This article covers the top enterprise AI governance platforms for 2026. The platforms included in this article help enterprises to deploy AI in an ethical, compliant, and transparent manner. The EU AI Act and the NIST AI RMF offer enterprises regulatory frameworks to base their AI governance programs.
While implementing such frameworks, enterprises need to ensure that they design responsibility AI systems. Credo AI, EVE AI Core, and IBM Watsonx.Governance help enterprises accomplish the above objectives. The three platforms provide policy automation and orchestration, fairness auditing, and enable policy enforcement.
What Are AI Governance Platforms for Enterprises?
Enterprise AI Governance Platforms allow businesses to develop and deploy artificial intelligence responsibly. These platforms help organizations to align their AI systems and models to recognize and respond to requirements in the NIST AI RMF, the EU AI Act, and ISO 42001. Some of these platforms help customers build models that are aligned to requirements in the act and the standards.
Also, these platforms help customers build models that are explainable, ethical and trustworthy. These platforms also help customers respond to audits. To achieve trustworthy AI, these platforms help customers throughout the AI lifecycle to identify and manage AI risks. Examples of these platforms include Credo AI, EVE AI Core, and IBM Watson x. Governance.
Key Points
| Platform | Best For | Key Features |
|---|---|---|
| Credo AI | Enterprise compliance orchestration | AI registry, EU AI Act/NIST RMF mapping, automated evidence |
| EVE AI Core | Deterministic enforcement | Runtime blocking, cryptographic decision evidence |
| Holistic AI | Bias auditing & shadow AI discovery | Risk assessment, Guardian Agents, fairness checks |
| IBM watsonx.governance | IBM ecosystem enterprises | Integrated governance, monitoring, compliance workflows |
| Collibra AI Governance | Data governance foundations | AI asset registry, policy mapping, lifecycle integration |
| OneTrust AI Governance | Privacy-first enterprises | Consent workflows, vendor risk, AI compliance extension |
| Monitaur | Finance & insurance | Model risk management, lifecycle governance, advisory bundle |
| Arize AI | Observability & monitoring | LLM tracing, production observability, anomaly detection |
| Fiddler AI | Regulated ML teams | Model monitoring, fairness checks, audit-ready reporting |
| ServiceNow AI Control Tower | Enterprise workflow integration | AI governance embedded in enterprise IT workflows |
1. Credo AI
Credo AI was launched in 2020 in California. It is the first company to offer an AI governance platform for compliance framework orchestration. Credo AI’s AI governance platform automates compliance to various frameworks like the NIST AI RMF, EU AI Act, and ISO 42001.
Additional features of the platform include automated policy assertion, evidence, and audit documentation. Pricing information is only disclosed for larger enterprise contracts. According to a source, contracts typically start at $50,000 a year.
In addition to the core platform, Credo AI offers compliance dashboards and risk assessments for AI and integrated services to automate compliance. Credo AI has a strong client base made up of large companies in the Fortune 500.
Credo AI Features
- Computational maps for compliance with the EU AI Act, NIST RMF, and ISO 42001
- Corporate-wide AI registry
- Automated collection and documentation of audit evidence
- Policy and regulation-based risk assessment and automation
- Integration with company’s IT, cloud, and other infrastructure
| Pros | Cons |
|---|---|
| Strong compliance orchestration across EU AI Act, NIST RMF, ISO 42001 | High pricing starting around $50,000 annually |
| Centralized AI registry for enterprise models | Requires dedicated governance teams for full adoption |
| Audit‑ready evidence collection | Integration complexity for SMEs |
| Risk assessment dashboards | Focused more on compliance than runtime enforcement |
| Widely adopted by Fortune 500 enterprises | Vendor lock‑in risk with proprietary workflows |
2. EVE AI Core
EVE AI Core, launched in 2023, offers a deterministic enforcement solution for artificial intelligence (AI) governance. It provides runtime governance through AI policies and blocks risky and non-compliant outputs. It forms a cryptographic evidence base for each AI decision. It charges based on usage, with its enterprise solution starting at $60,000 per year.
