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Buyer’s guide

AI governance tools: the 2026 enterprise buyer’s guide

31 vendors across five segments, a shortlist by buyer need, and a 30-minute stress test you can run before you buy.

October 2026 · 30 min read · Updated for EN 18286, the first harmonised standard cited under the EU AI Act

Kevin ShinnersBy Kevin ShinnersSVP Sales, ModulosLast reviewed: Next review: Changelog

This guide compares 31 AI governance tools in five segments: policy and compliance, observability, runtime enforcement, AI security, and enterprise platforms. Start with the shortlist below, read the vendor profiles, apply the capability checklist, and run the 30-minute stress test with each finalist. We do not rank vendors on one axis, because they solve different problems. Modulos publishes this guide and is one of the 31 vendors; competitor facts link to each vendor’s own pages where possible.

Shortlist by buyer need

If you needStart with
EU AI Act and ISO/IEC 42001 in one system of recordCredo AI, Modulos, Saidot, Trustible
US enterprise governing large agent fleetsCredo AI, IBM watsonx.governance, ModelOp, ServiceNow AI Control Tower
Insurance and financial-services model riskIBM watsonx.governance, Modulos, Monitaur
A privacy programme extending into AIOneTrust AI Governance, Truyo
Governance inside a stack you already runCollibra, IBM watsonx.governance, SAP AI Agent Hub, ServiceNow AI Control Tower
Models built on an ML platformDataiku, DataRobot
Agent security and shadow agentsAiria, Cranium AI, Zenity
Runtime guardrailsAiria, AWS Bedrock Guardrails, Bifrost (Maxim AI), NVIDIA NeMo Guardrails
Continuous red-teamingCranium AI, Mindgard, Palo Alto Networks Prisma AIRS
Model and agent observabilityArthur AI, Coralogix, Fiddler AI, Monte Carlo

Starting points drawn from the vendor profiles below, listed without ranking.

Deadlines and analyst coverage in 2026

The EU AI Act Omnibus (Regulation (EU) 2026/1744) has been in force since 27 July 2026. High-risk obligations under Annex III apply from 2 December 2027, and AI embedded in regulated products under Annex I from 2 August 2028; penalties for prohibited practices reach 7% of global annual turnover. On 14 October 2026 the reference of EN 18286, the quality management system standard, was published in the Official Journal, so the first presumption of conformity under the Act now exists (for Article 17(1) and the first sentence of Article 11(1)).

Gartner published its inaugural Gartner® Magic Quadrant™ for AI Governance Platforms on 16 June 2026 and evaluated 13 vendors; Modulos was named in the report as an Honorable Mention. Forrester had evaluated ten providers in The Forrester Wave™: AI Governance Solutions, Q3 2025, a list that overlaps only partly with Gartner’s, and Modulos was not part of it. This guide states each vendor’s placement in the vendor’s own published words.

Every vendor now claims end-to-end governance, continuous monitoring and EU AI Act compliance, so test the product behind the claim before you shortlist it.

Our view: Ask each vendor to show the audit trail behind one control status change: the evidence item, the person who approved it and the timestamp. A vendor that cannot show it is selling compliance documents.

Market segments

We place each tool in the segment where it is most differentiated. Many span two or three.

Policy, compliance and GRC:
the system of record for frameworks, controls, evidence and AI risk management.
Observability:
drift, bias, performance and behaviour of AI in production.
Runtime enforcement:
checks that block, modify or flag individual requests and responses.
Red-teaming and AI security:
attacks on AI systems to find weaknesses before adversaries do.
Enterprise incumbents:
GRC, ITSM, privacy, ERP and ML platforms extended into AI governance.
01

Policy, compliance and GRC tools

The most crowded segment. The differences that matter are framework depth, whether one control serves several regulations, where evidence comes from, and whether risk is expressed in money or in ratings.

POLICY / COMPLIANCE / GRC

Credo AI

San Francisco, CA · Founded 2020

Credo AI governs models, agents and applications in one platform, with a deep risk library and regulatory mappings across regions. It ships real-time monitoring, continuous evaluation and drift detection across agents, GAIA-powered intake and remediation, and Agent Governor, in research preview since 14 July 2026 for runtime enforcement on coding agents. In September 2026 it added the AIUC-1 agent standard. Credo AI states it was named a Leader in The Forrester Wave™: AI Governance Solutions, Q3 2025, and a Visionary in the 2026 Gartner® Magic Quadrant™ for AI Governance Platforms. Named customers include Mastercard and Booz Allen Hamilton. See Modulos vs Credo AI.

