AI Governance and Risk Management Platforms Comparison 2026: Credo AI, Holistic AI, OneTrust AI Governance and 7 More (Pricing & Free Plans)

Choosing an AI governance and risk management platform is harder than choosing most business software. The tools overlap in name but differ in focus. Some centralize AI inventories and policy work, while others test models, watch AI agents in production, or run inside your own infrastructure. Pricing is often hidden behind a demo request, and Japanese-language support is limited.

This article compares 10 platforms: Credo AI, Holistic AI, OneTrust AI Governance, IBM watsonx.governance, ModelOp, Monitaur, Trustible, Saidot, Collibra AI Command Center, and Arthur. For each one, we look at pricing, free plans or trials, Japanese support, supported platforms, strengths, and weaknesses. We compared them using each vendor's official website, checked in November 2026.

After the tool-by-tool sections, you will find picks by goal and practical tips for choosing without regrets. Where a vendor does not publish a detail, we say so instead of guessing. Check the official website for the latest pricing and features before you decide.

What Are AI Governance and Risk Management Platforms? What They Do and What to Know Before Choosing

AI governance and risk management platforms help a company keep track of the AI it builds and buys, and control how that AI is used. They combine record-keeping, risk assessment, policy enforcement, and in some cases live monitoring. The goal is to give governance, legal, security, and development teams one shared view of AI.

Based on the features in the tools covered here, typical uses include the following:

• AI inventory: register use cases, models, agents, datasets, and vendors in one place. Some tools, such as Holistic AI and Arthur, also look for unregistered "shadow AI."
• Risk assessment: score and classify AI use cases, using templates or risk libraries tied to frameworks like the EU AI Act, NIST AI RMF, and ISO 42001.
• Policy and approval workflows: route intake requests, approvals, and sign-offs, and generate audit evidence.
• Testing and validation: run automated tests, red teaming, or outside-in checks before AI goes live.
• Runtime monitoring and guardrails: watch production AI for issues such as drift, data leakage, or prompt injection, and block or flag risky behavior.
• Cost and usage tracking: some tools, such as ModelOp and Arthur, show token usage and spending.

Before choosing, check what a free plan or trial covers. Among these tools, Arthur publishes a Free plan, and IBM watsonx.governance mentions a 14-day trial on its Japanese pricing page. Saidot mentions a free trial without stating terms. Most others require a demo request to get a quote.

Next, check language and regional support. Only IBM watsonx.governance has Japanese product and pricing pages. Most others are English only or not confirmed. Also look at the delivery model: most are web-based SaaS, while ModelOp is deployed on-premises, in a private cloud, or in a hybrid setup.

Finally, compare the pricing model and the scale it assumes. Prices range from monthly plans to usage-based or configuration-based rates to custom quotes. Small teams and large enterprises will weigh these differently.

Comparison Table of Top 10 Tools (Pricing, Japanese Support, Platforms)

Tool	Main plans	Japanese support	Platforms
Credo AI	Contact sales	Not stated	Web (SaaS), API, Python SDK, TypeScript SDK
Holistic AI	Contact sales	Not stated	Web (SaaS), API, webhook, and MCP integration, HAI Guardian SDK, EndLayer (agent for macOS, Windows, and Linux) and more
OneTrust AI Governance	Contact sales	Not stated	Web (SaaS), API, Python SDK (AI Guard SDK), MCP Gateway (private preview)
IBM watsonx.governance	Free trial / Model management from $0.64 / Risk and compliance – Basic from $3,500/month	Supported	Web (SaaS: IBM Cloud), Web (SaaS: AWS), Software version (own environment), API
ModelOp	Contact sales	Not confirmed	On-premises, Private cloud, Hybrid, REST API
Monitaur	Contact sales	Not confirmed	Web (SaaS), API, Client library
Trustible	Contact sales	Not confirmed	Web (SaaS)
Saidot	Free trial mentioned / Saidot Library €1,400/month	Not confirmed	Web (SaaS), REST API, Webhook, MCP servers (Docs, Library, Governance)
Collibra AI Command Center	Contact sales	Not supported	Web (SaaS), API, CLI, MCP server
Arthur	Free $0/month / Premium $60/month	Unconfirmed	Web (SaaS), Dedicated and managed VPC (Enterprise), SDK and API, Open source (Arthur Evals Engine and Deckard)

