The Trust Infrastructure
for Enterprise AI™
Clariantix brings governance records, assessment-derived results, assurance workflows, and executive oversight together in one platform.
Clariantix connects these governance activities while identifying which operational capabilities require separately configured data sources or integrations.
One connected AI governance ecosystem
Six modules organize governance and assessment context while clearly identifying capabilities that require configured integrations.
The diagnostic at the center of the Clariantix ecosystem — connecting every module.
The governance foundation: policies, accountability, regulatory alignment, and organizational AI maturity.
Structures controls, responsibilities, and evidence for AI-related infrastructure exposure; technical scanning requires configured telemetry.
Provides incident governance and illustrates how connected operational signals could support oversight.
Records data-protection requirements and controls; blocking and enforcement depend on external controls.
Links registered vendor context and documents integration requirements for governance workflows.
Presents recorded governance and assessment-derived information for executive review.
From discovery to demonstrated trust
A continuous journey from understanding AI risk to governing it, improving it, and demonstrating trust.
- Step 1Discover
Understand AI governance, emerging obligations, organizational risk, and the Clariantix ecosystem.
Open1 - Step 2Assess
Measure AI readiness, governance maturity, risk, and trust through Clariantix Assessments.
Open2 - Step 3Understand
Turn assessment findings into executive intelligence, priorities, and a clear path forward.
Open3 - Step 4Govern & Protect
Establish policies, controls, accountability, oversight, and safeguards for responsible AI.
Open4 - Step 5Monitor
Review recorded changes and incidents, with operational signals available when integrations are configured.
Open5 - Step 6Improve
Prioritize remediation, close governance gaps, strengthen controls, and continuously improve.
Open6 - Step 7Lead
Give executives and boards the evidence and intelligence needed to govern AI confidently.
Open7 - Step 8Demonstrate Trust
Demonstrate accountable AI governance through evidence, validation, reporting, and the Clariantix Trust Mark™.
Open Continues8
AI trust is an operating discipline. Clariantix helps organizations repeat assessment, governance, review, improvement, and assurance activities as their AI program changes.
Continuous Enterprise AI Trust™
Continuous Enterprise AI Trust™ is a governance operating model: six repeatable functions for accountability, review, improvement, and leadership oversight.
Understand where AI exists, how it is governed, and what risks currently exist across the organization.
Transform technical findings into executive-level intelligence and actionable business decisions.
Reduce organizational exposure through stronger governance, security, and accountability controls.
Maintain visibility into evolving AI risks, vendor relationships, and governance maturity.
Prioritize remediation efforts using evidence-based recommendations and structured roadmaps.
Build stakeholder confidence by demonstrating responsible AI governance and executive accountability.
Every stakeholder. One source of trust.
From boardroom to operations floor — every leader gets the right view of AI trust.
Strategic risk visibility
Fiduciary oversight
Security & cyber risk
Privacy & data protection
Contracts, IP & liability
Regulatory readiness
Architecture & operations
Enterprise & model risk
One platform. One source of trust.
Every Clariantix deliverable in one connected ecosystem.
Comprehensive evaluation of organizational AI governance maturity.
Proprietary measurement of enterprise AI governance maturity.
Board-ready summary of AI governance posture and strategic priorities.
Concise governance overview designed for directors and oversight committees.
Structured inventory of identified AI risks and recommended actions.
Comparison of current controls against recognized frameworks.
Prioritized action plan for strengthening AI governance.
Public demonstration of organizational commitment to responsible AI governance.
Optional independent review by qualified professionals.