8 rated platforms

AI governance tools, rated on published evidence

Compare software for AI inventories, risk review, regulatory controls and lifecycle oversight. Scores show what each vendor documents publicly against the same 25 criteria; they are not a legal compliance verdict or a hands-on product test.

See the ratings How scoring works

25 criteria · maximum 100 points · reviewed 13 November 2026

Category scope

What these ratings cover

AI governance software should help teams move from scattered AI use to accountable, reviewable decisions. This category compares discoverability and inventory, risk classification, provider and deployer workflows, controls, technical documentation, human oversight, monitoring and incident handling. A register alone does not count as lifecycle governance.

Included

Inventory of internally built, purchased, embedded and generative AI systems, with owners and intended purpose
Risk screening and classification workflows that distinguish provider and deployer responsibilities
Control mapping, approvals, impact assessments and traceable governance decisions
Evidence and documentation workflows, including human oversight and change history
Lifecycle monitoring, incident handling, periodic review and retirement records

Not included

Model testing or observability products without organisational governance workflows
AI development platforms whose main purpose is training or hosting models
Consulting, legal advice and policy libraries without a software product
A checklist or AI register that does not connect systems to owners, reviews and evidence

Public evidence review

Ratings and source pages

Each score is calculated from vendor-published product and documentation pages. Open a platform to see each criterion result and the pages reviewed for that entry.

Rank 01

Trustible

86 / 100

Public evidence score

AI governance platform for use-case intake, inventory, risk triage, control mapping to the EU AI Act, NIST AI RMF and ISO 42001, with monitoring and audit-ready evidence.

Official website ↗

1 criteria not found in reviewed pages · sources reviewed 13 November 2026

IInventory and scope18 / 20

I1Central AI system inventoryA searchable register of AI systems or use cases.Documented4/4

I2Third-party AI includedVendor, embedded or externally supplied AI can be recorded.Documented4/4

I3Discovery beyond manual entryA documented way to discover AI in the organisation or connect discovery sources.Partially documented2/4

I4Purpose and ownership recordedA use case can be tied to its purpose and accountable people or teams.Documented4/4

I5Generative AI and agents coveredThe published product scope explicitly includes generative AI, agents or both.Documented4/4

RRisk and regulation20 / 20

R1Risk assessment and classificationA documented workflow assesses or classifies AI use cases by risk.Documented4/4

R2EU AI Act mappingA product workflow, template or controls are expressly mapped to the EU AI Act.Documented4/4

R3More than one governance frameworkThe product maps controls to additional frameworks such as ISO/IEC 42001 or NIST AI RMF.Documented4/4

R4Impact assessment workflowA documented impact or fundamental-rights assessment is available.Documented4/4

R5Responsibilities and stakeholdersThe workflow assigns or routes review across accountable functions or stakeholders.Documented4/4

CControls and workflow18 / 20

W1Structured intakeNew AI use cases enter through a documented request or intake workflow.Documented4/4

W2Approval gatesReviews or approvals can be required before deployment or material changes.Documented4/4

W3Role-based governanceThe product documents differentiated roles or access for governance work.Documented4/4

W4Human oversight recordedHuman oversight responsibilities or checkpoints can be documented in the workflow.Partially documented2/4

W5Policies become controlsPolicies or regulatory requirements map to trackable controls or actions.Documented4/4

EEvidence and records18 / 20

E1Technical evidence and documentationThe product records or manages technical documentation and supporting evidence.Documented4/4

E2System relationships and lineageLinks between systems, models, data, vendors or dependencies can be represented.Partially documented2/4

E3Traceable review historyActions, changes or reviews have a documented history or audit trail.Documented4/4

E4Governance reportingA governance report, factsheet or evidence export is documented.Documented4/4

E5Evidence tied to controlsEvidence, sign-offs or validation results can be attached to governance requirements.Documented4/4

LLifecycle assurance12 / 20

L1Post-deployment monitoringMonitoring continues after deployment, beyond a one-time approval.Documented4/4

L2Performance and responsible-AI testingTesting or monitoring includes quality, fairness, bias, robustness or drift.Partially documented2/4

L3Incident or issue follow-upDetected issues can trigger a documented response, workflow or remediation.Documented4/4

L4Runtime controlsThe product documents guardrails or controls that can act during AI use.Not found in reviewed pages0/4

L5Periodic review and changeThe product documents reassessment, review intervals or lifecycle change handling.Partially documented2/4

Vendor pages reviewed

Open the full profile

Rank 02

Holistic AI

84 / 100

Public evidence score

AI discovery, risk assessment, testing and monitoring with policy controls and runtime enforcement.