AIpedia has not rated these tools, because they do not have their own pages on AIpedia yet. Pricing and plans change; we checked each vendor's official website in November 2026. Check the latest information on the official website before you sign up.

Features, Pricing, and Best For: 10 Tools

1. Credo AI

Credo AI is an AI governance platform for inventorying the AI a company uses and develops, assessing its risks, and managing it under internal policies and regulatory requirements. It is built around a governance knowledge graph that links regulatory information to a company's own business context. AI models, applications, AI agents, and AI vendors can be managed in the same system.

• Strengths: Regulatory policy packs and a risk and control library come built in. The packs cover the EU AI Act, NIST AI RMF, ISO 42001, and SOC 2, and are linked to workflows with approval gates and automatic generation of audit evidence.
• Strengths: GAIA, the Govern AI Assistant, has been generally available since May 13, 2026. It suggests registration details, drafts questionnaire answers, and recommends risk scenarios and controls. Each suggestion can be edited, rejected, or approved one by one, so a person makes the final decision.
• Strengths: The AI Registry treats AI agents as separately managed assets, and Shadow AI Discovery detects undeclared AI. Python and TypeScript SDKs and cookbooks for Jira, ServiceNow, and Splunk are published, which helps with building governance into existing workflows.
• Things to note: Pricing is not public, and no free plan or free trial is mentioned. You need a demo or expert consultation to get a quote.
• Things to note: The official website and SDK documentation are in English only. No Japanese UI or support for Japan's AI Guidelines for Business was found. Agent Governor, which controls agents at runtime, is a research preview with no production SLA, and it currently supports only Claude Code.

Pricing: Contact sales. No pricing is published on the official website, and /pricing returns a 404. Custom quotes are available through Request demo or Talk to an Expert. No free plan or free trial is mentioned. Credo AI Advisory Services are also available to support deployment and operation.

Best for: Companies that want a dedicated AI governance tool with ready-made regulatory policy packs, especially those working under the EU AI Act, NIST AI RMF, or ISO 42001. It is a weaker fit if you need Japanese-language screens or Japan-specific guideline support.

2. Holistic AI

Holistic AI is an AI governance platform that discovers and inventories AI systems inside a company, assesses risk through testing, and automates management in line with regulations and policies. It is organized into three modules: Identify, Protect, and Enforce. The official website presents a case in which Unilever used it to manage more than 200 AI use cases.

• Strengths: It covers AI discovery, testing, and mapping to regulatory frameworks on one platform. Framework assessments map controls to the EU AI Act, NIST AI RMF, ISO 42001, and NYC LL144, with approval workflows and audit trails.
• Strengths: More than 40 automated tests and agentic red teaming let teams technically check the risks of models and agents. Guardian Agents add runtime supervision: Sentinel Agents monitor for issues such as prompt injection and data leakage, and Operative Agents control tool calls, access, and cost.
• Strengths: EndLayer identifies AI apps, coding agents, local models, and MCP servers on employee devices. Platform-side integrations are described as read-only and agentless, so deployment needs few changes to your environment. The open-source holisticai library can be tried for free.
• Things to note: Pricing is not public, and quotes come through a demo request.
• Things to note: The website and documentation are in English only. Data is stored in the UK by default, or in the US for US customers, and no Japan region, Japanese UI, or support for Japanese guidelines is mentioned.

Pricing: Contact sales. No pricing is published on the official website, and /pricing returns a 404. You consult via Book a demo. The open-source Python library holisticai (Apache-2.0, bias measurement and mitigation) is free to use.

