LucidTrust AI Model Inventory & Risk Software

One inventory for traditional models and modern AI.

One inventory for traditional models and modern AI.

One inventory for traditional models and modern AI.

Inventory traditional models and foundation models in one place. Track ownership, risk, documentation, assessments, KPIs, and governance activities while supporting evolving regulatory expectations, including SR 26-2.

Inventory traditional models and foundation models in one place. Track ownership, risk, documentation, assessments, KPIs, and governance activities while supporting evolving regulatory expectations, including SR 26-2.

Inventory traditional models and foundation models in one place. Track ownership, risk, documentation, assessments, KPIs, and governance activities while supporting evolving regulatory expectations, including SR 26-2.

ai model inventory

Centralize your model inventory.

Centralize your model inventory.

Centralize your model inventory.

LucidTrust helps organizations track internal models, third-party models, embedded vendor models, open-source models, and AI services in one governance context.


Each model record can connect technical details to business use, ownership, vendor dependency, risk attributes, review status, validation activity, monitoring requirements, and audit evidence. This gives teams a practical way to manage model oversight as part of the broader AI governance program.

Model inventory

Maintain structured records for internal models, third-party models, vendor models, AI services, and embedded model capabilities.

Ownership and purpose

Capture business owner, technical owner, intended use, affected workflow, user population, and business criticality.

Risk attributes

Document data inputs, output type, automation level, customer impact, explainability needs, jurisdiction, and risk tier.

Validation and review status

Track model review, validation, approval status, limitations, conditions, exceptions, and reassessment requirements.

Vendor and dependency context

Connect models to vendors, systems, use cases, agents, policies, and downstream workflows.

Monitoring requirements

Define the controls and review cadence required for model changes, performance concerns, drift signals, vendor updates, and expanded usage.

Evidence trail

Preserve decisions, approvals, validation records, monitoring actions, exceptions, and review history.

Bring model risk into the broader governance program.

Bring model risk into the broader governance program.

Bring model risk into the broader governance program.

Track internal, vendor, and embedded models alongside use cases, ownership, dependencies, controls, monitoring requirements, and evidence.

1

Create a complete view of model exposure.

See internal, third-party, and embedded models in one governance context.

2

Connect technical records to business risk.

Understand not just what the model is, but where it is used, what it affects, and what oversight it requires.

3

Coordinate reviews across teams.

Bring model risk, compliance, legal, security, privacy, data science, vendor risk, and business owners into a consistent process.

4

Produce defensible evidence.

Show how models are inventoried, reviewed, approved, monitored, and reassessed over time.

Ready to Govern AI with Confidence?

See how LucidTrust helps regulated institutions build defensible, audit-ready AI governance programs.

Ready to Govern AI with Confidence?

See how LucidTrust helps regulated institutions build defensible, audit-ready AI governance programs.

Ready to Govern AI with Confidence?

See how LucidTrust helps regulated institutions build defensible, audit-ready AI governance programs.

Explore all LucidTrust AI Governance platform features.

Explore all LucidTrust AI Governance platform features.

Explore all LucidTrust AI Governance platform features.

AI Inventory & Discovery

Find and track AI systems, vendors, models, agents, use cases, owners, and risk attributes.

Explore AI Inventory & Discovery

AI Vendor Monitoring

Monitor vendor AI changes, including new features, model updates, policy shifts, and risk signals.

Explore AI Vendor Monitoring

AI Vendor Due Diligence

Assess AI vendors with instant AI discovery, risk, privacy, security, and governance context.

Explore AI Vendor Due Diligence

AI Use Case Governance

Review, approve, monitor, and document AI use cases with consistent risk-based oversight.

Explore AI Use Case Governance

AI Agent Governance

Govern AI agents by tracking permissions, actions, data access, controls, and human oversight.

Explore AI Agent Governance

Model Inventory & Risk

Manage model records, ownership, risk attributes, validation status, monitoring, and evidence.

Explore Model Inventory & Risk

AI Governance Workflows

Route AI intake, reviews, approvals, exceptions, reassessments, and follow-up across teams.

Explore AI Governance Workflows

Audit-Ready Reporting

Generate evidence showing what exists, what changed, who reviewed it, and what actions followed.

Explore Audit-Ready Reporting

Integrations

Connect AI governance to vendor, identity, workflow, documentation, GRC, and security systems.

Explore Integrations

AI Inventory & Discovery

Find and track AI systems, vendors, models, agents, use cases, owners, and risk attributes.

Explore AI Inventory & Discovery

AI Vendor Monitoring

Monitor vendor AI changes, including new features, model updates, policy shifts, and risk signals.

Explore AI Vendor Monitoring

AI Vendor Due Diligence

Assess AI vendors with instant AI discovery, risk, privacy, security, and governance context.

Explore AI Vendor Due Diligence

AI Use Case Governance

Review, approve, monitor, and document AI use cases with consistent risk-based oversight.

Explore AI Use Case Governance

AI Agent Governance

Govern AI agents by tracking permissions, actions, data access, controls, and human oversight.

Explore AI Agent Governance

Model Inventory & Risk

Manage model records, ownership, risk attributes, validation status, monitoring, and evidence.

Explore Model Inventory & Risk

AI Governance Workflows

Route AI intake, reviews, approvals, exceptions, reassessments, and follow-up across teams.

Explore AI Governance Workflows

Audit-Ready Reporting

Generate evidence showing what exists, what changed, who reviewed it, and what actions followed.

Explore Audit-Ready Reporting

Integrations

Connect AI governance to vendor, identity, workflow, documentation, GRC, and security systems.

Explore Integrations

AI Inventory & Discovery

Find and track AI systems, vendors, models, agents, use cases, owners, and risk attributes.

Explore AI Inventory & Discovery

AI Vendor Monitoring

Monitor vendor AI changes, including new features, model updates, policy shifts, and risk signals.

Explore AI Vendor Monitoring

AI Vendor Due Diligence

Assess AI vendors with instant AI discovery, risk, privacy, security, and governance context.

Explore AI Vendor Due Diligence

AI Use Case Governance

Review, approve, monitor, and document AI use cases with consistent risk-based oversight.

Explore AI Use Case Governance

AI Agent Governance

Govern AI agents by tracking permissions, actions, data access, controls, and human oversight.

Explore AI Agent Governance

Model Inventory & Risk

Manage model records, ownership, risk attributes, validation status, monitoring, and evidence.

Explore Model Inventory & Risk

AI Governance Workflows

Route AI intake, reviews, approvals, exceptions, reassessments, and follow-up across teams.

Explore AI Governance Workflows

Audit-Ready Reporting

Generate evidence showing what exists, what changed, who reviewed it, and what actions followed.

Explore Audit-Ready Reporting

Integrations

Connect AI governance to vendor, identity, workflow, documentation, GRC, and security systems.

Explore Integrations