Official website ↗

1 criteria not found in reviewed pages · sources reviewed 13 November 2026

IInventory and scope16 / 20

I1Central AI system inventoryA searchable register of AI systems or use cases.Documented4/4

I2Third-party AI includedVendor, embedded or externally supplied AI can be recorded.Partially documented2/4

I3Discovery beyond manual entryA documented way to discover AI in the organisation or connect discovery sources.Documented4/4

I4Purpose and ownership recordedA use case can be tied to its purpose and accountable people or teams.Partially documented2/4

I5Generative AI and agents coveredThe published product scope explicitly includes generative AI, agents or both.Documented4/4

RRisk and regulation14 / 20

R1Risk assessment and classificationA documented workflow assesses or classifies AI use cases by risk.Documented4/4

R2EU AI Act mappingA product workflow, template or controls are expressly mapped to the EU AI Act.Documented4/4

R3More than one governance frameworkThe product maps controls to additional frameworks such as ISO/IEC 42001 or NIST AI RMF.Documented4/4

R4Impact assessment workflowA documented impact or fundamental-rights assessment is available.Not found in reviewed pages0/4

R5Responsibilities and stakeholdersThe workflow assigns or routes review across accountable functions or stakeholders.Partially documented2/4

CControls and workflow16 / 20

W1Structured intakeNew AI use cases enter through a documented request or intake workflow.Partially documented2/4

W2Approval gatesReviews or approvals can be required before deployment or material changes.Documented4/4

W3Role-based governanceThe product documents differentiated roles or access for governance work.Documented4/4

W4Human oversight recordedHuman oversight responsibilities or checkpoints can be documented in the workflow.Partially documented2/4

W5Policies become controlsPolicies or regulatory requirements map to trackable controls or actions.Documented4/4

EEvidence and records18 / 20

E1Technical evidence and documentationThe product records or manages technical documentation and supporting evidence.Documented4/4

E2System relationships and lineageLinks between systems, models, data, vendors or dependencies can be represented.Documented4/4

E3Traceable review historyActions, changes or reviews have a documented history or audit trail.Partially documented2/4

E4Governance reportingA governance report, factsheet or evidence export is documented.Documented4/4

E5Evidence tied to controlsEvidence, sign-offs or validation results can be attached to governance requirements.Documented4/4

LLifecycle assurance20 / 20

L1Post-deployment monitoringMonitoring continues after deployment, beyond a one-time approval.Documented4/4

L2Performance and responsible-AI testingTesting or monitoring includes quality, fairness, bias, robustness or drift.Documented4/4

L3Incident or issue follow-upDetected issues can trigger a documented response, workflow or remediation.Documented4/4

L4Runtime controlsThe product documents guardrails or controls that can act during AI use.Documented4/4

L5Periodic review and changeThe product documents reassessment, review intervals or lifecycle change handling.Documented4/4

Vendor pages reviewed

Open the full profile

Rank 03

IBM watsonx.governance

84 / 100

Public evidence score

AI use-case inventory, EU AI Act applicability assessment, governance workflows and model evaluation and monitoring.

Official website ↗

1 criteria not found in reviewed pages · sources reviewed 13 November 2026

IInventory and scope16 / 20

I1Central AI system inventoryA searchable register of AI systems or use cases.Documented4/4

I2Third-party AI includedVendor, embedded or externally supplied AI can be recorded.Partially documented2/4

I3Discovery beyond manual entryA documented way to discover AI in the organisation or connect discovery sources.Partially documented2/4

I4Purpose and ownership recordedA use case can be tied to its purpose and accountable people or teams.Documented4/4

I5Generative AI and agents coveredThe published product scope explicitly includes generative AI, agents or both.Documented4/4

RRisk and regulation16 / 20

R1Risk assessment and classificationA documented workflow assesses or classifies AI use cases by risk.Documented4/4

R2EU AI Act mappingA product workflow, template or controls are expressly mapped to the EU AI Act.Documented4/4

R3More than one governance frameworkThe product maps controls to additional frameworks such as ISO/IEC 42001 or NIST AI RMF.Documented4/4

R4Impact assessment workflowA documented impact or fundamental-rights assessment is available.Not found in reviewed pages0/4

R5Responsibilities and stakeholdersThe workflow assigns or routes review across accountable functions or stakeholders.Documented4/4

