Top 10 AI Governance Solutions Compared
The definitive comparison of AI governance platforms for enterprises. Find the right solution for your organization's AI security, compliance, and risk management needs.
We analyzed features, pricing, compliance coverage, and real-world capabilities across the leading AI governance tools to help you make an informed decision.
Feature Comparison Matrix
Quick overview of key capabilities across all platforms.
| Platform | Shadow AI Detection | Real-time Monitoring | Policy Automation | ML Model Governance | Bias Detection | EU AI Act Compliance | Employee Usage Analytics | Data Lineage |
|---|---|---|---|---|---|---|---|---|
| ⭐ Aona AI | ||||||||
| OneTrust | ||||||||
| IBM watsonx.governance | ||||||||
| Securiti AI | ||||||||
| Credo AI | ||||||||
| Dataiku | ||||||||
| Collibra | ||||||||
| Holistic AI | ||||||||
| ModelOp | ||||||||
| TrustArc |
Detailed Reviews
In-depth analysis of each AI governance platform with features, pros, cons, and pricing.
Aona AI
EnterpriseComplete AI Security & Governance Platform
AI Security & GovernanceAona AI provides end-to-end visibility and control over AI tool usage across your organization. Purpose-built for Shadow AI discovery, real-time monitoring, policy enforcement, and compliance — Aona helps enterprises embrace AI safely without slowing innovation.
Best For
Organizations seeking complete Shadow AI visibility and AI governance automation
Key Features
OneTrust
EnterpriseTrust Intelligence Platform
GRC & Privacy PlatformOneTrust is a broad privacy, security, and governance platform that has expanded into AI governance. It offers AI risk assessments, model inventories, and regulatory compliance tools as part of its wider GRC suite.
Best For
Large enterprises already using OneTrust for privacy/GRC who want to add AI governance
Key Features
IBM watsonx.governance
EnterpriseAI Governance for the Enterprise
AI Lifecycle GovernanceIBM watsonx.governance (formerly OpenPages with Watson) provides AI lifecycle governance including model risk management, bias detection, explainability, and regulatory compliance for AI/ML models.
Best For
Enterprises with large ML/AI model portfolios needing model risk management
Key Features
Securiti AI
EnterpriseData Command Center with AI Governance
Data Intelligence & AI GovernanceSecuriti provides a unified data intelligence platform that includes AI governance capabilities. It focuses on data security posture management (DSPM) with AI-specific controls for data flows, consent, and compliance.
Best For
Organizations prioritizing data security posture management alongside AI governance
Key Features
Credo AI
EnterpriseAI Governance for Responsible AI
Responsible AI GovernanceCredo AI is a purpose-built AI governance platform focused on responsible AI. It provides policy management, risk assessments, compliance tracking, and AI registry capabilities aligned with frameworks like NIST AI RMF and the EU AI Act.
Best For
Organizations focused on responsible AI, ethics, and regulatory compliance for AI systems
Key Features
Dataiku
FreemiumEveryday AI Platform with Governance
AI/ML Platform with GovernanceDataiku is an end-to-end AI/ML platform that includes governance features like model monitoring, project tracking, and responsible AI tools. It's designed for data science teams building and deploying AI models.
Best For
Data science teams needing governance built into their AI development workflow
Key Features
Collibra
EnterpriseData Intelligence with AI Governance
Data & AI GovernanceCollibra is a data intelligence platform that has extended into AI governance with capabilities for AI model cataloging, lineage tracking, and policy management. It leverages its data governance heritage for AI oversight.
Best For
Organizations with mature data governance programs extending into AI governance
Key Features
Holistic AI
EnterpriseAI Risk Management & Compliance
AI Risk & ComplianceHolistic AI provides AI risk management, auditing, and compliance tools. It specializes in bias auditing, AI risk assessments, and helping organizations comply with AI regulations like the EU AI Act and NYC Local Law 144.
Best For
Organizations needing AI auditing, bias testing, and regulatory compliance assessments
Key Features
ModelOp
EnterpriseEnterprise AI Governance Hub
AI Model GovernanceModelOp provides an AI governance hub that helps enterprises manage AI models at scale. It focuses on model inventory, risk tiering, monitoring, and compliance reporting for organizations with large model portfolios.
Best For
Financial services and enterprises with large portfolios of AI/ML models to govern
Key Features
TrustArc
EnterprisePrivacy & AI Compliance Management
Privacy & AI ComplianceTrustArc is a privacy compliance platform that has expanded into AI governance. It offers AI impact assessments, data mapping for AI, and regulatory tracking to help organizations manage AI-related privacy and compliance risks.
Best For
Privacy teams extending their compliance programs to cover AI-specific risks
Key Features
Frequently Asked Questions
What is an AI governance platform?
An AI governance platform helps organizations manage, monitor, and control the use of AI systems and tools. It typically includes features like AI inventory management, risk assessment, policy enforcement, compliance tracking, and reporting to ensure AI is used safely, ethically, and in compliance with regulations.
What is Shadow AI and why does it matter?
Shadow AI refers to the unauthorized or unmonitored use of AI tools by employees without IT or security team approval. It's a growing concern because it can lead to data leaks, compliance violations, security breaches, and uncontrolled costs. Platforms like Aona specialize in detecting and managing Shadow AI.
How do I choose the right AI governance solution?
Consider your primary use case: Do you need to govern AI models you build (IBM, Dataiku, ModelOp), manage data privacy for AI (OneTrust, Securiti, TrustArc), ensure responsible AI compliance (Credo AI, Holistic AI), or discover and control employee AI tool usage and Shadow AI (Aona)? Also evaluate deployment complexity, pricing, compliance framework coverage, and integration with your existing security tools.
What compliance frameworks should AI governance tools support?
Key frameworks include the EU AI Act, NIST AI Risk Management Framework (AI RMF), ISO 42001, GDPR, SOC 2, HIPAA, and industry-specific regulations. Check our industry guides for sector-specific requirements.
Related Resources
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