Large enterprises building an AI governance program should shortlist Credo AI and Holistic AI: both inventory models, agents and AI vendors, run risk assessments and map controls to the EU AI Act, NIST AI RMF and ISO 42001. Trustible is the better fit for mid-size companies and legal-led programs that want unlimited use cases at a lower price. If you already use OneTrust for privacy, its AI governance module reuses your data maps and vendor assessments. Software companies seeking ISO 42001 certification can do it inside a compliance platform such as Scrut. Note the new deadlines: after the AI Omnibus, high-risk obligations under the EU AI Act apply from December 2, 2027 for stand-alone systems and August 2, 2028 for AI in regulated products.
Enterprise AI governance software for discovering AI systems, managing risk and demonstrating compliance with major AI regulations and standards.
Credo AI governs models, applications, agents and third-party AI vendors from one registry, with policy packs for the EU AI Act, NIST AI RMF, ISO 42001 and SOC 2. It is built for Global 2000 companies where legal, risk, data science and procurement all need to sign off on an AI use case, and it has more than 300 integrations to pull evidence from model platforms and MLOps tools. It raised $21 million in 2024, bringing total funding to $41.3 million. Pricing is a custom annual contract scoped by the number of governed AI use cases.
Pricing: Credo AI uses custom annual contracts. AWS Marketplace offers an Enterprise Plan through private offers, with scope based on governed AI use cases; its nominal $1 listing is not a usable platform starting price. Microsoft Marketplace also directs buyers to sales.
Combines registry, risk, policy mapping and evidence workflows in one AI-specific governance platform.
Policy packs cover major emerging AI governance frameworks, including the EU AI Act and ISO/IEC 42001.
Broad integrations connect governance work to cloud, MLOps, GRC and business systems.
Pricing is private and use-case-based, making early budget estimation difficult.
Implementation and workflow configuration can require substantial cross-functional effort.
Organizations may still need specialized tools for deep behavioral testing or low-level runtime enforcement.
Enterprise AI governance for discovering systems, testing risk, enforcing policies, and proving compliance with major AI frameworks.
Holistic AI focuses on finding AI wherever it is used, across cloud platforms, code repositories, data platforms and embedded tools in SaaS products, then testing it for bias, robustness and other risks. Customers include Unilever, Siemens and MAPFRE. It covers the EU AI Act, NIST AI RMF, ISO 42001 and New York City's Local Law 144 on automated employment decision tools. Integrations include AWS, Azure, Google Cloud, GitHub, Databricks, Snowflake, OpenAI and Anthropic. A strong choice when you do not yet know how much AI your company uses. Pricing is quoted.
Pricing: Holistic AI uses a custom enterprise quote rather than public platform rates. Buyers scope discovery, governance, testing, integrations and implementation with sales.
Combines AI discovery, inventory, assessment, compliance mapping, and enforcement in one platform.
Read-only connectors can surface models, agents, and shadow AI across common enterprise environments.
Framework workflows produce structured evidence for major AI regulations and standards.
Public pricing is unavailable, so buyers must complete a sales process before comparing costs.
Broad platform scope can require specialist governance ownership and substantial policy configuration.
Inventory quality depends on enabled connectors and the completeness of the organization’s technology estate.
AI governance software for regulated enterprises managing AI intake, risk, monitoring and compliance across emerging frameworks.
Trustible, founded in 2023 near Washington, DC, is designed for legal, compliance and risk teams rather than data scientists. Both its Standard and Enterprise subscriptions include unlimited use cases, models and vendors, which avoids the per-use-case pricing that makes some enterprise tools expensive as adoption grows. It covers more than 10 frameworks, including the EU AI Act, NIST AI RMF, ISO 42001, NYC Local Law 144 and the Colorado AI Act, and integrates with Databricks, MLflow, Jira and ServiceNow.
Pricing: Trustible does not publish list pricing. Public descriptions identify annual Standard and Enterprise subscriptions, with unlimited use cases, models and vendors in both tiers. Enterprise adds broader framework coverage, enablement, customizations and integrations.
Combines AI intake, inventory, risk and compliance workflows in one purpose-built platform.
Maps one governance program across 10 or more AI frameworks.
Produces structured evidence packages and exports from recorded governance actions.
Custom pricing makes budget comparison difficult before a sales process.
The platform is specialized for AI governance rather than a full enterprise GRC replacement.
Deeper technical monitoring may require integrations or complementary MLOps tools.
Govern privacy, data use, AI, technology risk, and third-party compliance for enterprises across global regulations and frameworks.
OneTrust's AI governance module extends the privacy and third-party risk products used by more than 14,000 customers. AI use cases can draw on existing data maps, records of processing and vendor assessments, which matters because most AI risk reviews start with what data the system uses and which vendor supplies the model. It maps to the EU AI Act and ISO 42001. Pricing is quote-based and metered differently for each OneTrust product.
