AI Governance Platforms Reviews and Ratings

What are AI Governance Platforms?

Gartner defines AI governance platforms as tools designed to ensure organizations adhere to organization policy, regulations and industry standards across common responsible AI principles. These platforms allow leaders responsible for AI and other technical or business leaders to streamline governance processes organization wide and serve as a central repository for trust, risk and security controls. They also automate workflow approvals for new AI use cases, applications and to streamline governance processes organization wide. AI governance platforms support a wide range of AI techniques across built, blended, embedded and bring-your-own-AI applications.

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OneTrust enables the responsible use of data and AI. The OneTrust Platform simplifies the collection of data with consent and preferences, automates the governance of data with integrated risk management across privacy, security, IT/tech, third-party, and AI risk, and activates the responsible use of data by applying and enforcing data policies across the entire data estate and lifecycle.

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Airia is an enterprise AI orchestration platform that helps organizations securely build, deploy, and scale agentic AI workflows. The platform provides a unified environment for rapid agent prototyping, low-code and pro-code development, and seamless integration with enterprise systems. With more than 2,500 pre-built agent templates and a robust governance layer, Airia enables teams to operationalize AI safely, ensuring transparency, compliance, and policy enforcement across all deployments. Airia supports multi-LLM orchestration, bring-your-own-model flexibility, and advanced guardrails for auditability and cost control. Global enterprises use Airia to accelerate AI adoption, reduce integration friction, and deliver measurable business outcomes with secure, governed, and scalable AI agents.

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Cranium is an enterprise AI Governance and Security software firm, enabling organizations to gain visibility, security, and compliance across their AI and GenAI systems. Organizations can map, monitor, and manage their AI/ML environments against adversarial threats without interrupting how teams train, test, and deploy their AI models through its Cranium AI Governance platform. It also enables organizations to quickly gather and share information about the trustworthiness and compliance of their AI models with their third parties, customers, and regulators.

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Credo AI focuses on AI governance by providing a platform and advisory services that support organizations in managing and monitoring AI risk. The platform enables oversight across various AI use cases, models, datasets, agents, and vendors. Credo AI assists organizations in addressing challenges related to security, privacy, compliance, and operations, and facilitates alignment with global AI regulations and industry standards. The company’s offerings are designed to help organizations adopt and scale AI technologies while maintaining oversight and control over associated risks.

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Domino Data Lab empowers AI-driven enterprises to build and operate AI at scale. Domino’s Enterprise AI platform unifies flexibility with visibility and control, enabling a repeatable and agile ML lifecycle for responsible AI impact with cost control features. Global enterprises can develop medicines, grow crops, and create competitive products. Founded in 2013, Domino is backed by leading investor firms.

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FairNow provides an AI governance platform designed to help organizations address compliance requirements and manage risks associated with AI systems. The platform offers continuous monitoring of AI models to support adherence to regulatory standards and readiness for auditing processes. FairNow aims to facilitate the oversight of AI deployment and operation by offering tools that track model performance in relation to fairness and compliance. The company focuses on simplifying the regulatory and operational challenges faced by organizations when implementing AI technologies.

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IBM is a well-established entity focused on technology and development. The primary mission revolves around fostering technological growth and enhancing infrastructure, achieved through focused developments and consulting services. By encouraging inventiveness and innovation, it is geared towards facilitating the transition of theoretical ideas into practical realities, thus improving global functionalities. IBM brings about transformation by creating advanced solutions that reshape and redefine the world.

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LogicGate is a transformative risk management and compliance solution provider committed to helping customers turn risks into strategic advantages. Risk Cloud, its no-code governance, risk, and compliance (GRC) platform, enables proactive risk management and strategic decision making with automated GRC solutions in one integrated platform.

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ModelOp specializes in providing ModelOps software that allows enterprises to confront governance and scalability challenges that come with implementing enterprise Artificial Intelligence (AI) and Machine Learning (ML). Utilizing ModelOp Center, numerous global companies gain a holistic view of all their operational models across the organization. This includes their function status, compliance state, and contribution to Return on Investment (ROI). Model life cycles, from the start to the end, are fully automated.

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Monitaur develops a software platform focused on AI governance for organizations utilizing modeling systems. The platform addresses the need for responsible management of operational, regulatory, financial, and legal risks associated with increased use of big data and AI. Monitaur enables model risk management and governance by establishing systems for documentation and cross-functional stakeholder collaboration, supporting oversight throughout the lifecycle of AI deployment. The platform is designed to help organizations align internal processes and maintain compliance related to their modeling activities.