CControls and workflow18 / 20

W1Structured intakeNew AI use cases enter through a documented request or intake workflow.Documented4/4

W2Approval gatesReviews or approvals can be required before deployment or material changes.Documented4/4

W3Role-based governanceThe product documents differentiated roles or access for governance work.Partially documented2/4

W4Human oversight recordedHuman oversight responsibilities or checkpoints can be documented in the workflow.Documented4/4

W5Policies become controlsPolicies or regulatory requirements map to trackable controls or actions.Documented4/4

EEvidence and records18 / 20

E1Technical evidence and documentationThe product records or manages technical documentation and supporting evidence.Documented4/4

E2System relationships and lineageLinks between systems, models, data, vendors or dependencies can be represented.Partially documented2/4

E3Traceable review historyActions, changes or reviews have a documented history or audit trail.Documented4/4

E4Governance reportingA governance report, factsheet or evidence export is documented.Documented4/4

E5Evidence tied to controlsEvidence, sign-offs or validation results can be attached to governance requirements.Documented4/4

LLifecycle assurance16 / 20

L1Post-deployment monitoringMonitoring continues after deployment, beyond a one-time approval.Documented4/4

L2Performance and responsible-AI testingTesting or monitoring includes quality, fairness, bias, robustness or drift.Documented4/4

L3Incident or issue follow-upDetected issues can trigger a documented response, workflow or remediation.Partially documented2/4

L4Runtime controlsThe product documents guardrails or controls that can act during AI use.Partially documented2/4

L5Periodic review and changeThe product documents reassessment, review intervals or lifecycle change handling.Documented4/4

Vendor pages reviewed

Open the full profile

Rank 04

Deeploy

80 / 100

Public evidence score

AI registry and governance workflows covering risk classification, controls, review, monitoring and runtime guardrails.

Official website ↗

2 criteria not found in reviewed pages · sources reviewed 13 November 2026

IInventory and scope20 / 20

I1Central AI system inventoryA searchable register of AI systems or use cases.Documented4/4

I2Third-party AI includedVendor, embedded or externally supplied AI can be recorded.Documented4/4

I3Discovery beyond manual entryA documented way to discover AI in the organisation or connect discovery sources.Documented4/4

I4Purpose and ownership recordedA use case can be tied to its purpose and accountable people or teams.Documented4/4

I5Generative AI and agents coveredThe published product scope explicitly includes generative AI, agents or both.Documented4/4

RRisk and regulation14 / 20

R1Risk assessment and classificationA documented workflow assesses or classifies AI use cases by risk.Documented4/4

R2EU AI Act mappingA product workflow, template or controls are expressly mapped to the EU AI Act.Documented4/4

R3More than one governance frameworkThe product maps controls to additional frameworks such as ISO/IEC 42001 or NIST AI RMF.Documented4/4

R4Impact assessment workflowA documented impact or fundamental-rights assessment is available.Not found in reviewed pages0/4

R5Responsibilities and stakeholdersThe workflow assigns or routes review across accountable functions or stakeholders.Partially documented2/4

CControls and workflow16 / 20

W1Structured intakeNew AI use cases enter through a documented request or intake workflow.Documented4/4

W2Approval gatesReviews or approvals can be required before deployment or material changes.Documented4/4

W3Role-based governanceThe product documents differentiated roles or access for governance work.Partially documented2/4

W4Human oversight recordedHuman oversight responsibilities or checkpoints can be documented in the workflow.Partially documented2/4

W5Policies become controlsPolicies or regulatory requirements map to trackable controls or actions.Documented4/4

EEvidence and records16 / 20

E1Technical evidence and documentationThe product records or manages technical documentation and supporting evidence.Documented4/4

E2System relationships and lineageLinks between systems, models, data, vendors or dependencies can be represented.Partially documented2/4

E3Traceable review historyActions, changes or reviews have a documented history or audit trail.Documented4/4

E4Governance reportingA governance report, factsheet or evidence export is documented.Documented4/4

E5Evidence tied to controlsEvidence, sign-offs or validation results can be attached to governance requirements.Partially documented2/4

LLifecycle assurance14 / 20

L1Post-deployment monitoringMonitoring continues after deployment, beyond a one-time approval.Documented4/4

L2Performance and responsible-AI testingTesting or monitoring includes quality, fairness, bias, robustness or drift.Partially documented2/4

L3Incident or issue follow-upDetected issues can trigger a documented response, workflow or remediation.Not found in reviewed pages0/4

L4Runtime controlsThe product documents guardrails or controls that can act during AI use.Documented4/4

L5Periodic review and changeThe product documents reassessment, review intervals or lifecycle change handling.Documented4/4

Vendor pages reviewed

Open the full profile

Rank 05

Credo AI

80 / 100

Public evidence score

AI registry, vendor registry, risk intelligence and policy packs for governance across development and production.

