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AI software · 16 vendors ranked

Best AI Governance Platforms in 2026

The short answer

  1. #1 Saidot: Governance platform built around an AI agent catalogue. Best for: Teams governing agents and EU exposure.
  2. #2 Credo AI: Registry, risk review and policy engine for enterprise AI. Best for: Compliance-led AI governance programs.
  3. #3 Trustible: Lifecycle AI governance from intake to compliance reports. Best for: Governance teams starting from zero.

Vendors can pay for more visibility on this website, for example a higher place in a ranking or more room on a page. Commercial relationships can also affect which products we feature and how prominently. Every vendor link is marked the same, whatever the arrangement behind it. The largest vendors in AI governance platforms cannot hold places 1 to 3. Places 1 to 3 go to challengers, vendors outside the best-known brands in a category, wherever the category has them; the established names follow from place 4 in their ranked order. How it works: placement disclosure · editorial process.

Compared at a glance

#ToolBest forPricing modelHeadquarters
1Saidot Teams governing agents and EU exposureQuote onlyFinland
2Credo AI Compliance-led AI governance programsQuote onlyNot stated
3Trustible Governance teams starting from zeroQuote onlyNot stated
4Holistic AI Buyers who want testing built inQuote onlyNot stated
5Monitaur Regulated teams needing controls evidenceQuote onlyNot stated
6Enzai Regulated firms piloting one workflowQuote onlyNot stated
7Lumenova AI Teams wanting the gateway in their perimeterQuote onlyNot stated
8ModelOp Enterprises with many production modelsQuote onlyUnited States
9Fiddler AI Engineering teams wanting a priced startUsage-basedNot stated
10Collibra Existing Collibra customers adding AIQuote onlyBelgium
11OneTrust Privacy teams already on OneTrustQuote onlyUnited States
12Cranium AI Security-led AI governance programsQuote onlyUnited States
13Arthur Security teams controlling agents at runtimeQuote onlyNot stated
14Zenity Security operations teams watching agentsQuote onlyNot stated
15Securiti Data security teams extending to AIQuote onlyUnited States
16IBM watsonx.governance Large IBM-centric enterprisesQuote onlyUnited States

The 16 tools, reviewed

#1 Saidot

Governance platform built around an AI agent catalogue · Finland · saidot.ai

agent catalogue EU AI Act inventory

Saidot records who owns each AI agent, what it is allowed to do and how it connects to its models, tools and data, which is the question an auditor asks first. The inventory, an EU AI Act classifier and a library of reusable content sit beside runtime monitoring, so the register is not a static spreadsheet.

  • Pricing: Quote only. Pricing page shows no amounts. Free plan: none.
  • Best for: Teams governing agents and EU exposure
  • Strengths: Centralised AI inventory; Agent Catalogue; Workflows, integrations and MCPs.

Where it falls short

No price is published, so budgeting starts with a sales call, and neither a free plan nor a trial is offered.

Wrong for

A company whose AI use is limited to a few employee-facing assistants and who needs a policy template rather than a register.

Visit Saidot →

#2 Credo AI

Registry, risk review and policy engine for enterprise AI · Not stated · credo.ai

AI registry shadow AI policy engine

Credo AI covers the full loop a governance office runs: find the AI in use, register it, assess it against policy and keep track of changing regulation.

  • Pricing: Quote only. No prices on vendor pages; sales-led. Free plan: none.
  • Best for: Compliance-led AI governance programs
  • Strengths: AI Registry; Shadow AI Discovery; Risk & Compliance Management.

Where it falls short

Pricing and legal details beyond the corporate name are not shown, and no trial exists, so a proof of concept means a negotiated engagement.

Wrong for

A security team looking for real-time protection of agents in production, or a small company without a dedicated risk owner.

Visit Credo AI →

#3 Trustible

Lifecycle AI governance from intake to compliance reports · Not stated · trustible.ai

AI intake risk triage compliance reports

Trustible maps governance to the order work actually arrives: a business unit asks to use an AI system, the system is triaged, an impact assessment is triggered if needed, incidents are logged, and a compliance report can be exported at the end.

  • Pricing: Quote only. No prices published; the only call to action is a demo request. Free plan: none.
  • Best for: Governance teams starting from zero
  • Strengths: Intake; Manage Risk; Monitor.

Where it falls short

No price, free plan or trial is shown, and the footer names the brand only, so contracting details need to be asked for.

