Aegis Oversight
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Aegis Oversight
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AI MODEL INVENTORY

See every AI model in your organization. Centralized registry with comprehensive metadata, compliance tracking, risk classification, and automated discovery.

100%
Model Visibility
Know every AI model in your organization
10x
Faster Discovery
Find models in seconds, not hours
Zero
Shadow AI
No more unknown or untracked models
Automatic
Sync & Updates
Real-time inventory maintenance
1

The Shadow AI Problem

Most organizations don't know how many AI models they have, where they're deployed, or which regulations apply.

Without Model Inventory
  • ×No central visibility into AI models
  • ×"Shadow AI" deployed without approval
  • ×Compliance blind spots and regulatory risk
  • ×Manual spreadsheets outdated immediately
  • ×Can't track model lifecycle or ownership
With AI Model Inventory
  • Complete visibility across all AI models
  • Automated discovery eliminates shadow AI
  • Track compliance status for every model
  • Real-time sync keeps inventory current
  • Full lifecycle and ownership tracking

How It Works

Create a comprehensive registry of all AI models with detailed metadata, compliance status, risk classification, and lifecycle tracking. Auto-discovery scans cloud platforms to detect models automatically, while advanced filtering lets you find exactly what you need in seconds.

Register: Add models manually or via auto-discovery
Document: Capture metadata and compliance details
Monitor: Track lifecycle and status changes
2

Model Inventory Workflow

From discovery to governance—a complete model lifecycle management process.

1

Register Models

Add models manually or auto-discover from cloud platforms

2

Document Details

Capture metadata, purpose, risk level, and compliance requirements

3

Track Lifecycle

Monitor status from development to production to deprecation

4

Monitor Compliance

Link to audits, tests, violations, and risk assessments

5

Generate Insights

View portfolio analytics, risk distribution, and compliance status

3

Comprehensive Features

Everything you need to manage and govern your AI model portfolio.

Centralized Model Registry
Single source of truth for all AI models across your organization—cloud, on-premise, third-party, or in-development.
Eliminate shadow AI and compliance blind spots
Comprehensive Metadata
Track model versions, training data, performance metrics, business purpose, risk level, and regulatory requirements.
Complete visibility into model characteristics
Lifecycle Management
Monitor models from development through deployment, production, and deprecation with full audit trail.
Understand model evolution and compliance history
Risk Classification
Automatically categorize models by risk level (low, medium, high, critical) based on regulatory frameworks and business impact.
Prioritize governance efforts on high-risk AI
Advanced Filtering & Search
Quickly find models by status, risk level, owner, deployment environment, compliance framework, or custom tags.
Instant access to the models that matter
Automated Discovery
Scan cloud environments and MLOps platforms to auto-detect deployed models and sync inventory in real-time.
Keep inventory current without manual updates
4

What You Can Track

Capture every detail about your AI models for complete governance visibility.

Model Documentation
  • Model name, version, and unique identifier
  • Business purpose and use case description
  • Model type (classification, regression, NLP, etc.)
  • Training data sources and characteristics
  • Performance metrics (accuracy, latency, throughput)
  • Deployment environment and integration details
  • Model artifacts and documentation links
Compliance Tracking
  • Applicable regulatory frameworks (GDPR, EU AI Act, etc.)
  • Compliance status and score
  • Last audit date and next review date
  • Identified violations and remediation plans
  • Risk assessment results
  • Fairness and bias test outcomes
Ownership & Collaboration
  • Assign model owners and responsible teams
  • Track who has access and permissions
  • Collaboration workspace integration
  • Notification and alert configuration
  • Change history and version control
Analytics & Reporting
  • Model portfolio dashboard
  • Risk distribution visualization
  • Compliance status overview
  • Deployment environment breakdown
  • Trend analysis and insights
  • Export capabilities for audits
5

Real Success Stories

See how organizations achieved complete AI visibility and eliminated shadow AI.

Financial Services

Challenge:

Bank had 200+ AI models across 15 departments—no central visibility, regulators demanded inventory

Solution:

Deployed AI Model Inventory with automated discovery across AWS SageMaker and Azure ML

Result:

Discovered 73 previously unknown models, achieved 100% inventory coverage, passed regulatory audit

Healthcare Technology

Challenge:

Multiple clinical AI models in production, no tracking of HIPAA compliance status or last audit dates

Solution:

Created model registry with compliance framework tracking and automated audit reminders

Result:

Reduced compliance preparation time from 4 weeks to 3 days, zero missed audit deadlines

E-Commerce Platform

Challenge:

Rapid AI experimentation created 'shadow models' in production—engineering didn't know what was deployed

Solution:

Implemented inventory with risk classification and mandatory registration for deployment

Result:

Eliminated shadow AI, classified all models by risk, reduced security incidents by 85%

Get Complete AI Model Visibility

Stop shadow AI. Start with a centralized model inventory that tracks every AI system, from development to production.