The solution provides deterministic guardrails for AI within an organization and enhances compliance. It integrates with an organization’s work processes. EVE AI Core’s offerings are industry agnostic. However, it is highly sought after by companies in the financial services, health and care, and defense and aerospace industries.
This is largely because of the deterministic nature of these industries. In addition, EVE AI Core gives organizations peace of mind by protecting against regulatory and legal compliance breaches.
EVE AI Core Features
- Run-time enforcement of AI policies
- Cryptographic evidence for AI decisions
- Real-time blocking for unsafe and non-compliant output
- Integration with company’s workflow and other applications
- Insurance, health care, and defense industry-specific solutions
| Pros | Cons |
|---|---|
| Deterministic runtime enforcement | Pricing starts at $60,000 annually |
| Cryptographic evidence for AI decisions | Still relatively new (founded 2023) |
| Real‑time blocking of unsafe outputs | Limited ecosystem integrations compared to older platforms |
| Strong adoption in finance, healthcare, defense | Requires technical expertise for deployment |
| Unique focus on runtime compliance | May be overkill for non‑regulated industries |
3. Holistic AI
In 2021, Holistic AI launched in London to provide bias audit services and other AI risk management solutions. Holistic AI charges audit clients between $40,000 to $100,000 a year, and enterprise clients who purchase their AI governance solution subscriptions pay a higher, undisclosed price.
Holistic AI has gained clients in retail, financial services and human resources (i.e. AI decision making fairness) and other sectors. Holistic AI helps clients locate unregulated “shadow AI” to better manage their organization’s governance over “shadow AI”. Holistic AI is considered a leader in governance of ethical AI.
Holistic AI Features
- Tools to identify bias and promote fairness in AI
- Continuous monitoring Agents
- Compliance mapping and risk assessment
- Discovery of Shadow AI within an organization
- Consulting services
| Pros | Cons |
|---|---|
| Bias detection and fairness auditing | Pricing starts at $40,000 annually |
| Guardian Agents for continuous monitoring | Focused mainly on fairness, less on runtime enforcement |
| Risk scoring and compliance mapping | Limited enterprise IT integrations |
| Shadow AI discovery | Stronger in audits than in automation |
| Ethical AI consulting services | May require external advisory support |
4. IBM watsonx.governance
IBM’s watsonx.governance, released in 2023, provides governance workstreams within IBM’s business suite. It helps users with regulatory compliance and management of machine learning models. It also creates governing documents based on regulations.
It is priced at the enterprise level, usually sold with other IBM offerings, such as IBM Cloud and watsonx.ai. Prices start at about $70,000 per year.
It provides customers with a set of tools to manage regulatory compliance and create AI applications. watsonx.governance is targeted at enterprises that utilize numerous IBM applications and services.
It provides users with the ability to incorporate IBM’s artificial intelligence and data services to facilitate end-to-end governance.
IBM watsonx.governance Features
- End-to-end AI governance within the IBM cloud and Watson services
- Oversight and control for AI model lifecycles
- Regulatory compliance reporting
- Dashboards to track governance within the enterprise
| Pros | Cons |
|---|---|
| Seamless integration with IBM ecosystem | Pricing starts around $70,000 annually |
| Model lifecycle management | Best suited for IBM‑standardized enterprises |
| Automated documentation | Complex onboarding for non‑IBM users |
| Governance dashboards | Heavy enterprise IT footprint |
| Strong compliance workflows | Vendor lock‑in with IBM ecosystem |
5. Collibra AI Governance
Collibra is a Belgian company originally founded in 2008 in the data governance space. It later launched its AI governance solutions in 2024 with its AI Governance module.
Collibra draws on its background in data governance to provide offerings such as registry and policy frameworks for AI resources. It releases updates for its modules through a yearly subscription with prices beginning at $45,000.
Collibra recently has focused on providing solutions to govern AI resources within an organization, and as such, lags behind its competitor, Foreytific, in offerings governance in other domains such as ML operations.
Given Collibra’s existing customer base and focus on data governance solutions, it provides a pathway for customers to extend their governance practices and policies to the domain of artificial intelligence.