Differentiator
Model, agent and application governance in one platform; broad integrations; US enterprise and federal footprint
Watch for
US-first framework emphasis; no public ISO/IEC 42001 certification; Agent Governor is a research preview

POLICY / COMPLIANCE / GRC

Holistic AI

London, UK · Founded 2018

Holistic AI grew from bias auditing into a full-lifecycle platform with shadow AI discovery across cloud platforms, code repositories and SaaS, automated risk testing and continuous compliance monitoring. Its Guardian Agents add Sentinel Agents that observe and Operative Agents that intervene in real time. Integrations span AWS, Azure, GitHub, Databricks and Hugging Face, and its assessment library is strongest where AI risk concentrates on demographic outcomes. Holistic AI states it is the only vendor identified as a Challenger in the 2026 Gartner® Magic Quadrant™ for AI Governance Platforms. It holds ISO/IEC 27001:2022, and its trust centre lists ISO/IEC 42001 as in progress. See Modulos vs Holistic AI.

Differentiator
Shadow AI discovery; Guardian Agents for observation and intervention; bias and fairness depth
Watch for
Product breadth is expanding fast; check which capabilities are mature and which are new

POLICY / COMPLIANCE / GRC

ModelOp

Chicago, IL · Founded 2018

ModelOp is built for large, mixed AI portfolios: hundreds of models and agents from many teams and vendors, tracked in a model inventory and a dedicated agent registry, with automated workflows, real-time compliance reporting and more than 50 integrations. ModelOp states it was named a Visionary in the 2026 Gartner® Magic Quadrant™ for AI Governance Platforms, with its highest use-case score in AI Agent Governance. If your problem is 500 models with unclear owners, ModelOp is a credible answer. See Modulos vs ModelOp.

Differentiator
50+ integrations; inventory and agent registry built for scale; workflow automation
Watch for
Less regulatory depth than compliance-first platforms; closer to operations than to legal

POLICY / COMPLIANCE / GRC

Modulos

Zurich, Switzerland · ETH Zurich spin-out · Founded 2018 · First AI governance platform with ISO/IEC 42001 product conformity

Modulos is a dedicated AI governance platform for regulated enterprises, built around the Governance Graph, which links frameworks, requirements, controls and evidence. Its library maps 26 frameworks, including the full EU set (AI Act, CRA, NIS2, DORA, GDPR), EN 18286 (cited in the Official Journal on 14 October 2026) and frameworks for Singapore, the UAE, Saudi Arabia and Switzerland; 453 of its 929 controls serve two or more frameworks. Its experts serve on CEN-CENELEC JTC 21 and ISO/IEC JTC 1/SC 42.

Governance runs as scheduled and triggered jobs. Scout finds AI agents and deployments in connected Azure, Azure AI Foundry and Microsoft Copilot Studio tenants and reads OpenAI Platform and Claude Console usage; each system starts as a Draft, gets an initial risk assessment on submission and goes to a review queue. Agent Tests re-check conformity on a schedule and reopen a control when they fail, and the Fermi Risk Agent puts each AI risk in EUR, GBP or USD. References include Xayn and A-ZN, Slovenia’s insurance supervisor. Modulos holds a SOC 2 Type 2 report and the CertX ISO/IEC 42001 product conformity certificate, and was named in the inaugural Gartner® Magic Quadrant™ for AI Governance Platforms (Honorable Mention).

FRAMEWORKS
26, including the full EU set, EN 18286 and prEN 18228 and prEN 18282 as drafts, ISO/IEC 42001, NIST AI RMF, OWASP, and Singapore, UAE, Saudi Arabia, Switzerland and US state law
DEPLOYMENT
SaaS by default; private cloud, on-premise and air-gapped available on request
Differentiator
Scout discovery feeding a reviewed AI registry; scheduled Agent Tests; risk quantified in money; cross-framework deduplication
Watch for
Smaller brand footprint than IBM, ServiceNow and OneTrust; US enterprise sales coverage still scaling; private cloud, on-premise and air-gapped deployment are offered on request but not yet delivered to a customer

POLICY / COMPLIANCE / GRC

Monitaur

Boston, MA · Founded 2019

Monitaur describes itself as “the leading AI governance solution for regulated enterprises”. It keeps one system of record for internal and third-party AI, with policy and control libraries, risk assessment, runtime validation and monitoring for drift, bias and stress. Coverage pairs the EU AI Act, NIST AI RMF and ISO/IEC 42001 with NAIC, OCC, SOX, HIPAA, FFIEC and SR 11-7, and named customers include Unum, Progressive and Clearcover. Monitaur states it was recognised as a Visionary in the 2026 Gartner® Magic Quadrant™ for AI Governance Platforms and as a Strong Performer and Customer Favorite in The Forrester Wave™: AI Governance Solutions, Q3 2025. It holds a SOC 2 Type II report. See Modulos vs Monitaur.