Wrong for

An ML platform team that wants drift and performance monitoring tied to deployment pipelines.

Visit Trustible →

#4 Holistic AI

Discovers, tests and polices AI systems with monitoring agents · Not stated · holisticai.com

AI discovery risk testing policy enforcement

Holistic AI starts with discovery and inventory, then tests systems and enforces policy through what it calls Sentinel and Operative agents.

  • Pricing: Quote only. No prices shown; demo booking only. Free plan: none.
  • Best for: Buyers who want testing built in
  • Strengths: AI discovery & inventory; AI risk management; AI policy enforcement & compliance.

Where it falls short

The vendor's About page returned a 404 when we opened it, and no legal entity or address is shown.

Wrong for

A procurement-driven buyer who needs legal entity and address details up front, or a team that only needs a policy register.

Visit Holistic AI →

#5 Monitaur

Controls, policy and monitoring for AI systems · Not stated · monitaur.ai

controls drift and bias vendor governance

Monitaur groups its product around controls: an inventory of systems, policies mapped to controls, risk assessments, and monitoring for drift and bias with stress testing on top.

  • Pricing: Quote only. No pricing on vendor pages. Free plan: none.
  • Best for: Regulated teams needing controls evidence
  • Strengths: Inventory; Controls; Policy.

Where it falls short

No limits, prices, free plan or headquarters are stated on the pages we read, so scale and cost are unknowns until a conversation.

Wrong for

A start-up using hosted language models through an API with no internal models to test. Lightweight policy and inventory tracking, or an LLM gateway, would fit that situation better.

Visit Monitaur →

#6 Enzai

AI governance and compliance for regulated enterprises · Not stated · enz.ai

intake and review agent governance regulated

Enzai covers shadow AI discovery, an intake and review process, risk and compliance tracking and agent governance, aimed at regulated enterprises.

  • Pricing: Quote only. No prices shown; a pilot is offered as a hosted sandbox for one workflow. Free plan: none.
  • Best for: Regulated firms piloting one workflow
  • Strengths: AI discovery and inventory; AI intake and review; AI risk and compliance.

Where it falls short

No pricing or trial terms appear beyond the one-workflow pilot, and the company's legal entity and location are not shown.

Wrong for

A team that needs technical model testing or runtime enforcement.

Visit Enzai →

#7 Lumenova AI

Governance and security for agents with a self-hosted gateway · Not stated · lumenova.ai

AI gateway guardrails registry

Lumenova AI joins governance records with enforcement: evaluations and guardrails sit next to a policy engine, an observability layer and a registry of AI assets.

  • Pricing: Quote only. No prices; discovery call is the only route. Free plan: none.
  • Best for: Teams wanting the gateway in their perimeter
  • Strengths: Evaluations; Guardrails; Policy Engine.

Where it falls short

Alerts only work when live monitoring is turned on, and a self-hosted gateway means your team operates it.

Wrong for

A team without platform engineers to run a gateway, or one that wants a pure paperwork register.

Visit Lumenova AI →

#8 ModelOp

AI Command Center and system of record for AI assets · United States · modelop.com

system of record lifecycle enterprise

ModelOp positions itself as the Enterprise AI Command Center: one system of record for every AI asset, with lifecycle steps automated and governance enforced rather than merely documented.

  • Pricing: Quote only. No prices shown; demo request only. Free plan: none.
  • Best for: Enterprises with many production models
  • Strengths: AI System of Record; Automated Lifecycle Management; Enforceable AI Governance.

Where it falls short

The page makes savings and speed claims without methodology, and we did not use them. No legal entity name, price, trial or free plan is shown.

Wrong for

A mid-sized company with a handful of AI systems and no model operations team.

Visit ModelOp →

#9 Fiddler AI

Control plane for monitoring, evaluating and guarding AI agents · Not stated · fiddler.ai

observability guardrails usage pricing

Fiddler AI describes a control plane for agents that joins monitoring, evaluation, policy enforcement and governance.

  • Pricing: Usage-based. Free plan. Free plan: free plan.
  • Best for: Engineering teams wanting a priced start
  • Strengths: Continuous Evaluations; Agentic Observability; Policy Enforcement.

Where it falls short

The governance side is oriented to technical evidence, so a legal team looking for assessment templates, intake forms and regulatory mapping will find less.

Wrong for

A compliance officer who needs impact assessments and approval workflows.