Collibra AI Governance Features
- AI asset registry
- Policy integration and mapping
- Compliance automation for AI and data
- Cataloging of AI models
- Unified Governance for the enterprise
| Pros | Cons |
|---|---|
| Built on strong data governance foundation | Pricing starts at $45,000 annually |
| AI asset registry | Limited runtime enforcement |
| Policy mapping and lifecycle integration | Best suited for existing Collibra users |
| Compliance workflows | May lack advanced fairness auditing |
| Unified governance across data & AI | Focused more on cataloging than enforcement |
6. OneTrust AI Governance
Launched in 2016 in Atlanta, OneTrust offers privacy and compliance solutions. It expanded to AI governance in 2025. OneTrust AI Governance is designed to serve privacy-first customers to manage vendor risk and compute compliance.
It also offers workflows to manage vendor and consumer consent. The privacy and governance suites include add-on modules. Pricing starts at $50,000. OneTrust also offers services to assess AI risk and comply with various regulations.
It serves banks, insurance companies, and other businesses in the retail and healthcare industry. OneTrust AI Governance extends OneTrust’s existing privacy suites to governance of AI. As such, it benefits customers already using OneTrust’s solutions.
OneTrust AI Governance Features
- End-to-end governance for AI and data with a focus on privacy
- Compliance reporting and mapping for AI risk assessments
- Vendor risk and compliance
- AI model catalog
| Pros | Cons |
|---|---|
| Privacy‑first governance workflows | Pricing starts at $50,000 annually |
| Consent management integration | Limited runtime enforcement |
| Vendor risk management | Stronger in privacy than AI lifecycle |
| AI risk assessments | May require OneTrust ecosystem adoption |
| Modular add‑ons for compliance | Focused more on privacy than observability |
7. Monitaur
Founded in 2019 in Boston, Monitaur built their platform for the finance and insurance sectors, most notably for model risk management. Monitaur offers services focused on governance throughout the lifecycle of an investment management firm.
Monitaur also provides advisory services. Their price point is an annual charge of $55,000 for services, with discounted rates for financial institutions.
Monitaur offers technology and services to assist their clients in the design and governance of AI and machine learning systems. Thus far, Monitaur has focused on the financial services and related sectors.
Monitaur Features
- Model risk management for regulated industries
- Lifecycle governance across AI deployments
- Audit‑ready reporting dashboards
- Advisory services for compliance design
- Tailored packages for finance and insurance
| Pros | Cons |
|---|---|
| Tailored for regulated industries | Pricing starts at $55,000 annually |
| Model risk management | Limited adoption outside finance/insurance |
| Lifecycle governance | Smaller ecosystem compared to IBM/ServiceNow |
| Audit‑ready reporting | Advisory services add extra cost |
| Compliance consulting | Focused mainly on regulated sectors |
8. Arize AI
Launched in California in 2020, Arize AI quickly evolved into an observability and governance platform in 2025. Arize AI offers customers LLM tracing and production observability. Additionally, the company offers its customers AI-based anomaly detection. Its annual subscription price starts at $40,000 and is based on usage.
Arize AI offers customers out-of-the-box solutions for monitoring, identifying compliance issues, and reporting. Arize AI is primarily used by large enterprises to gain observability over large scale AI and LLM based models.
Its ability to provide customers the means to monitor risks posed by organization-wide AI deployment in real time, has allowed the company to differentiate itself from its competitors. Furthermore, customers appreciate Arize AI’s strategy to integrate observability and governance.
Arize AI Features
- LLM tracing and observability tools
- Production monitoring dashboards
- Anomaly detection for AI models
- Compliance reporting integrated with observability
- Real‑time risk mitigation for large‑scale AI
| Pros | Cons |
|---|---|
| Strong LLM tracing and observability | Pricing starts at $40,000 annually |
| Real‑time anomaly detection | Focused more on monitoring than compliance orchestration |
| Production monitoring dashboards | Limited fairness auditing |
| Compliance reporting | Requires technical observability expertise |
| Popular for large‑scale AI deployments | May be complex for SMEs |
9. Fiddler AI
Launched in 2018, Fiddler AI provides enterprise AI governance and management solutions. Annual package prices start at $45,000. More expensive packages are charged based on a case-by-case basis. Fiddler AI offers solutions for model monitoring and bias in models and provides customers with dashboards to assist them in achieving regulatory compliance.