Differentiator
Insurance and financial-services depth; model governance with continuous monitoring; named carrier customers
Watch for
Deployment options, red-teaming and runtime guardrails are not described on its public pages

POLICY / COMPLIANCE / GRC

Saidot

Helsinki, Finland

Saidot describes itself as an “AI governance platform built on a knowledge graph”. Teams register systems, models, agents and datasets, and can import models and agents directly from Azure OpenAI Service, Microsoft Foundry Agent Service, Azure ML and Amazon Bedrock. Registration includes automatic EU AI Act classification, and risk is scored qualitatively on likelihood and impact. Coverage names the EU AI Act, ISO/IEC 42001 and NIST AI RMF among more than 110 policies and standards. Saidot holds ISO/IEC 27001:2022, is included in the 2026 Gartner® Magic Quadrant™ for AI Governance Platforms, and was among the ten providers evaluated in The Forrester Wave™: AI Governance Solutions, Q3 2025. See Modulos vs Saidot.

Differentiator
Direct model and agent import from Azure AI Foundry and Amazon Bedrock; EU AI Act classification at registration
Watch for
No customers named on its own site; the public funding record shows a 2023 seed round

POLICY / COMPLIANCE / GRC

Trustible

New York, NY · Founded 2021

Trustible is built for AI governance professionals. It orchestrates use-case intake, risk and impact assessments, vendor evaluations and policy management in configurable, audit-ready workflows, with mappings to the EU AI Act, NIST AI RMF, ISO/IEC 42001 and the Colorado AI Act (SB 26-189, which replaced the repealed SB 24-205), among other US state laws. Trustible announced in June 2026 that it was recognised as an Honorable Mention in the 2026 Gartner® Magic Quadrant™ for AI Governance Platforms, the same recognition Modulos received. See Modulos vs Trustible.

Differentiator
Governance-professional workflows; automated intake and routing; AI-assisted vendor document analysis
Watch for
Earlier-stage company; less technical depth in model-level assessment

POLICY / COMPLIANCE / GRC

Truyo

Phoenix, AZ · An IntraEdge company

Truyo comes to AI governance from privacy operations. Its AI governance product builds the AI inventory from scans of websites, source code (GitHub, Bitbucket, Azure Repos) and SharePoint, plus surveys and vendor assessments, and tiers risk as unacceptable, high, medium or low. Coverage names the NIST AI RMF, EU AI Act, Colorado AI Act, GDPR, CCPA and India’s DPDP Act, with “+35 more”. In July 2026 it announced a compliance warranty of up to USD 1M for AI governance, underwritten by Cysurance. Truyo states it was named a Leader in the 2026 Gartner® Magic Quadrant™ for AI Governance Platforms. See Modulos vs Truyo.

Differentiator
AI inventory from code, website and document scans; privacy-operations heritage; compliance warranty up to USD 1M
Watch for
Risk is tiered qualitatively; deployment options, runtime enforcement and red-teaming are not described on its public pages
02

AI governance monitoring and observability tools

Observability platforms track drift, bias, latency, cost and hallucination rates in production.

Our view: The observability tools with the longest runway are those whose alerts open a governance workflow, such as a control re-assessment, as well as an engineering ticket.

OBSERVABILITY

Arthur AI

New York, NY · Founded 2018

Arthur moved from LLMOps monitoring to governance for the agentic development lifecycle: real-time policy enforcement, agent behaviour tracking and structured guardrails for multi-agent workflows. The shift follows the market question from model drift to whether an agent does what it should.

Differentiator
Agentic lifecycle governance; real-time policy enforcement on agent behaviour
Watch for
The repositioning may mean less investment in legacy monitoring features

OBSERVABILITY

Coralogix

Observability platform · Founded 2014

Coralogix calls itself “the data and AI platform for observability”. Its AI Center adds guardrails with prebuilt prompt-injection, PII and toxicity checks, evaluators that score quality and security, and a catalogue that flags unprotected AI applications, all in the same trace as the rest of the telemetry. Coralogix was among the ten providers evaluated in The Forrester Wave™: AI Governance Solutions, Q3 2025, raised a USD 200M Series F in June 2026, and lists SOC 2 Type II and ISO/IEC 27001 and 42001 in its trust centre.

Differentiator
Guardrails and evaluations in the same trace as application telemetry
Watch for
No governance workflow or framework mapping published; pair with a policy and compliance platform

OBSERVABILITY

Fiddler AI

Palo Alto, CA · Founded 2018

Fiddler specialises in observability and explainability for regulated industries: feature importance, counterfactual analysis, root-cause investigation and embedding visualisation. Its Trust Service adds runtime guardrails to generative applications, so one platform covers observation and enforcement.

Differentiator
Explainability depth; embedding visualisation; observation and enforcement combined
Watch for
Limited visibility into black-box vendor APIs

OBSERVABILITY

Monte Carlo

San Francisco, CA · Founded 2019

Monte Carlo built its business on data observability and now markets an “Agent Trust Platform” that monitors agent context, performance, behaviour and outputs, with agent monitors and pre-production evaluations. It was among the ten providers evaluated in The Forrester Wave™: AI Governance Solutions, Q3 2025 and holds SOC 2 Type II and ISO/IEC 27001:2022. For a governance team, it shows whether the data feeding an AI system, and the agent on top of it, stay within expected bounds.