Best for: Teams that want to test models and agents technically, not just document them, and that also need to find shadow AI at the device level. Japanese companies should confirm data storage location and language support first.

3. OneTrust AI Governance

OneTrust AI Governance is the AI governance product from OneTrust, which also offers privacy management, consent management, and third-party risk management. It continuously discovers and inventories AI systems, models, agents, datasets, and vendors, and assesses risk using EU AI Act, NIST AI RMF, and ISO 42001 templates. Companies that already manage privacy operations in OneTrust can extend the same foundation to AI.

• Strengths: AI governance can run on the same platform as privacy, consent management, and third-party risk management. According to the official pricing page, more than 14,000 companies use OneTrust.
• Strengths: It covers runtime control as well as document management. It connects out of the box to Amazon Bedrock, Microsoft Foundry, Google Vertex, and Databricks Unity Catalog. Guardrail Enforcement can block, allow, mask, or escalate prompts and outputs based on policies set in AI Policy Manager.
• Strengths: The Python AI Guard SDK detects sensitive data in prompts and responses and blocks or masks it before it reaches the model. The pricing page also states the billing basis: the number of admin users and the size of the AI inventory.
• Things to note: Amounts are not public, so a quote is required. The scope of runtime monitoring and control differs by connected platform, and the official FAQ explains that what is provided differs between Bedrock and Foundry. Some new features, such as the MCP Gateway and AI-Driven Assessments, are in private preview.
• Things to note: The official website has no Japanese version, and Japanese support in the product UI could not be confirmed. The language switcher offers English, German, Spanish, French, Italian, and Portuguese.

Pricing: Contact sales. The official pricing page gives quotes via "Get Pricing" and lists no amounts. AI Governance is described as priced based on the number of admin users and the size of the AI inventory.

Best for: Organizations already using OneTrust for privacy or third-party risk that want to add AI governance, including runtime guardrails, on a familiar foundation. Confirm product UI language support before deployment.

4. IBM watsonx.governance

IBM watsonx.governance is an AI governance product for managing a company's use of AI across the full lifecycle. It handles AI use case intake, risk assessment, checking regulatory compliance status, and model evaluation and production monitoring in one place. The Japanese product page presents a case in which the NTT DATA Group strengthened its risk management framework for AI development projects.

• Strengths: The pricing page shows reference prices, which makes it easier to compare the Basic, Advanced, and AWS configurations. You can choose SaaS (IBM Cloud or AWS) or software, including operation in your own environment.
• Strengths: Japanese product and pricing pages exist, and a domestic case study is featured. According to the official page, it was named a Leader in Gartner's 2026 Magic Quadrant for AI governance platforms.
• Strengths: Features include a built-in AI assistant for registering use cases, shadow AI detection, and a governance graph of AI systems, risks, and policies. On the model side, it offers evaluation and monitoring, explanations, and bias detection and mitigation.
• Things to note: Prices are reference values in USD that vary by country and configuration and exclude tax. Model management is billed per resource unit on a usage basis, and the IBM Cloud catalog says it requires a separately paid database.
• Things to note: Risk and compliance plans are offered only in Dallas, Frankfurt, and Sydney, not in the Tokyo region. The English and Japanese pricing pages also differ in their mention of the free trial, and Japanese display in the product UI could not be confirmed.

Pricing: Reference prices as of November 7, 2026. Free trial: 14 days in a shared environment on the Japanese pricing page; the English page lists none. Model management is from $0.64 (IBM Cloud, usage-based, per resource unit). Risk and compliance Basic is from $3,500/month, and Advanced is from $6,450/month. The AWS version is from $42,000 (1 basic instance, 5 AI use cases, 12,000 evaluations, 25 concurrent users; billing period not stated). The software version is priced by the number of virtual processor cores, with no amount listed.