The solutions offered by Fiddler AI are predominantly utilized by ML teams in financial services, healthcare and human resources. Fairness checks and audit-readiness reporting assist enterprises to establish compliance with government regulators. Fiddler AI has gained industry recognition for its approach to integrating fairness and transparency in artificial intelligence and machine learning.
Fiddler AI Features
- Model monitoring with fairness checks
- Bias detection and transparency reporting
- Audit‑ready compliance dashboards
- Enterprise integrations for regulated ML teams
- Strong focus on fairness and accountability
| Pros | Cons |
|---|---|
| Strong fairness and bias detection | Pricing starts at $45,000 annually |
| Audit‑ready compliance dashboards | Limited runtime enforcement |
| Transparency reporting | Focused mainly on regulated ML teams |
| Enterprise integrations | Smaller ecosystem compared to IBM/ServiceNow |
| Accountability focus | May lack advanced observability features |
10. ServiceNow AI Control Tower
ServiceNow was launched in 2004 in Santa Clara, California. In 2025, ServiceNow launched AI Control Tower to offer the embedded AI governance in the company’s workflow products.
AI Control Tower offers monitoring and enforcing of access and usage policies in IT Services and integrates with ServiceNow’s ITSM offerings.
Pricing is enterprise level, generally sold with ServiceNow ITSM offerings, starting at $65,000. Other offerings include dashboards and workflows to integrate governance in various areas of a customer’s business.
ServiceNow AI Control Tower is best suited for customers with a standardized IT Services organization with ServiceNow. It excels at integration with IT Service offerings and weaving governance and compliance throughout an organization’s workflows.
ServiceNow AI Control Tower Features
- Embedded governance in enterprise IT workflows
- Compliance monitoring and policy enforcement
- Integration with ServiceNow ITSM platform
- Governance dashboards for enterprise oversight
- Workflow automation with compliance built‑in
| Pros | Cons |
|---|---|
| Embedded governance in IT workflows | Pricing starts at $65,000 annually |
| Seamless integration with ServiceNow ITSM | Best suited for ServiceNow enterprises |
| Compliance monitoring and enforcement | Vendor lock‑in with ServiceNow ecosystem |
| Governance dashboards | Heavy enterprise IT footprint |
| Workflow automation with compliance | Limited fairness auditing compared to Holistic AI |
Conclusion
The diversity of AI governance solutions in 2026 shows that enterprises are interested in solutions that ensure compliance and regulation of AI systems. For example, Credo AI and EVE AI Core help customers build and enforce compliant AI systems.
Holistic AI and IBM Watsonx.Governance help enterprises ensure fairness in their AI systems. Collibra AI Governance and OneTrust AI Governance enable customers to implement data, privacy, and now, AI governance solutions.
Monitaur, Arize AI, and Fiddler AI help companies in regulated fields and also offer AI system observability. Finally, ServiceNow helps customers, through its IT work management solutions, ensure the governance of AI systems built on their platform.
FAQ
What is AI governance?
AI governance refers to the frameworks, tools, and processes enterprises use to ensure AI systems are compliant, ethical, transparent, and aligned with regulations like the EU AI Act, NIST AI RMF, and ISO 42001.
Why do enterprises need AI governance platforms?
Enterprises need governance platforms to mitigate risks such as bias, privacy violations, regulatory fines, and reputational damage. Platforms like Credo AI and Holistic AI help automate compliance and fairness checks.
Which platform is best for compliance orchestration?
Credo AI is considered the leader in compliance orchestration, offering automated mapping to global frameworks and audit‑ready evidence collection.
Which platform enforces AI policies at runtime?
EVE AI Core specializes in deterministic runtime enforcement, blocking unsafe outputs before execution and providing cryptographic evidence of AI decisions.
Which platforms focus on fairness and bias detection?
Holistic AI and Fiddler AI are strong in bias auditing, fairness monitoring, and transparency reporting, making them ideal for HR, finance, and retail.
