One platform for AI governance, end-to-end.

Inventory AI systems, define risk metrics, run assessments, mitigate issues, and produce audit-ready evidence.

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HL risk trend

Track shifts in high-level risk over time to spot emerging exposure.

Assessment list

Sort and triage assessments by status, owner, and priority.

Attention required

Surface the metrics that breach thresholds or need review.

Owner & category

Assign accountability and EU AI Act category at a glance.

Evidence linked

Attach datasets, reports, and artifacts to each system.

Risk & status

See live risk posture and lifecycle status in one view.

Risk thresholds

Define pass/fail thresholds aligned to policy.

Linked techniques

Standardize mitigation with reusable playbooks.

Mapped metrics

Connect low-level tests to high-level risk categories.

From setup to scale, without friction.

A guided onboarding flow from inventory to compliance.

Registry setup

Import systems, owners, and use cases.

Metrics & Techniques

Select built-in or define your own.

Assess

Run tests, assess results, and evaluate risks.

Mitigate

Mitigate identified risks and track fixes.

Monitor

Review trends and attention items.

Policies & compliance

Link packs, generate evidence, export reports.

Registry of record

Track every AI system, owner, use case, and EU AI Act category in one catalog, with links to policy packs.

Owner, status, value, and category at a glance
Link models, datasets, and evidence
Track lifecycle changes over time

Define how risk is measured

Create custom metrics or link built-in definitions with thresholds and risk mapping.

Map tests to technical and business risk categories for clear traceability.
Define numeric or textual specifications depending on the metric type.
Set thresholds and interpretations for actionable results.

Define your metrics or use built‑in definitions based on the use case.

Set thresholds and predicates.
Link metrics to risk dimensions.

Equal Opportunity Difference

User

Threshold < 0.08

Statistical Parity

Built-in

Threshold < 0.10

Area Under the Curve

User

Threshold > 0.85

Accuracy

Built-in

Threshold > 0.92

Failure Rate

User

Threshold < 1.5%

Approval Rate Parity

User

Threshold < 0.05

Equal Opportunity Difference

User

Threshold < 0.08

Statistical Parity

Built-in

Threshold < 0.10

Area Under the Curve

User

Threshold > 0.85

Accuracy

Built-in

Threshold > 0.92

Failure Rate

User

Threshold < 1.5%

Approval Rate Parity

User

Threshold < 0.05

Test and assess risk continuously

Test and monitor AI system quality, stability, and risk over time.

Risk trend monitoring
Automated assessments and alerts
Evidence-ready assessment history

Assessment overview

Test results and risk signals across systems and time.

ModelAttributeMethodStatus

Input validationSanitizationCompleted

FairnessBias mitigationCancelled

RobustnessAdversarial trainingCancelled

Data accuracySampling validationPending

FairnessGroup parity tuningCompleted

Input validationSanitizationCompleted

FairnessBias mitigationCancelled

RobustnessAdversarial trainingCancelled

Data accuracySampling validationPending

FairnessGroup parity tuningCompleted

Turn findings into action

Apply mitigation techniques to reduce assessed risk and document every change.

Execution-ready remediation workflow
Traceable accountability and evidence
Transparent risk reduction over time
Built-in causal reasoning to understand which actions to take

Compliance packs at scale

Standard and custom policy packs translate regulations into actionable controls for every AI system.

Standard packs for regulatory alignment
Custom packs for internal governance
Rules mapped to controls and owners

Standard policy packs

Standard

Pre-built EU AI Act and ISO 42001 frameworks with coverage tracking.

Coverage statusOwners assignedEvidence ready

68%

Custom policy controls

Custom

Turn internal policies into actionable rules with status and accountability.

Model scope definedCompliant

Monitoring plan activeCompliant

Audit-ready evidence in minutes

Generate evidence, notes, and decisions as work happens.

Evidence uploadsNotes and commentsStatus workflow

EvidenceStatusDate

Dataset summary

Uploaded12 Jan

Risk report

Reviewed15 Jan

Policy mapping

Approved18 Jan

Decision log update

In review21 Jan

Vendor dossier

Uploaded22 Jan

Audit trail export

Exported24 Jan

Dataset summary

Uploaded12 Jan

Risk report

Reviewed15 Jan

Policy mapping

Approved18 Jan

Decision log update

In review21 Jan

Vendor dossier

Uploaded22 Jan

Audit trail export

Exported24 Jan

Integrate without disruption

Connect to existing workflows so governance runs alongside delivery, not against it.

Use current intake and review processes
Automate testing and evidence collection
Apply existing policies without rework

Integration flow

A lightweight layer on top of your current process.

Workflow mapping

Align governance steps to your existing review gates.

Automated tests

Trigger assessments from the tools teams already use.

Policy alignment

Map current policies to systems and risks.

Evidence collection

Collect outputs and decisions automatically.

Reporting

Generate audit-ready outputs with minimal overhead.

Deployment options

Choose the option that best fits your needs, from managed cloud to self-hosted control.

SaaS

Managed cloud

Fastest to value

We host and maintain the platform with continuous updates and operational support.

Quick rollout with minimal IT effort
Managed upgrades and security patches
High availability with built-in scaling

On-prem

Self-hosted

Maximum control

Deploy inside your infrastructure to keep data, models, and policies fully contained.

Full data residency and network isolation
Custom security policies
Smooth integration with internal tooling

One platform for AI governance, end-to-end.

From setup to scale, without friction.

Registry of record

Define how risk is measured

Test and assess risk continuously

Turn findings into action

Compliance packs at scale

Audit-ready evidence in minutes

Integrate without disruption

Deployment options

Measure AI risk. Prove compliance.