Best for: Companies that want published reference prices, Japanese-language product pages, and a choice between SaaS and self-managed software. If data location matters, check which features are offered in which regions.

5. ModelOp

ModelOp is AI governance and AI lifecycle management software built around its Enterprise AI Command Center. It manages ML models, generative AI, AI agents, and third-party vendors' AI in a single system of record. It automates workflows from intake through production operation to measuring impact, and the official website introduces work with Prudential and Manulife.

• Strengths: It can be deployed on-premises, in a private cloud, or in a hybrid setup, and it references data in place without copying it. This allows operation without sending data outside, and you decide where data is stored.
• Strengths: It is designed to sit on top of existing tools such as model registries, GRC, ITSM, and AI gateways, rather than replace them. It syncs with registries including MLflow, Bedrock, SageMaker, Azure ML, and Vertex AI. Seats are said to be unlimited, which helps many departments take part.
• Strengths: The AI Delivery Engine (MADE) uses workflow-directed agents for intake, assessments, documentation, testing, and report creation. AI FinOps shows token usage and cost by team, business unit, and use case. According to the official website, it was named a Visionary in Gartner's 2026 Magic Quadrant for AI Governance Platforms.
• Things to note: It is not a public SaaS, so deployment and operation require your own infrastructure and team. Pricing is not public, and quotes come through a demo.
• Things to note: The website and documentation are in English only. No Japanese UI or support for Japanese regulations is stated.

Pricing: Contact sales. No pricing is listed on the official website, and /pricing returns a 404. Inquire via Request a Demo. According to the official website, the number of seats is unlimited.

Best for: Large organizations with an in-house infrastructure team that want to keep AI governance data in their own environment and connect it to existing registries and gateways. It is less suited to teams looking for a quick, self-serve SaaS start.

6. Monitaur

Monitaur is an AI governance platform for companies that use AI in regulated industries such as insurance and finance. It has three parts: Define for governance policies and structure, Manage for inventory and controls, and Automate for model validation. The official website introduces a case in which a Fortune 200 insurer got its governance program running in 90 days.

• Strengths: It is designed around insurance industry model risk management, which makes it easier to fit regulatory compliance practice. Explanations assume U.S. frameworks such as the NAIC model bulletin and NIST AI RMF.
• Strengths: FlightSim is a black-box "AI pen test" that checks AI from the outside using real data and synthetic scenarios. It needs no source code or model weights, so it can also be used for third-party vendors' AI. It rates reliability, security, bias, explainability, and performance, and recommends whether to go to production.
• Strengths: Automate Record logs production decisions and validates drift and bias automatically. According to the official website, it documents evidence for about 40% of required governance controls. Expert support, such as policy templates, workshops, and training, comes with the software.
• Things to note: Pricing is not public. Public information centers on the insurance industry, so it is hard to see specific ways to use it in other industries.
• Things to note: The website is in English only, and there is no mention of Japanese-language support or support for Japanese regulations.

Pricing: Contact sales. No pricing is listed on the official website, and /pricing returns a 404. Inquire via Contact Us or Get an assessment.

Best for: Insurers and other regulated companies that want governance policy design, outside-in AI testing, and automatic evidence collection together. It is a weaker fit if you need Japanese support or a documented use case outside insurance.

7. Trustible

Trustible is an AI governance platform that handles AI intake, risk management, monitoring, and regulatory compliance in a single system. The official website says it was designed for AI use cases, models, agents, and vendors rather than being a repurposed general-purpose GRC tool. It introduces case studies from Leidos and Nuix.