Pricing: OneTrust sells solution packages with usage-based meters rather than publishing standard prices. Pricing can depend on administrator users, asset or third-party inventory, data-subject profiles, average daily visitors, or annual scan volume. The company says customers can expand usage during the contract term, with higher tiers or contract amendments applying when licensed limits are exceeded.
Covers privacy, consent, AI, GRC, technology risk, and third-party management in one platform.
Supports usage-specific pricing across administrators, inventories, profiles, visitors, and scan volume.
Offers broad connectivity through APIs, SDKs, data feeds, system integrations, and 500-plus pre-built plug-ins.
Quote-based, usage-metered pricing makes costs difficult to estimate before a sales process.
The platform’s breadth can require significant configuration, implementation, and internal program ownership.
Different solutions use different pricing meters, which can complicate procurement and budgeting.
For a software company whose customers are asking for proof of responsible AI, ISO 42001 certification is often the goal, and a compliance platform is the most direct route. Scrut supports ISO 42001 and the EU AI Act alongside SOC 2, ISO 27001 and more than 70 other frameworks, so overlapping controls are only implemented once. It has 1,329 G2 reviews averaging 4.9 and an AWS Marketplace listing at $15,000 a year for companies of up to 20 employees. Vanta, Drata and Secureframe offer ISO 42001 too.
Pricing: Scrut’s main pricing model is custom and quote-based, with core features, modules, and frameworks included and audit charges potentially separate. AWS Marketplace lists a $15,000 annual contract for compliance automation for organizations with up to 20 employees. The listing describes a fixed contract rather than usage-based metering and says onboarding, implementation, training, and continuous support are included.
Cross-framework control mapping lets teams collect evidence once and reuse it across programs.
The platform combines compliance, risk, vendor management, monitoring, and trust workflows.
Its integration coverage includes cloud, identity, HR, code, ticketing, and business systems.
Public pricing is limited to an AWS Marketplace entry for organizations with up to 20 employees.
External audit charges and assessment work can remain separate from the platform subscription.
The breadth of modules may require more configuration than a single-framework compliance tool.
6. Best for regulated industries testing AI models
Asenion
AI governance, risk and compliance software for assessing, testing and governing predictive, generative and agentic AI.
Asenion, formerly Fairly AI, was built for banks, insurers and other regulated companies that already run model risk management. It automates controls and testing across predictive, generative and agentic AI against the EU AI Act, ISO 42001 and NIST AI RMF, and connects to Azure, AWS, Google Cloud, MLflow, Jira and ServiceNow. It is a smaller company than Credo AI or Holistic AI. Current pricing is quoted; older self-serve plans are no longer offered.
Pricing: Asenion does not publish current plan prices. A legacy Fairly AI page lists Essential at $99 monthly and Pro at $299, but both are out of stock, so those figures are not current offers. Enterprise deployment and implementation require a sales conversation.
Combines policy controls, assessments, testing, evidence and reporting in one workflow.
Supports private-cloud, on-premises and self-hosted testing deployments.
Connects model discovery and evidence to common cloud, MLflow, ticketing and collaboration tools.
Current pricing is not published, making budget comparison difficult.
The legacy self-serve pricing page is out of stock and cannot be used as a current offer.
Implementation requires configuration of policies, roles, evidence and integrations.
Two years ago, most companies handled AI governance with an acceptable use policy and an approval email. That no longer works. AI shows up in products, in internal tools built on model APIs, in agents with access to company systems and in nearly every SaaS product the company buys. Legal and security teams are asked to answer questions they cannot answer from a policy document: where is AI used, what data does it touch, who approved it, and how do we know it behaves as intended?
Three forces turned this into a tooling problem:
Regulation. The EU AI Act is the first broad AI law, and most of its rules applied from August 2, 2026. US states, starting with Colorado, and cities such as New York have added their own rules on automated decisions.
Customers. Enterprise buyers now include AI sections in security questionnaires. In our study of 111 startup trust centers, 44 percent had a dedicated AI governance section.
Certification. ISO 42001 gives companies a certifiable management system for AI, and enterprise procurement teams have started asking for it.
The EU AI Act timeline after the AI Omnibus
The European Commission proposed changes to the AI Act in November 2025 as part of its digital omnibus package. Parliament and Council agreed on them in May 2026, the act was published in the Official Journal on July 24, 2026 and entered into force on July 27, 2026. The dates that now apply:
Obligation
Applies from
Prohibited AI practices and AI literacy
February 2, 2025
General-purpose AI model obligations
August 2, 2025
Most remaining rules, including governance and penalties
August 2, 2026
Marking AI-generated content (systems already on the market)
December 2, 2026
High-risk AI systems in Annex III (hiring, credit, education, critical infrastructure, biometrics and others)
December 2, 2027
High-risk AI in products covered by EU safety law (Annex I)
August 2, 2028
The Omnibus also added a ban on AI systems that generate non-consensual intimate images or child sexual abuse material, and extended simplified documentation to small mid-cap companies. For most companies the extra time for high-risk systems is a chance to build inventories and assessments properly, not a reason to pause. The classification work, deciding which of your systems are high-risk, has to happen first and takes longer than expected.