Visit Fiddler AI →

#10 Collibra

AI Command Center on a data governance foundation · Belgium · collibra.com

AI registry data governance agent contracts

Collibra presents AI governance as an extension of the catalog its customers already use: one registry for every AI asset, guardian agents that watch behavior, agent contracts that state what an agent may do, and a trust score.

  • Pricing: Quote only. Quote only; no published tiers. Free plan: none.
  • Best for: Existing Collibra customers adding AI
  • Strengths: Guardian agents; Agent contracts; One unified registry for every AI asset.

Where it falls short

The AI features make most sense alongside Collibra's data governance product, which adds cost and implementation work for a team that only needs AI oversight.

Wrong for

A company without a data governance program that wants AI oversight alone.

Visit Collibra →

#11 OneTrust

AI governance module inside a privacy and risk suite · United States · onetrust.com

policy to controls guardrails privacy suite

OneTrust organizes AI governance as a sequence: discover and centralize the AI estate, assess and standardize risk, monitor models and agents, enforce guardrails, govern agent actions including MCP environments, and generate evidence.

  • Pricing: Quote only. Contact sales; no prices on the product page. Free plan: none.
  • Best for: Privacy teams already on OneTrust
  • Strengths: Discover and centralize the AI estate; Assess and standardize AI risk; Monitor AI models and agents.

Where it falls short

The product page shows no prices, and the suite approach brings licensing complexity: a buyer needing only AI governance may pay for adjacent modules.

Wrong for

A technical team that wants lightweight governance without a compliance suite.

Visit OneTrust →

#12 Cranium AI

AI security and governance with an AI bill of materials · United States · cranium.ai

AI bill of materials red-teaming shadow AI

Cranium ONE discovers AI assets, builds an AI Bill of Materials, detects shadow AI, maps to the NIST AI RMF and EU AI Act, runs adversarial tests and produces attestations.

  • Pricing: Quote only. No prices; demo request only. Free plan: none.
  • Best for: Security-led AI governance programs
  • Strengths: Automated AI discovery and inventory; AI Bill of Materials; Shadow-AI detection.

Where it falls short

No street address, legal entity, pricing or trial is published. Coverage numbers are counts of signals, not evidence of detection quality.

Wrong for

A legal or privacy team that wants a policy workflow and impact assessments.

Visit Cranium AI →

#13 Arthur

Agent security and governance across endpoints and cloud · Not stated · arthur.ai

agent security runtime observability

Arthur discovers agents wherever they run, builds a behavioral baseline, and lets teams enforce policy at runtime, with evals, cost control and observability in the same product.

  • Pricing: Quote only. No prices; Book a Demo is the call to action. Free plan: none.
  • Best for: Security teams controlling agents at runtime
  • Strengths: Arthur Governance; Arthur Runtime Security; Agent Behavioral Analytics.

Where it falls short

The vendor's footer shows only a brand name, and no country, price, trial or free plan is given.

Wrong for

A compliance office preparing for an audit of AI systems rather than agents.

Visit Arthur →

#14 Zenity

Security and governance for AI agents · Not stated · zenity.io

agent security threat signals incident response

Zenity organizes its platform in three pillars, surface, enforce and protect, and lists visibility, risk prevention, threat signals, incident response and intent-based detection.

  • Pricing: Quote only. No prices shown; Get a Demo is the call to action. Free plan: none.
  • Best for: Security operations teams watching agents
  • Strengths: Comprehensive Visibility; Preemptive Risk Prevention; Actionable Threat Signals.

Where it falls short

The pages we read describe pillars and features but not policy registers, intake or regulatory mapping, so governance in the compliance sense is thin.

Wrong for

A governance or risk team that needs documented assessments, approvals and regulatory evidence.

Visit Zenity →

#15 Securiti

DataAI platform with AI governance and LLM firewalls · United States · securiti.ai

data security LLM firewall AI governance

Securiti brings AI governance into a wider platform for data and AI safety: governance, security for agents and copilots, an Agent Commander and context-aware LLM firewalls.

  • Pricing: Quote only. No prices shown; See a demo is the call to action. Free plan: none.
  • Best for: Data security teams extending to AI
  • Strengths: AI Governance; AI Security & Governance; Agent Commander.

Where it falls short

No price, trial or free plan is stated. The platform breadth means a buyer needing only AI governance would evaluate much more than needed.

Wrong for

A team that wants a stand-alone AI register with no data security program attached.