• Strengths: Review depth follows risk. Intake scores each use case across five areas (performance, data privacy, cybersecurity, ethics, and legal) and routes it to auto-approve, standard, or detailed review, so low-risk AI can be approved quickly.
• Strengths: Expert-updated risk cards covering 40+ areas and framework mappings are included from the start. Supported frameworks include the EU AI Act, NIST AI RMF, ISO 42001, U.S. state laws, and frameworks from Singapore and Australia.
• Strengths: Agent Scanner connects read-only to platforms such as Amazon Bedrock AgentCore and Microsoft Copilot Studio, discovers agents, and uses AI to assess their risk. A team of experts also helps validate workflows and design your operating model.
• Things to note: Pricing is not public. The only delivery model confirmed on public pages is SaaS, and no public API or SDK documentation could be found.
• Things to note: The website is in English only. Japan is not mentioned among the supported frameworks, so Japanese companies need to check how Japanese regulations would be handled.

Pricing: Contact sales. No pricing is listed on the official website, and /pricing/ returns a 404. Inquire via Request a demo.

Best for: Organizations that expect many AI requests and want risk-based routing so only higher-risk items get detailed review. It also suits teams that want hands-on expert help, especially those working under U.S. state laws, the EU AI Act, or insurance and healthcare standards.

8. Saidot

Saidot is an AI governance platform from Saidot Ltd., headquartered in Helsinki, Finland. It manages the relationships among AI agents, systems, models, and datasets as a graph, with the goal of giving every agent an owner, permissions, and records. The official website says it is used by European banks, pharmaceutical companies, and government agencies.

• Strengths: Monthly pricing in EUR and cancellation terms are published on the pricing page. You can cancel anytime before the next payment.
• Strengths: Saidot Graph automatically passes risks and controls from models and datasets to the agents and systems that use them. This lets you reuse assessments across several AI systems that share a model. Saidot Library holds 260+ risks, 620+ controls, and 110+ policies, updated by governance experts.
• Strengths: Three MCP servers (Docs, Library, and Governance) let AI assistants such as Claude Code and GitHub Copilot in VS Code register agents and draft risk assessments. Administrators can control connected apps. According to the official website, 95% of the platform can be operated via the API. It is ISO/IEC 27001:2022 certified.
• Things to note: Prices are in EUR with VAT added depending on location. Once registered AI systems exceed 30, a higher tier is needed.
• Things to note: The website and help center are in English only, with no mention of a Japanese UI or Japanese regulations. Data is processed in the EU (Ireland and Germany), and there is no Japan region.

Pricing: Saidot Library is €1,400/month (policies, standards, and laws; risks and controls; model cards and product cards). Saidot Platform – Enterprise is €3,100/month and includes the library, an inventory of up to 30 AI systems, risk and compliance management, workflow automation, and the API and MCP servers. Both are monthly subscriptions with VAT added depending on the company's location. A free trial is mentioned, with no terms stated. It is also available on Microsoft Azure Marketplace.

Best for: Teams that want clear monthly pricing and want to run governance work through AI assistants and APIs. European data processing may suit EU-based buyers, while Japanese companies should check language and regional fit.

9. Collibra AI Command Center

Collibra AI Command Center is an AI governance product from Collibra, known for its data governance products. It was announced on May 6, 2026, and the product page still carries the older Collibra AI Governance name. It manages AI use cases, models, and agents in a single registry and oversees running AI with Guardian Agents, agent contracts, and the AI Trust Score.

• Strengths: It is built on a data catalog and data lineage foundation, so AI can be managed together with the data used for training and inference. AI from multiple clouds and ML platforms, including AWS, Azure, Databricks, Google Vertex AI, MLflow, and SAP AI Core, can be consolidated into one registry.
• Strengths: Runtime control for agents is expanding. Guardian Agents continuously oversee agent behavior and intervene when boundaries are crossed. Agent contracts turn internal policies into machine-readable controls applied to all agents.
• Strengths: The AI Trust Score aggregates documentation status, data health, lifecycle, and regulatory signals into one number per system. A CLI registers AI use cases from code, and an MCP Server passes governed metadata to agents. The company announced the acquisition of Trail ML on October 5, 2026, to add automation agents.
• Things to note: Pricing is not public. The product name is moving from AI Governance to AI Command Center, so names differ across materials.
• Things to note: According to the official documentation, display languages are English (US), French, German, Spanish, and Dutch (preview). Japanese is not supported, and Japanese regulations are not mentioned.