How we chose these six
We reviewed the AI governance platforms in our compliance directory, plus compliance platforms that support ISO 42001. We weighted AI discovery and inventory, assessment workflows, regulatory and framework content, technical testing, integrations with model and data platforms, and fit for the teams that own AI governance, often legal and privacy rather than engineering. Pricing is as of October 2026; none of the dedicated platforms publishes a rate card.
Other options: IBM watsonx.governance suits companies already on IBM's AI stack. ServiceNow and Archer have added AI risk modules to their GRC suites. Fairly AI is now Asenion, listed above.
Which tool fits which company
Global enterprise with hundreds of AI use cases. Credo AI or Holistic AI. Choose Credo AI for policy-driven workflows across legal, risk and procurement, and Holistic AI if discovery and technical testing are the bigger gaps.
Mid-size company with a legal or privacy team leading AI governance. Trustible, or OneTrust if you already use it for privacy.
SaaS company whose customers ask about AI. Get ISO 42001 certified through your compliance platform, such as Scrut, Vanta, Drata or Secureframe, and publish an AI section on your trust center. See our trust center guide.
Bank or insurer with a model risk function. Asenion or Credo AI, connected to your existing model risk management inventory. Check how the tool handles models already validated under existing model risk guidance.
What an AI governance program needs
An inventory. Every AI system you build, deploy or buy, with owner, purpose, data used, model provider and users affected. Discovery tools help, but questionnaires to business owners are still needed.
Risk classification. Map each use case to EU AI Act categories (prohibited, high-risk, limited risk with transparency duties, minimal) and to your internal risk tiers.
Impact and risk assessments. For higher-risk uses, document intended purpose, data quality, bias testing, human oversight and failure modes.
Controls and testing. Pre-deployment evaluation, monitoring after launch, incident reporting, and change management when models are updated.
Vendor management. Most AI risk enters through vendors. Add AI questions to vendor reviews: training on your data, model providers, data location. See our TPRM guide.
Documentation. Technical documentation and logs for high-risk systems, transparency notices for users, and records that show who approved what.
ISO 42001 certification in practice
ISO 42001 follows the same structure as ISO 27001: context, leadership, planning, support, operation, performance evaluation and improvement, plus an annex of AI-specific controls. Companies with ISO 27001 can reuse a large share of their management system. Typical steps:
Define the scope, such as the AI features in your product.
Run an AI risk assessment and AI system impact assessment.
Select controls from Annex A and write a statement of applicability.
Implement policies, roles, data and model lifecycle processes.
Run an internal audit and management review.
Complete a stage 1 and stage 2 audit with an accredited certification body.
Timelines of three to six months are common for software companies that already hold ISO 27001. Budget for the certification audit separately from the software.
For a broader view of GRC platforms that are adding AI modules, see our GRC guide. For the ISO 27001 basics, see our ISO 27001 framework page.
Frequently asked questions
What is AI governance software?
AI governance software keeps an inventory of AI systems, models and vendors; runs risk and impact assessments; maps AI use cases to legal and framework requirements; tracks approvals, testing and monitoring; and produces documentation for regulators, auditors and customers.
When do EU AI Act obligations apply?
Prohibited practices and AI literacy obligations applied from February 2, 2025, and general-purpose AI model obligations from August 2, 2025. Most remaining rules applied from August 2, 2026. The AI Omnibus, in force since July 2026, moved high-risk obligations to December 2, 2027 for stand-alone high-risk systems such as those used in hiring, credit, education and critical infrastructure, and to August 2, 2028 for AI embedded in regulated products.
What is ISO 42001?
ISO/IEC 42001, published in December 2023, is the international standard for an AI management system. Like ISO 27001 for information security, it sets out policies, risk assessments, controls and continual improvement, and companies can be certified by an accredited auditor. It is becoming the common way to show customers that AI is governed responsibly.
Does ISO 42001 certification mean EU AI Act compliance?
No. ISO 42001 covers how an organization manages AI and overlaps with many AI Act obligations, but it is not a harmonized standard under the Act and does not by itself prove conformity for high-risk systems. Many companies use it as the management system underneath their AI Act program.
How much does AI governance software cost?
Dedicated platforms such as Credo AI, Holistic AI and Trustible are quote-based annual subscriptions, usually priced by scope or number of AI use cases. Compliance platforms that include ISO 42001, such as Scrut, start around $15,000 a year for small companies.
Do small companies need AI governance software?
Usually not a dedicated platform. A startup can keep an AI inventory, an acceptable use policy and vendor reviews in its compliance tool. Dedicated software becomes worthwhile when you have many AI use cases, high-risk uses under the AI Act, or customers and regulators asking for detailed evidence.
Prices and ratings come from each vendor's public pricing pages and review sites as of October 22, 2026. Vendors change pricing often, so confirm with a quote. Nothing here is tax or legal advice.