Differentiator
Data observability extended to agent behaviour and outputs
Watch for
No inventory, risk assessment or framework mapping published
03

Runtime enforcement and guardrails

Runtime tools sit between the application and the model and check inputs and outputs against policy in real time. Article 15 of the EU AI Act asks high-risk systems for accuracy, robustness and cybersecurity, and runtime guardrails are direct evidence of it.

Our view: Guardrails tend to move to the gateway once a team adds a second model provider, so plan for gateway-level enforcement early.

RUNTIME / GUARDRAILS

Airia

Atlanta, GA · Founded 2024

Airia calls itself “the AI control plane for enterprise organizations”. It combines AI guardrails, agent constraints, an MCP gateway and red teaming with agent orchestration and, since January 2026, a governance module with AI discovery, an agent and model registry and automatic risk tiering mapped to the EU AI Act, NIST AI RMF and ISO/IEC 42001. It deploys as SaaS, in a private cloud, on premises or air-gapped, reports more than 300 enterprise customers, and holds a SOC 2 Type II report. Airia states it was named a Visionary in the 2026 Gartner® Magic Quadrant™ for AI Governance Platforms. See Modulos vs Airia.

Differentiator
Guardrails, MCP gateway, red teaming and governance on one platform; on-premises and air-gapped deployment
Watch for
Governance module launched in January 2026; framework coverage is named at headline level

RUNTIME / GUARDRAILS

AWS Bedrock Guardrails

Amazon Web Services

The default guardrails choice for AWS-native organisations: content filters for hate, insults, sexual content, violence and prompt attacks with configurable severity, PII detection across more than 50 entity types, and contextual grounding checks for RAG applications, all integrated with CloudWatch, IAM and KMS.

Differentiator
AWS-native; no operations overhead; 50+ PII entity types; grounding checks for RAG
Watch for
AWS only; limited to Bedrock-hosted models

RUNTIME / GUARDRAILS

Bifrost (Maxim AI)

San Francisco, CA

Bifrost is an open-source AI gateway that routes across more than 20 LLM providers and applies CEL-based policy rules with input and output validation. It integrates AWS Bedrock Guardrails, Azure AI Content Safety, Patronus AI and GraySwan, and runs inside your VPC so prompts stay within your boundary.

Differentiator
Open-source gateway; multi-provider guardrails; CEL rules; in-VPC deployment
Watch for
Advanced guardrail capabilities require the enterprise edition

RUNTIME / GUARDRAILS

Guardrails AI

San Francisco, CA · Founded 2023 · Acquired by Harvey in September 2026

Guardrails AI built the most widely adopted open-source framework for LLM guardrails: validators for policy violations, hallucination and data leakage that live inside the application, plus tools for synthetic data and evaluation datasets. Harvey, the legal AI company, acquired it in September 2026, and the open-source framework remains on GitHub.

Differentiator
Open-source framework; application-level control; validator ecosystem
Watch for
Acquired by Harvey in September 2026; confirm the roadmap for the open-source framework and any hosted services before you depend on them

RUNTIME / GUARDRAILS

NVIDIA NeMo Guardrails

NVIDIA

NVIDIA’s open-source toolkit adds programmable safety rails to LLM applications, written in Colang, a language for conversational flows and constraints. It runs inside the application, which suits fine-grained conversational control, and is best combined with gateway-level enforcement.

Differentiator
Colang rules; conversational flow control; NVIDIA ecosystem integration
Watch for
Application level only; requires developer integration

RUNTIME / GUARDRAILS

Relyance AI

San Francisco, CA · Founded 2020

Relyance AI approaches AI governance from data lineage. It discovers AI, classifies the data that AI touches and maps end-to-end data flows, and Relyance Guard “checks every AI action in real time” to enforce approved actions, but its public pages do not name AI regulations or a risk-assessment method. Relyance AI holds SOC 2 Type 2 and ISO/IEC 27001 and is included in the 2026 Gartner® Magic Quadrant™ for AI Governance Platforms.

Differentiator
Data-lineage view of AI behaviour; runtime guardrails tied to data classification
Watch for
No named AI frameworks or risk assessment on its public pages
04

Red-teaming and AI security tools

Red-teaming tools attack AI systems to find weaknesses; automated platforms that run in CI/CD produce repeatable, auditable evidence.

Our view: The NIST AI RMF Measure function expects adversarial testing evidence, so a governance programme without documented red-teaming results has an evidence gap.