Pricing: Contact sales. There is no pricing page on the official website, and /pricing returns a 404. Inquire via Request a demo.

Best for: Companies that already use or plan to use Collibra for data governance and want to manage AI together with data lineage. It is not suited to teams that need a Japanese display language.

10. Arthur

Arthur is an AI governance platform that finds AI agents running in a company, observes and evaluates their behavior, and governs them based on policies. The official website promotes an "AI control plane" shared by security, governance and audit, and AI development teams. Its pricing page publishes a free plan and a paid Premium plan.

• Strengths: A Free plan and a $60/month Premium plan are published, which makes it easy to start small. Enterprise is available on a contact-sales basis.
• Strengths: Agent discovery uses five sensors: OpenTelemetry streams, MCP servers, network traffic, cloud APIs, and employee devices. Found agents are traced down to reasoning steps and tool calls and evaluated continuously on metrics such as groundedness and PII leakage.
• Strengths: The Arthur Evals Engine (MIT license) and the Deckard discovery scanner, released on November 3, 2026, are open source and can be tried without a contract. Development teams and governance departments can use the same foundation for observation, evaluation, guardrails, and cost management.
• Things to note: GRC-oriented features such as regulatory framework mapping and approval workflows are described only sparsely on public pages. Guardrails return a verdict, so actions such as blocking must be built into the app. Data retention is 7 days for Free and 30 days for Premium.
• Things to note: The site and documentation are in English only, and there is no mention of Japanese support or support for Japanese regulations.

Pricing: Free $0/month (core performance monitoring, cloud data integration, up to 4 use cases, unlimited seats). Premium $60/month (up to 100 use cases, custom metrics and dashboards, custom alerts and webhooks). Enterprise is contact sales (dedicated and managed VPC options, SSO, SLA, BAA, dedicated customer success). The open-source Arthur Evals Engine is free and self-deployed. A Startup Partner Program for venture-backed startups requires an application.

Best for: Small teams and development-led organizations that want to try agent discovery and evaluation at low cost. If you plan to use it mainly for GRC, confirm the details first.

Recommendations by Goal

Goal	Recommended	Why
Start with a free plan or trial	Arthur, IBM watsonx.governance	Arthur publishes a Free plan at $0/month for up to 4 use cases, and IBM's Japanese pricing page mentions a 14-day free trial.
Budget with published prices	Saidot, IBM watsonx.governance	Saidot lists €1,400/month and €3,100/month plans, and IBM shows reference prices such as $3,500/month and $6,450/month.
Japanese-language materials	IBM watsonx.governance	It has Japanese product and pricing pages, though Japanese display in the product UI could not be confirmed.
Small team starting small	Arthur	The $60/month Premium plan supports up to 100 use cases with custom alerts and webhooks.
Keep data in your own environment	ModelOp, IBM watsonx.governance	ModelOp deploys on-premises, in a private cloud, or hybrid, and IBM offers a software version for your own environment.
Extend existing privacy, GRC, or data governance	OneTrust AI Governance, Collibra AI Command Center	OneTrust runs on its privacy and risk platform, and Collibra builds on its data catalog and lineage foundation.
Discover and govern AI agents	Holistic AI, Trustible	Holistic AI uses EndLayer and Guardian Agents, while Trustible's Agent Scanner discovers agents on agent-building platforms.
Regulated insurance and finance	Monitaur	It is designed around insurance model risk management and offers outside-in AI testing with FlightSim.

Japanese support is limited across this group, so confirm language and data location with each vendor before you commit. Most tools also require a demo to get a quote, so request quotes early.

How to Choose Without Regrets

Check what the free plan or trial actually covers

Only a few tools offer a way to try before you buy. Arthur's Free plan is limited to 4 use cases and 7 days of data retention, and IBM's trial is mentioned only on the Japanese pricing page. Saidot mentions a free trial without terms, so ask for the details.