Official website ↗

1 criteria not found in reviewed pages · sources reviewed 13 November 2026

IInventory and scope18 / 20

I1Central AI system inventoryA searchable register of AI systems or use cases.Documented4/4

I2Third-party AI includedVendor, embedded or externally supplied AI can be recorded.Documented4/4

I3Discovery beyond manual entryA documented way to discover AI in the organisation or connect discovery sources.Documented4/4

I4Purpose and ownership recordedA use case can be tied to its purpose and accountable people or teams.Partially documented2/4

I5Generative AI and agents coveredThe published product scope explicitly includes generative AI, agents or both.Documented4/4

RRisk and regulation16 / 20

R1Risk assessment and classificationA documented workflow assesses or classifies AI use cases by risk.Documented4/4

R2EU AI Act mappingA product workflow, template or controls are expressly mapped to the EU AI Act.Documented4/4

R3More than one governance frameworkThe product maps controls to additional frameworks such as ISO/IEC 42001 or NIST AI RMF.Documented4/4

R4Impact assessment workflowA documented impact or fundamental-rights assessment is available.Not found in reviewed pages0/4

R5Responsibilities and stakeholdersThe workflow assigns or routes review across accountable functions or stakeholders.Documented4/4

CControls and workflow16 / 20

W1Structured intakeNew AI use cases enter through a documented request or intake workflow.Documented4/4

W2Approval gatesReviews or approvals can be required before deployment or material changes.Documented4/4

W3Role-based governanceThe product documents differentiated roles or access for governance work.Partially documented2/4

W4Human oversight recordedHuman oversight responsibilities or checkpoints can be documented in the workflow.Partially documented2/4

W5Policies become controlsPolicies or regulatory requirements map to trackable controls or actions.Documented4/4

EEvidence and records16 / 20

E1Technical evidence and documentationThe product records or manages technical documentation and supporting evidence.Documented4/4

E2System relationships and lineageLinks between systems, models, data, vendors or dependencies can be represented.Documented4/4

E3Traceable review historyActions, changes or reviews have a documented history or audit trail.Partially documented2/4

E4Governance reportingA governance report, factsheet or evidence export is documented.Documented4/4

E5Evidence tied to controlsEvidence, sign-offs or validation results can be attached to governance requirements.Partially documented2/4

LLifecycle assurance14 / 20

L1Post-deployment monitoringMonitoring continues after deployment, beyond a one-time approval.Documented4/4

L2Performance and responsible-AI testingTesting or monitoring includes quality, fairness, bias, robustness or drift.Partially documented2/4

L3Incident or issue follow-upDetected issues can trigger a documented response, workflow or remediation.Partially documented2/4

L4Runtime controlsThe product documents guardrails or controls that can act during AI use.Partially documented2/4

L5Periodic review and changeThe product documents reassessment, review intervals or lifecycle change handling.Documented4/4

Vendor pages reviewed

Open the full profile

Rank 06

Optro

78 / 100

Public evidence score

AI governance module in the Optro GRC platform, covering AI and agent inventory, automated risk scoring, mapping to 25+ frameworks and evidence evaluation for controls.

Official website ↗

2 criteria not found in reviewed pages · sources reviewed 13 November 2026

IInventory and scope20 / 20

I1Central AI system inventoryA searchable register of AI systems or use cases.Documented4/4

I2Third-party AI includedVendor, embedded or externally supplied AI can be recorded.Documented4/4

I3Discovery beyond manual entryA documented way to discover AI in the organisation or connect discovery sources.Documented4/4

I4Purpose and ownership recordedA use case can be tied to its purpose and accountable people or teams.Documented4/4

I5Generative AI and agents coveredThe published product scope explicitly includes generative AI, agents or both.Documented4/4

RRisk and regulation16 / 20

R1Risk assessment and classificationA documented workflow assesses or classifies AI use cases by risk.Documented4/4

R2EU AI Act mappingA product workflow, template or controls are expressly mapped to the EU AI Act.Documented4/4

