## Inventory and understand all AI models and assets across the enterprise

- Automatically detect AI models, copilots, and third-party tools in use — sanctioned or not
- Maintain a centralized, continuously updated inventory of AI systems and associated data
- Track where models are deployed, what data they use, and how they’re being applied

## Manage access to AI data, pipelines, and models with precision

- Define and enforce role-based access to training data, prompts, outputs, and models
- Identify and mitigate over-permissioned users and shadow AI use
- Limit AI access to only approved, compliant, and purpose-aligned datasets

## Govern AI compliance, security, and risk across the full lifecycle

- Apply governance controls from data ingestion through model deployment and use
- Monitor for AI-specific risks: bias, data leakage, policy violations, and unauthorized use
- Automate compliance with global frameworks like NIST AI RMF, EU AI Act, and ISO 42001

### AI Asset Inventory

Automatically discover and catalog your AI models, training sets, datasets, copilots, and AI-driven applications across cloud, SaaS, and on-prem environments.

### Training Data Discovery and Classification

Identify and classify the sensitive, regulated, or critical data feeding into AI models – ensuring responsible AI from the ground up.

### AI Access Management

Control and monitor who can access models, training datasets, and AI pipelines. Enforce least privilege and zero trust across AI environments.

### Shadow AI Detection

Uncover unauthorized AI activity, rogue copilots, and hidden model deployments that could introduce risk or violate policies.

### AI Security and Privacy Governance

Govern AI-specific policies for privacy, data residency, security, and regulatory compliance—including emerging frameworks like the EU AI Act, NIST AI RMF, and ISO/IEC 42001.

### AI Risk Detection and Remediation

Surface exposures like overexposed training data, insecure access, or bias-prone datasets—and take action to remediate issues before they escalate.

### Lineage and Explainability

Track the origin, evolution, and usage of training data and models—supporting transparent, explainable AI practices for audits, compliance, and governance.

### Monitor and Remediate

Alert and take action on  access violations, shadow AI risks, policy breaches, and emerging threats to your AI environments.

## Turn AI Trust and Risk Management Into a Strategic Advantage.

Enable trusted, responsible, and resilient AI innovation with BigID's AI TRiSM.

[See it in Action](https://home.bigid.com/demo)