Visit Securiti →

#16 IBM watsonx.governance

Governance for AI models and agents from IBM · United States · ibm.com

governance graph shadow AI enterprise

IBM watsonx.governance describes visibility, control and accountability for models and agents, with a governance graph, shadow AI detection and policy enforcement.

  • Pricing: Quote only. Not shown on the product page. Free plan: none.
  • Best for: Large IBM-centric enterprises
  • Strengths: Governance graph; Shadow AI detection; Policy enforcement.

Where it falls short

The product page names few features and states no price, trial or free plan.

Wrong for

A mid-sized company wanting a quick pilot with transparent terms.

Visit IBM watsonx.governance →

What this category is

An AI governance platform is software that records every AI system and agent an organization builds or buys, assigns owners, assesses risk against internal policy and external regulation, and keeps evidence of reviews and controls. Many also discover unapproved AI use and monitor systems after launch.

How we ranked these

Five tests, applied to every product. The order is not the tests alone: places 1 to 3 go to challengers, vendors outside the best-known brands in a category, wherever the category has them, and the established names follow from place 4 in their ranked order.

  • Setup: Getting the first honest inventory.
  • The real price: Nobody prints it.
  • Getting your data out: The register is the asset.
  • Independence from the vendor: Who watches the watcher.
  • Who it's for: Match the product to the owner.

What the data says about this market

The category splits into three camps. Governance-first vendors such as Saidot, Credo AI, Trustible, Monitaur and Enzai start from the register and the review process. Security-first vendors such as Arthur, Zenity and Cranium AI start from agents that are already running and add policy on top. Platform vendors, including Collibra, OneTrust, Securiti and IBM, add AI governance to a data, privacy or enterprise estate. Several products now describe themselves in agent terms, and many mention MCP environments, so a buyer comparing offers is partly comparing roadmaps. Transparency is thin.

More in our report The Global Shift to ICT Services, on market data and in all industry reports.

How to choose

  1. Name the owner and the first question. Write down who will log in every week and which question they must answer within a quarter.
  2. Test discovery and intake on your own messy estate. Ask each finalist to register ten real systems from your company, including one bought tool with an embedded AI feature, one internal model, one agent and one that someone adopted without approval.
  3. Price the second year and the exit. Because almost no vendor prints a price, ask for a three-year quote with named meters: registered systems, agents, users, discovery connectors and environments.

Questions and answers

What is the best AI governance platform in 2026?

Saidot ranks first of 16, best for teams governing agents and EU exposure. Credo AI is second (compliance-led AI governance programs) and Trustible third (governance teams starting from zero). Places 1 to 3 go to challengers, vendors outside the best-known brands, wherever the category has them.

How is AI governance different from AI observability?

Observability measures what a model or agent did: traces, latency, drift, errors. Governance records who approved the system, which rules apply, what risk was assessed and what evidence exists.

Do we need a platform, or is a spreadsheet enough?

A spreadsheet works while you have a handful of systems and one owner.

What does the EU AI Act change for the choice of platform?

It makes classification and documentation a legal task. Saidot offers an EU AI Act classifier and Cranium AI lists mapping to the NIST AI RMF and the EU AI Act. Credo AI includes regulatory and policy intelligence.

Which tools discover shadow AI automatically?

Among the vendors here, Credo AI, Cranium AI, Enzai and IBM watsonx.governance describe shadow AI discovery or detection on their own pages, Holistic AI and OneTrust describe discovering AI systems, and Arthur finds agents across endpoints, cloud and data centers.

Is there a free or open way to start?

Fiddler AI is the only vendor here with a published free plan, and it governs through monitoring and guardrails rather than assessments.

How should we handle AI agents in governance?

Treat each agent as an asset with an owner, a list of tools and data it may touch, and an approval record.

Can an existing data governance or privacy suite cover AI?

Sometimes. Collibra, OneTrust and Securiti all offer AI governance on top of data or privacy products, and linking an AI system to the data it uses is easier when both live in one place.

What should we ask about pricing when nothing is published?

Ask which meter drives the quote: registered systems, agents, users, connectors or traces. Ask what happens when the count doubles, whether discovery and testing are included, and what the renewal uplift is.

How do we judge a vendor that shows no company details?

Several vendors here show only a brand name or a copyright line.

Can one platform cover governance and security?

Not completely, in our reading. Governance-first products document and review, while security-first products detect and block. Lumenova AI, Credo AI, Holistic AI and Cranium AI each mix both, with different weight.