R3More than one governance frameworkThe product maps controls to additional frameworks such as ISO/IEC 42001 or NIST AI RMF.Documented4/4

R4Impact assessment workflowA documented impact or fundamental-rights assessment is available.Partially documented2/4

R5Responsibilities and stakeholdersThe workflow assigns or routes review across accountable functions or stakeholders.Partially documented2/4

CControls and workflow16 / 20

W1Structured intakeNew AI use cases enter through a documented request or intake workflow.Documented4/4

W2Approval gatesReviews or approvals can be required before deployment or material changes.Documented4/4

W3Role-based governanceThe product documents differentiated roles or access for governance work.Partially documented2/4

W4Human oversight recordedHuman oversight responsibilities or checkpoints can be documented in the workflow.Partially documented2/4

W5Policies become controlsPolicies or regulatory requirements map to trackable controls or actions.Documented4/4

EEvidence and records18 / 20

E1Technical evidence and documentationThe product records or manages technical documentation and supporting evidence.Documented4/4

E2System relationships and lineageLinks between systems, models, data, vendors or dependencies can be represented.Partially documented2/4

E3Traceable review historyActions, changes or reviews have a documented history or audit trail.Documented4/4

E4Governance reportingA governance report, factsheet or evidence export is documented.Documented4/4

E5Evidence tied to controlsEvidence, sign-offs or validation results can be attached to governance requirements.Documented4/4

LLifecycle assurance8 / 20

L1Post-deployment monitoringMonitoring continues after deployment, beyond a one-time approval.Documented4/4

L2Performance and responsible-AI testingTesting or monitoring includes quality, fairness, bias, robustness or drift.Not found in reviewed pages0/4

L3Incident or issue follow-upDetected issues can trigger a documented response, workflow or remediation.Partially documented2/4

L4Runtime controlsThe product documents guardrails or controls that can act during AI use.Not found in reviewed pages0/4

L5Periodic review and changeThe product documents reassessment, review intervals or lifecycle change handling.Partially documented2/4

Vendor pages reviewed

Open the full profile

Rank 07

ModelOp Center

76 / 100

Public evidence score

Enterprise AI system of record with intake, risk tiering, lifecycle tracking and evidence collection.

Official website ↗

2 criteria not found in reviewed pages · sources reviewed 13 November 2026

IInventory and scope18 / 20

I1Central AI system inventoryA searchable register of AI systems or use cases.Documented4/4

I2Third-party AI includedVendor, embedded or externally supplied AI can be recorded.Documented4/4

I3Discovery beyond manual entryA documented way to discover AI in the organisation or connect discovery sources.Partially documented2/4

I4Purpose and ownership recordedA use case can be tied to its purpose and accountable people or teams.Documented4/4

I5Generative AI and agents coveredThe published product scope explicitly includes generative AI, agents or both.Documented4/4

RRisk and regulation12 / 20

R1Risk assessment and classificationA documented workflow assesses or classifies AI use cases by risk.Documented4/4

R2EU AI Act mappingA product workflow, template or controls are expressly mapped to the EU AI Act.Partially documented2/4

R3More than one governance frameworkThe product maps controls to additional frameworks such as ISO/IEC 42001 or NIST AI RMF.Partially documented2/4

R4Impact assessment workflowA documented impact or fundamental-rights assessment is available.Not found in reviewed pages0/4

R5Responsibilities and stakeholdersThe workflow assigns or routes review across accountable functions or stakeholders.Documented4/4

CControls and workflow16 / 20

W1Structured intakeNew AI use cases enter through a documented request or intake workflow.Documented4/4

W2Approval gatesReviews or approvals can be required before deployment or material changes.Documented4/4

W3Role-based governanceThe product documents differentiated roles or access for governance work.Partially documented2/4

W4Human oversight recordedHuman oversight responsibilities or checkpoints can be documented in the workflow.Partially documented2/4

W5Policies become controlsPolicies or regulatory requirements map to trackable controls or actions.Documented4/4

EEvidence and records20 / 20

E1Technical evidence and documentationThe product records or manages technical documentation and supporting evidence.Documented4/4

E2System relationships and lineageLinks between systems, models, data, vendors or dependencies can be represented.Documented4/4

E3Traceable review historyActions, changes or reviews have a documented history or audit trail.Documented4/4

E4Governance reportingA governance report, factsheet or evidence export is documented.Documented4/4

E5Evidence tied to controlsEvidence, sign-offs or validation results can be attached to governance requirements.Documented4/4