RED-TEAMING / SECURITY

Cranium AI

Short Hills, NJ · Founded 2022

Cranium positions Cranium ONE as a combined AI security and governance platform for agents. It offers AI discovery with an AI bill of materials and shadow-AI detection, live observation of AI sessions, adversarial testing and red-teaming, and runtime verdicts that block, modify or pass AI calls, mapped to the NIST AI RMF, EU AI Act and OWASP Top 10. In May 2026 it acquired Aiceberg. Cranium was a 2025 Gartner Cool Vendor, is included in the 2026 Gartner® Magic Quadrant™ for AI Governance Platforms, and was among the ten providers evaluated in The Forrester Wave™: AI Governance Solutions, Q3 2025. See Modulos vs Cranium AI.

Differentiator
Discovery, red-teaming and runtime verdicts in one security platform; AI bill of materials
Watch for
Governance workflow depth and certifications are not documented on its own site

RED-TEAMING / SECURITY

Mindgard

London, UK · Lancaster University spin-out · Founded 2022

Mindgard runs continuous automated red-teaming against models, agents and applications, with attack-surface mapping, runtime protection and CI/CD integration, so adversarial tests run before each deployment. It covers LLM, image and multimodal models and treats jailbreaks, prompt injection, evasion and extraction as distinct threat classes.

Differentiator
Continuous automated red-teaming; multimodal coverage; attack-surface mapping; CI/CD integration
Watch for
Security-focused; pair with a Segment 1 compliance and GRC platform

RED-TEAMING / SECURITY

Palo Alto Networks Prisma AIRS

Palo Alto Networks · Includes Protect AI, acquired in July 2025

Prisma AIRS is Palo Alto Networks’ AI security platform. It carries the Protect AI technology, acquired in July 2025: pre-deployment and continuous adversarial testing of generative AI pipelines, and ML supply-chain security that scans model files for vulnerabilities and malicious artefacts.

Differentiator
ML supply-chain security; model artefact scanning; adversarial testing; part of Prisma AIRS
Watch for
Security platform; strongest inside the Palo Alto Networks portfolio

RED-TEAMING / SECURITY

Robust Intelligence (Cisco)

Acquired by Cisco

Robust Intelligence tests models during development, monitors them in production and recommends guardrails for specific model weaknesses. As part of Cisco it has distribution that standalone startups lack, and it is the natural AI security layer for enterprises already on Cisco’s security stack.

Differentiator
Cisco distribution; test-to-guardrail pipeline; security ecosystem integration
Watch for
Check current product capabilities against its pre-acquisition positioning

RED-TEAMING / SECURITY

Vijil

Menlo Park, CA · Founded 2023

Vijil provides trust infrastructure for AI agents in three modules: Diamond evaluates agents against hundreds of scenarios and produces a Trust Score, Dome enforces policy-driven guardrails at runtime, and Darwin learns from production telemetry and proposes improvements to agent instructions and code. Integrations with CrewAI, LangGraph, Google ADK and AWS AgentCore make it drop-in for common agent frameworks. Vijil is a Modulos integration partner: its Trust Score and Dome telemetry feed Modulos evidence and controls.

Differentiator
Trust Score; evaluate, protect and improve loop; agent framework integrations
Watch for
Agent-focused, without a compliance workflow; limited regulatory framework mapping

RED-TEAMING / SECURITY

Zenity

New York, NY · Founded 2021

Zenity secures AI agents across SaaS (Microsoft Copilot Studio, Salesforce Agentforce, ChatGPT Enterprise), cloud (AWS Bedrock, Azure AI Foundry) and endpoints (GitHub Copilot, Cursor, Claude Desktop), with AI security posture management and detection and response. It examines each agent’s execution path, including tool calls, memory and data access, and finds shadow agents built by citizen developers. Zenity is a Modulos partner: its agent-layer findings can be attached to Modulos controls as evidence.

Differentiator
Execution-path analysis; agent coverage across SaaS, cloud and endpoints; shadow agent discovery
Watch for
Agent security without a compliance workflow; no offensive red-teaming; strongest on Microsoft and Salesforce agents
05

Enterprise incumbents

Large platform companies have extended GRC, ITSM, privacy, ERP or model-building platforms into AI governance. They lower integration cost where you already run them, and their AI-specific depth can trail dedicated tools by a product cycle or two.

Our view: An incumbent is an integration decision: compare the cost of adding a dedicated platform with the capability gap you would accept.

ENTERPRISE INCUMBENT

Collibra

Brussels, Belgium / New York, NY · Founded 2008

Collibra governs AI from the data side, unifying data and AI governance with automated documentation and lineage. Since May and June 2026 its AI Command Center adds scheduled metadata control checks (Control Tower) and a Giskard partnership that feeds model and agent tests from CI/CD into the same control plane. Collibra states it was named a Strong Performer in The Forrester Wave™: AI Governance Solutions, Q3 2025. See Modulos vs Collibra.