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Prodago is a company that offers a unified governance platform designed specifically to aid businesses in achieving their governance objectives. Focusing on data and AI projects, it consolidates all governance-related activities within a comprehensive knowledge base that includes elements such as quality, literacy, privacy, ethics, security, AI, and Cloud Computing. Moreover, it aids in the establishment of enterprise policies, addressing the organization's needs while also facilitating project-specific applications. In doing so, it fosters a multidisciplinary collaborative environment by providing clear accountability recommendations and action plans. Not just limited to policy formulation, Prodago provides a software-as-a-service solution for companies to adapt governance demands in accordance with their maturity, risk acceptance, and priorities. It also enables organizations to abide by relevant laws, regulations, standards, policies, and best practices in their specific context. Additionally, the company's solutions facilitate in harnessing supporting tools to achieve optimal governance at both, the enterprise and project levels.

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Relyance AI provides a platform that addresses visibility and control challenges in data security across modern cloud-native and AI-driven architectures. The platform maps data movement in real time from code development through cloud environments and AI models, allowing organizations to monitor and manage sensitive data flows. Relyance AI helps security teams identify potential threats, support secure AI development, and automate compliance processes related to privacy and governance. The solution aims to solve the problem of limited data flow visibility and control in complex digital environments.

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Saidot focuses on providing AI governance solutions for organizations seeking to integrate artificial intelligence into their operations. Saidot offers a SaaS platform that facilitates systematic management of AI systems, addressing challenges related to oversight, compliance, and risk mitigation in AI deployment. The company’s approach involves technical and policy expertise to support organizations in establishing governance structures for their use of AI technologies.

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Securiti is a technology enterprise that focuses on the development of the Data Command Center. This innovative platform concentrates on the secure utilization of data and GenAI across diverse multicloud systems, suggestive of hybrid environments. The platform's capabilities extend to coordinates data management, including data security, data privacy, data governance, and compliance. These wide-ranging functionalities position Securiti as a critical provider of technological solutions to large, globally-scaled enterprises seeking to optimize their data management strategies in a secure and efficient manner.

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ServiceNow is putting AI to work for people. We move with the pace of innovation to help customers transform organizations across every industry while upholding a trustworthy, human centered approach to deploying our products and services at scale. Our AI platform for business transformation connects people, processes, data, and devices to increase productivity and maximize business outcomes.

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Trustible focuses on helping organizations address the challenges associated with managing and mitigating risks in the development and deployment of artificial intelligence systems. The company provides tools and workflows designed to support more rigorous documentation and reporting in line with evolving regulatory requirements for AI products. Trustible aims to solve the problem of tracking and reducing potential harms related to AI technology, facilitating a transition from traditional software development approaches to a model that emphasizes risk management and compliance.

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Features of AI Governance Platforms

Updated November 2025

Mandatory Features:

  • Automated Policy Compliance and Enforcement at Runtime: Provides centralized, automated management and enforcement of AI-specific policies via multiple guardrails, including control validation for AI-specific risks (e.g., bias, data leakage, trust, privacy, security), access controls, use case alignment and other enterprise policies, remediation recommendations and compliance reporting.

  • Audit: Provides comprehensive audit trails of actions taken in the platform and, where applicable, automatically logs all activities related to the AI life cycle.

  • Interoperability: Enables different systems, devices, applications or agents to work together exchanging and utilizing information effectively. Integrations could include the D&A governance platform, model observability tools, AI discovery tools, AI cybersecurity platforms (e.g., red teaming, scanning for all entries, prompt-injection checks), and AI project and ROI management tools.

  • AI Inventory/Catalog: Provides a centralized, discoverable registry of all AI use cases and AI services like SaaS services with embedded AI that can support multiple use cases. These use cases include applications, agents and models within the organization, including version history, metadata (purpose, data sources, algorithms), documentation (e.g., model cards or systems cards), ownership, development stage and deployment status.

  • Workflow and Approvals: Enables the automation of routine governance tasks such as new AI use case model, application or agent approval by a governing body; risk and security assessments internal to the organization or with third parties; approvals; testing procedures; and documentation generation. Facilitates communication and coordinated action among diverse stakeholders. Includes structured signoff, attestation and approval requirements.

  • Data Usage Mapping: Captures data mapping used by various AI entities and tracks the usage and misuse over time. This may also include ability to track the provenance of training data and interface with data governance platforms to include data lineage, classification, ownership and data observability information. This feature can be captured via the AI governance platform directly or via interoperability with a D&A governance platform.

  • Evidence Collection: Provides documentation for trust, risk and security assessments, testing and validation results (such as security, bias detection, model), risk and compliance remediation evidence.

  • Risk Management and Regulations: Provides AI features and risk cataloging applied to AI applications, models or use cases. Frameworks to classify, assess and mitigate AI-specific risks (bias, fairness, robustness, etc.) including content libraries that address unique regulations for AI and privacy (e.g., EU AI Act, GDPR) frameworks (e.g., NIST AI RMF) and standards (e.g., ISO 42001) as well as organization acceptable use and responsible AI policies (also called AI ethics policies).

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