LLifecycle assurance10 / 20

L1Post-deployment monitoringMonitoring continues after deployment, beyond a one-time approval.Partially documented2/4

L2Performance and responsible-AI testingTesting or monitoring includes quality, fairness, bias, robustness or drift.Partially documented2/4

L3Incident or issue follow-upDetected issues can trigger a documented response, workflow or remediation.Partially documented2/4

L4Runtime controlsThe product documents guardrails or controls that can act during AI use.Not found in reviewed pages0/4

L5Periodic review and changeThe product documents reassessment, review intervals or lifecycle change handling.Documented4/4

Vendor pages reviewed

Open the full profile

Rank 08

OneTrust AI Governance

74 / 100

Public evidence score

AI project and model inventories, risk assessments, impact assessment templates and configurable governance workflows.

Official website ↗

3 criteria not found in reviewed pages · sources reviewed 13 November 2026

IInventory and scope16 / 20

I1Central AI system inventoryA searchable register of AI systems or use cases.Documented4/4

I2Third-party AI includedVendor, embedded or externally supplied AI can be recorded.Documented4/4

I3Discovery beyond manual entryA documented way to discover AI in the organisation or connect discovery sources.Not found in reviewed pages0/4

I4Purpose and ownership recordedA use case can be tied to its purpose and accountable people or teams.Documented4/4

I5Generative AI and agents coveredThe published product scope explicitly includes generative AI, agents or both.Documented4/4

RRisk and regulation20 / 20

R1Risk assessment and classificationA documented workflow assesses or classifies AI use cases by risk.Documented4/4

R2EU AI Act mappingA product workflow, template or controls are expressly mapped to the EU AI Act.Documented4/4

R3More than one governance frameworkThe product maps controls to additional frameworks such as ISO/IEC 42001 or NIST AI RMF.Documented4/4

R4Impact assessment workflowA documented impact or fundamental-rights assessment is available.Documented4/4

R5Responsibilities and stakeholdersThe workflow assigns or routes review across accountable functions or stakeholders.Documented4/4

CControls and workflow16 / 20

W1Structured intakeNew AI use cases enter through a documented request or intake workflow.Documented4/4

W2Approval gatesReviews or approvals can be required before deployment or material changes.Documented4/4

W3Role-based governanceThe product documents differentiated roles or access for governance work.Partially documented2/4

W4Human oversight recordedHuman oversight responsibilities or checkpoints can be documented in the workflow.Partially documented2/4

W5Policies become controlsPolicies or regulatory requirements map to trackable controls or actions.Documented4/4

EEvidence and records14 / 20

E1Technical evidence and documentationThe product records or manages technical documentation and supporting evidence.Documented4/4

E2System relationships and lineageLinks between systems, models, data, vendors or dependencies can be represented.Documented4/4

E3Traceable review historyActions, changes or reviews have a documented history or audit trail.Partially documented2/4

E4Governance reportingA governance report, factsheet or evidence export is documented.Partially documented2/4

E5Evidence tied to controlsEvidence, sign-offs or validation results can be attached to governance requirements.Partially documented2/4

LLifecycle assurance8 / 20

L1Post-deployment monitoringMonitoring continues after deployment, beyond a one-time approval.Partially documented2/4

L2Performance and responsible-AI testingTesting or monitoring includes quality, fairness, bias, robustness or drift.Documented4/4

L3Incident or issue follow-upDetected issues can trigger a documented response, workflow or remediation.Not found in reviewed pages0/4

L4Runtime controlsThe product documents guardrails or controls that can act during AI use.Not found in reviewed pages0/4

L5Periodic review and changeThe product documents reassessment, review intervals or lifecycle change handling.Partially documented2/4

Vendor pages reviewed

Open the full profile

How this rating works

The score measures the coverage of a vendor’s public evidence against a common feature rubric. It does not certify that the product meets the AI Act or that a workflow works in practice.

4 points

The reviewed vendor pages clearly document the capability.

2 points

Public evidence describes a narrower or partial version of the criterion.

0 points

The vendor explicitly says it is absent, or no supporting evidence was found. “Not found” is flagged separately.

There are 25 criteria in five areas, each worth up to four points. Only public vendor product pages and documentation were reviewed. Sales demos, contracts and security packs were not examined. Features can vary by plan, region and configuration; confirm them with the vendor before procurement. No vendor pays for a listing or rating.

Regulatory context

Read the rubric Browse categories Suggest a correctionRubric reviewed 13 November 2026