Differentiator
Data and AI governance unified; metadata management depth; data lineage
Watch for
More data-centric than AI-centric; may need an AI-specific compliance tool alongside

ENTERPRISE INCUMBENT

Dataiku

New York, NY · Founded 2013 in Paris

Dataiku calls itself “the enterprise orchestration layer for building, deploying, and governing AI”. Dataiku Govern provides one inventory of datasets, models and agents, approval and sign-off workflows, drift, bias and performance monitoring, and guardrails for sensitive data and generative AI. Dataiku holds ISO/IEC 42001:2023 alongside ISO/IEC 27001, 27701 and SOC 2 Type II, and was among the ten providers evaluated in The Forrester Wave™: AI Governance Solutions, Q3 2025.

Differentiator
Governance inside the build-and-deploy workflow; ISO/IEC 42001-certified vendor
Watch for
Its governance page names no regulation templates; strongest where models are built on Dataiku

ENTERPRISE INCUMBENT

DataRobot

Boston, MA

DataRobot governs AI inside its Agent Workforce Platform: a central registry with role-based access, approval workflows and versioning, continuous monitoring, and real-time moderation of every input and output for bias, hallucination, prompt injection, toxicity and PII. In July 2026 it extended policy enforcement to on-premises, edge and air-gapped environments, aligned to the NIST AI RMF and the EU AI Act. It holds ISO/IEC 27001 and SOC 2 Type II and was among the ten providers evaluated in The Forrester Wave™: AI Governance Solutions, Q3 2025.

Differentiator
Policy enforcement across cloud, on-premises, edge and air-gapped environments
Watch for
Governance is strongest for AI built and run on DataRobot’s own platform

ENTERPRISE INCUMBENT

IBM watsonx.governance

IBM · Armonk, NY

IBM watsonx.governance governs models from IBM, OpenAI, AWS, Meta and others on any cloud or on premises. At Think 2026 IBM repositioned around a governance-first operating model with agentic monitoring, a Governance Graph linking AI assets to policies and risks, and AI risk integrated with IT, operational and continuity risk. For organisations already on Cloud Pak for Data, OpenPages or IBM Z, it plugs into existing audit and identity infrastructure. IBM states it was named a Leader in the 2026 Gartner® Magic Quadrant™ for AI Governance Platforms and in The Forrester Wave™: AI Governance Solutions, Q3 2025. See Modulos vs IBM watsonx.governance.

Differentiator
Platform-agnostic model coverage; integrated enterprise GRC; hybrid and multi-cloud
Watch for
IBM pricing and procurement complexity; heavy for smaller AI portfolios

ENTERPRISE INCUMBENT

OneTrust AI Governance

Atlanta, GA · Founded 2016

OneTrust extended its privacy and trust platform into AI governance, so teams that already use it for GDPR or CCPA inherit consent management, data mapping and vendor assessment. It provides AI use-case intake, a unified asset inventory, lifecycle checkpoints, policy enforcement, real-time monitoring and newer runtime guardrails for agents. OneTrust states it was named a Visionary in the 2026 Gartner® Magic Quadrant™ for AI Governance Platforms. See Modulos vs OneTrust.

Differentiator
Privacy and AI governance in one platform; large customer base
Watch for
AI governance is newer than the core privacy product; depth varies across capabilities

ENTERPRISE INCUMBENT

SAP AI Agent Hub

SAP · Walldorf, Germany

SAP launched AI Agent Hub at Sapphire in May 2026 as the governance layer of the SAP Business AI Platform, built on SAP LeanIX, describing it as a single command center “to discover, manage, and govern all AI agents”, SAP and non-SAP. It inventories agents, LLMs and MCP servers and runs assessments with a risk rating and compliance mappings, including the EU AI Act, at no extra cost within the platform. Parts of the hub were scheduled for the third quarter of 2026 at launch. SAP is included in the 2026 Gartner® Magic Quadrant™ for AI Governance Platforms. See Modulos vs SAP AI Agent Hub.

Differentiator
Built on SAP LeanIX architecture data; covers SAP and non-SAP agents; included in the Business AI Platform
Watch for
Launched in 2026; confirm which non-SAP agent runtimes it can enforce policy on

ENTERPRISE INCUMBENT

ServiceNow AI Control Tower

ServiceNow · Santa Clara, CA

At Knowledge 2026 ServiceNow positioned itself as “the AI agent of agents” and expanded AI Control Tower to discover, observe, govern, secure and measure every AI agent and workflow. Traceloop, acquired in March 2026, powers its runtime observability, and Action Fabric lets external agents run governed work on the ServiceNow platform. ServiceNow states it is a Leader in the 2026 Gartner® Magic Quadrant™ for AI Governance Platforms. See Modulos vs ServiceNow AI Control Tower.