Decide how much pricing transparency you need

Saidot, IBM watsonx.governance, and Arthur publish amounts. Credo AI, Holistic AI, OneTrust AI Governance, ModelOp, Monitaur, Trustible, and Collibra AI Command Center require a demo or inquiry. If you need to set a budget before talking to sales, start with the tools that publish prices, then request quotes from the rest.

Confirm Japanese support early

IBM watsonx.governance is the only tool here with Japanese product and pricing pages. Collibra AI Command Center states that Japanese is not supported, and the others are English only or unconfirmed. If Japanese UI or Japanese guidelines matter to your team, ask each vendor directly and test it in a trial.

Match the delivery model and data location

Most tools are web-based SaaS, but ModelOp runs in your own environment and needs an in-house infrastructure team. IBM offers SaaS and a software version, though its risk and compliance plans are not in the Tokyo region. Saidot processes data in the EU, and Holistic AI stores data in the UK or US.

Separate governance workflows from technical monitoring

Some tools focus on policy, inventory, and audit evidence, such as OneTrust AI Governance and Trustible. Others lean toward testing and runtime monitoring, such as Holistic AI, Monitaur, and Arthur. Decide which need is more urgent, and check that GRC-style features like approval workflows are covered if you choose a monitoring-focused tool.

FAQ

Q. Which tools offer a free plan or free trial?

A. Arthur publishes a Free plan at $0/month, and its open-source Arthur Evals Engine is free. IBM watsonx.governance mentions a 14-day free trial on its Japanese pricing page, but the English page lists none. Saidot mentions a free trial without terms, and Holistic AI offers a free open-source library, holisticai.

Q. Which tools publish their prices?

A. Saidot lists Saidot Library at €1,400/month and Saidot Platform – Enterprise at €3,100/month. IBM watsonx.governance lists reference prices: model management from $0.64, risk and compliance Basic from $3,500/month, Advanced from $6,450/month, and the AWS version from $42,000. Arthur lists Free at $0/month and Premium at $60/month. Prices were checked on November 7, 2026, so check the official website for the latest pricing.

Q. Do any of these tools support Japanese?

A. IBM watsonx.governance has Japanese product and pricing pages, but Japanese display in the product UI could not be confirmed. Collibra AI Command Center lists English, French, German, Spanish, and Dutch (preview) and does not include Japanese. For the others, Japanese support is not stated or could not be confirmed.

Q. Can any of them run in my own environment?

A. ModelOp is deployed on-premises, in a private cloud, or in a hybrid setup, and it is not a public SaaS. IBM watsonx.governance also offers a software version priced by the number of virtual processor cores. Arthur lists dedicated and managed VPC options for Enterprise.

Q. Which tools help with governing AI agents?

A. Several include agent-focused features. Credo AI has an Agent Registry, and Holistic AI has Guardian Agents. Trustible has Agent Scanner, Collibra AI Command Center has Guardian Agents and agent contracts, and Arthur discovers agents through five sensors. Some of these features are in preview, so confirm their status with each vendor.

Summary

The 10 platforms differ in focus. Some centralize policy, inventory, and audit evidence, while others emphasize testing, runtime monitoring, or deployment in your own environment. Only Saidot, IBM watsonx.governance, and Arthur publish prices, and most others require a demo.

Free options are limited, and Japanese support is thin. IBM watsonx.governance has Japanese product and pricing pages, while Collibra AI Command Center states that Japanese is not supported. Check the official website for the latest pricing and features before you decide.

• Starting small at low cost → Arthur (published Free plan and $60/month Premium plan)
• Japanese-language materials and published reference prices → IBM watsonx.governance (Japanese product and pricing pages)
• Keeping data in your own environment → ModelOp (on-premises, private cloud, or hybrid deployment)

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