a GRC tool or a compliance spreadsheet?

    Spreadsheets and GRC tools depend on manual updates. Alation connects to the platforms where teams build AI, continuously surfaces published assets and changes, and keeps every compliance claim tied to current evidence.

  • Alation is a data catalog. Why is that the right place for AI governance?

    Spreadsheets and GRC tools depend on manual updates. Alation connects to the platforms where teams build AI, continuously surfaces published assets and changes, and keeps every compliance claim tied to current evidence.

The board will ask. Be ready to answer.