Differentiator
Workflow-layer governance; Traceloop observability; Action Fabric for agents
Watch for
Requires a ServiceNow commitment; several capabilities are recent, so assess maturity for your use case

Frameworks AI governance tools must support

These four frameworks appear in most enterprise procurements. For more depth, see the guide to AI governance.

FrameworkJurisdictionTypeBindingKey obligationsWho it applies to
EU AI ActEuropean UnionRegulationYesRisk classification, conformity assessment, CE marking, post-market monitoringProviders and deployers of AI systems used in the EU
ISO/IEC 42001GlobalStandardNo (voluntary, certifiable)AI management system, risk management, governance policiesAny organisation developing or using AI
NIST AI RMFUnited StatesFrameworkNo (voluntary)Govern, Map, Measure, Manage functionsUS organisations; globally adopted
GDPREuropean UnionRegulationYesData protection, automated decision-making rights, DPIAsAny entity processing EU residents’ personal data

Test cross-framework deduplication (see the FAQ below): overlap is large between frameworks that govern AI systems, such as the EU AI Act and NIST AI RMF, and small between the AI Act and ISO/IEC 42001, which is met mostly at the organisation level.

Buyers choose between a dedicated AI governance platform, an AI module in a GRC or privacy tool they already run, and spreadsheets. Dedicated platforms bring AI-specific data models; GRC modules win on integration cost; spreadsheets rarely survive a supervisory audit.

Capability checklist for AI governance tools

These are the eleven criteria we recommend for any shortlist. Each one a platform misses becomes work your team does by hand.

01

Multi-framework support

The EU AI Act, GDPR, ISO/IEC 42001, NIST AI RMF and OWASP are supported natively in one platform, without a separate module per framework.

02

Cross-framework deduplication

One control maps to every requirement it satisfies, with shared evidence.

03

Quantitative risk scoring

Risk is expressed in money (EUR, GBP, USD) as well as in qualitative ratings, so boards can compare AI systems in decision-grade units. Among the vendors in this guide, only Modulos publishes a method that puts each AI risk in money.

04

AI system discovery

The platform finds AI systems where they are built and run and turns each find into a registry record that a person reviews.

05

Evidence automation

Agents or connectors pull evidence from where it lives, such as code repositories, cloud accounts and ticketing systems.

06

EU AI Act scoping

A built-in questionnaire classifies each AI system against Annex III and Annex I and routes high-risk systems into conformity assessment.

07

Deployment options

SaaS, private cloud and on-premise are available where data-protection rules require evidence to stay inside your network.

08

Immutable audit trail

Every control status change records who, when, which evidence and who approved it, in a form an auditor can read.

09

Vendor’s own ISO/IEC 42001 signal

The vendor holds organisational ISO/IEC 42001 certification or has passed product conformity assessment by an independent body. In this guide, Modulos holds product conformity (CertX); Collibra, Dataiku and ServiceNow hold organisational certification, and SAP states its certification covers AI systems such as Joule and SAP AI Core.

10

Agent governance

The data model treats AI agents, with their tools, memory and authority, as their own governance object.

11

Regulatory change management

The vendor maintains framework content as a service, so controls update when the EU AI Act, ISO/IEC 42001 or NIST AI RMF changes.

The 30-minute stress test

Skip the demo script and ask these six questions. They show how a product behaves under realistic conditions.

1. "Show me the audit trail behind this control status change."

Ask the vendor to change a control from "implemented" to "not implemented" and show you the immutable record: who changed it, when, what evidence was attached before and after, and who approved the change. If the audit trail is a log file rather than a first-class UI object, the product was not designed for auditors.

2. "This control satisfies both EU AI Act Article 9 and the NIST AI RMF Manage function. Show me the mapping."

Every AI governance platform claims cross-framework deduplication. Ask the vendor to show one control mapped to two frameworks with shared evidence. If each framework lives in its own module with no links between them, your team does the deduplication by hand.

3. "Quantify the residual risk of this AI system in monetary terms."

Boards and supervisors increasingly ask for AI risk in the same units as other operational risk. If the vendor produces only qualitative scores (high, medium, low), ask how a board member would compare System A with System B in an investment decision. A figure in money makes that comparison possible.

4. "Connect to our GitHub repository and find evidence that this logging control is implemented."

This separates platforms that inspect your systems from those that accept self-attestation. If the evidence workflow is "upload a PDF", the product is a document store. The tool should connect to where evidence lives: Git repositories, CI/CD pipelines, cloud consoles and documentation systems.

5. "We just deployed a new AI agent. Walk me through the governance process."

This question shows whether the data model treats agents differently from static models. Agents with tools, memory and authority to act are their own governance object. A vendor that treats them like a classification model leaves blind spots.

6. "What happens when the EU AI Act is amended?"

A platform that stores framework requirements as static lists makes you rebuild mappings each time a regulation changes. Ask how the vendor maintains framework content and how a change reaches the affected controls; the EU AI Act Omnibus in July 2026 and the EN 18286 citation in October 2026 are good test cases.

AI governance tools for specific use cases

Best AI governance platform for EU AI Act

Modulos, Credo AI, Holistic AI, Trustible and Saidot have the deepest EU AI Act coverage among the vendors here. Test Annex III classification, conformity assessment templates, Fundamental Rights Impact Assessments and post-market monitoring against the 2 December 2027 Annex III deadline, and ask which harmonised standards each one maps.

Best AI governance platform for ISO/IEC 42001

Most policy and compliance platforms here support an ISO/IEC 42001 management system. Ask separately what signal the vendor carries itself: Modulos completed ISO/IEC 42001 product conformity assessment with CertX, and Dataiku holds organisational ISO/IEC 42001 certification.

Best AI governance platform for financial services

Modulos, IBM watsonx.governance and Collibra fit most financial-services deployments, with Monitaur a specialist option for insurers. Require monetary risk quantification, model risk workflows aligned to the US guidance SR 26-2 (April 2026), which excludes generative and agentic AI, and to EBA and ECB expectations, and integration with DORA.

Enterprise AI governance tools 2026

Enterprises choose between incumbents (IBM watsonx.governance, ServiceNow AI Control Tower, OneTrust AI Governance, SAP AI Agent Hub, Collibra) and dedicated platforms (Modulos, Credo AI, Holistic AI and others). Incumbents cut integration cost, but dedicated platforms usually lead on AI-specific features such as cross-framework deduplication, monetary risk and agent governance.

Frequently asked questions about AI governance tools

An AI governance platform is a system of record for the regulatory, ethical and operational risks of AI systems across their lifecycle: the AI inventory, the applicable frameworks, the controls and the evidence in one place. "AI governance tools" is the wider buyer term, which also covers observability, runtime guardrails and red-teaming products. This guide uses "tools" for the whole market and "platform" for the policy and compliance segment.

Vendors not covered in this guide

Exclusion reflects narrower scope, an acquisition, or a segment already covered above. It is not a judgement on product quality.

  • FairNow. Acquired by AuditBoard (now Optro) in October 2025 and no longer sold on its own; its synthetic-data bias audits are moving into Optro’s AI governance module.
  • WhyLabs. Acquired by Apple in January 2025; the standalone observability product is no longer sold.
  • Asenion (formerly anch.AI + Fairly AI). Formed when Canada’s Fairly AI acquired Sweden’s anch.AI in June 2025; an ethics-led, regulation-ready option with a smaller market presence.
  • Naaia. France-based multi-framework AI compliance (EU AI Act, ISO/IEC 42001, NIST AI RMF, LNE); worth a look if your buying centre is in France or Benelux.
  • TruEra. Integrated into Snowflake and no longer sold as a standalone AI governance platform.
  • CalypsoAI. Security-first runtime guardrails; evaluate it alongside the runtime segment above.

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Methodology and disclosures

Written by Kevin Shinners, SVP Sales at Modulos, and published by Modulos AG, one of the 31 vendors in this guide. We evaluate vendors from public information: vendor websites and documentation, vendors’ own statements of their Gartner and Forrester placements, the IAPP AI Governance Vendor Report (January 2026), peer review platforms and press coverage, plus direct product experience on the Modulos side. No vendor paid for inclusion. We place vendors in segments instead of ranking them, because the best tool for a startup’s first LLM application differs from the best tool for a bank governing 500 models. Capabilities reflect public information as of 16 October 2026; we refresh the guide quarterly, and the changelog records each change.

Modulos was named in the inaugural Gartner® Magic Quadrant™ for AI Governance Platforms, published 16 June 2026 (announcement).

Gartner, Magic Quadrant for AI Governance Platforms, Lauren Kornutick, Sumit Agarwal, Priya Sundararaman, Nader Henein, Brandon Medford, 16 June 2026. GARTNER is a registered trademark and service mark, and MAGIC QUADRANT is a registered trademark, of Gartner, Inc. and/or its affiliates in the U.S. and internationally and are used herein with permission. All rights reserved. Gartner does not endorse any vendor, product or service depicted in its research publications and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.

The Forrester Wave™ is copyrighted by Forrester Research, Inc. Forrester and Forrester Wave™ are trademarks of Forrester Research, Inc. The Forrester Wave™ is a graphical representation of Forrester’s call on a market and is plotted using a detailed spreadsheet with exposed scores, weightings, and comments. Forrester does not endorse any vendor, product, or service depicted in the Forrester Wave™. Information is based on the best available resources. Opinions reflect judgment at the time and are subject to change.

Last updated 16 October 2026; next refresh 16 January 2027, or earlier when prEN 18228 and prEN 18282 are published. Related reading: EU AI Act compliance · ISO/IEC 42001 · NIST AI RMF · Guide to AI governance · Modulos vs Credo AI