Best AI Compliance Platforms in 2026: 9 Compared
Most buyers arrive asking about one regulation and leave needing four: EU AI Act, ISO/IEC 42001, NIST AI RMF and a SOC 2 that now has to cover AI. This guide compares nine platforms on multi-framework breadth — and on the split that decides fit, whether compliance is documented or proven from the runtime.
AI compliance stopped being a single-regulation problem in 2026. A regulated enterprise now carries the EU AI Act, ISO/IEC 42001 certification, NIST AI RMF alignment and a SOC 2 that auditors expect to extend over AI systems — often all four at once, mapped to overlapping controls. This guide compares nine platforms on that multi-framework surface, not on any one framework in isolation, grouped by the buyer they fit.
It is deliberately broader than our EU AI Act compliance software guide, which takes one regulation and splits the market into program tools and runtime-evidence tools. This page asks the wider question: which platform covers the most frameworks credibly, and how it produces the evidence — from questionnaires and documentation, or from what your AI systems actually did in production. Read this one for breadth, that one for EU AI Act depth.
Two anchors run through the scoring. Gartner published its inaugural Magic Quadrant for AI Governance Platforms on June 16, 2026, and we cite those positions where a vendor appears in it. And the EU AI Act timeline now runs on the Digital Omnibus agreement of May 7, 2026: high-risk obligations phase in from December 2027 and August 2028, while Article 50 transparency obligations kept their August 2, 2026 date. Any shortlist built on the old timeline is out of date.
What counts as AI compliance platforms in 2026
An AI compliance platform earns the label by helping across four obligations for every framework it supports: classify each AI system's risk and your role; document the policies, risk assessments and technical files a framework requires; operate the controls that documentation promises; and evidence — produce audit-ready proof, on demand, that all of it happened. What separates the nine platforms here is how many frameworks they cover credibly, and which of those four obligations they are actually strong at.
The market sorts into four families. Broad governance suites (Credo AI, IBM watsonx.governance, OneTrust, Holistic AI) cover the widest framework catalogs — EU AI Act, ISO 42001, NIST AI RMF and more — with control mapping, workflows and audit documentation. Certification-automation platforms approach AI from the SOC 2 tradition: Vanta extends continuous evidence collection from ISO 27001 and SOC 2 into ISO 42001 and EU AI Act readiness. EU-native specialists (Saidot, trail, Modulos) go deep on European regulation for mid-size buyers. And runtime-evidence platforms sit in the AI data path and generate operational proof — this is where Kosmoy sits, with a narrower framework catalog but a different kind of evidence behind it.
The distinction that matters most across all four families is documented versus proven. A program suite can hold a record that a control exists; a runtime platform can show the control fired on a specific request. Multi-framework breadth on paper is common; breadth backed by evidence that a policy was enforced — not just written down — is rare, and auditors increasingly ask for the second kind. That is why the strongest submissions pair a broad documentation suite with a runtime-evidence layer.
A word on how Kosmoy appears in its own guide. It is not a legal-workflow suite and does not pretend to the widest catalog: no questionnaire engine, no fundamental-rights-assessment templates, no SOC 2 certification automation. What it has is a live AI inventory with automated EU AI Act risk classification, policy bundles for the EU AI Act, ISO/IEC 42001 (aligned, not certified) and NIST AI RMF, and evidence exports generated from the same registries and gateway logs that enforce the policy — the operational layer the documentation suites assume already exists.
How we scored the field
Every product is scored 0–10 on the same ten capability axes. A 10 is reserved for categorical architectural facts; specialists are expected to outscore platforms on their own spoke, and the scores show it.
Compliance & Audit
Breadth and depth across frameworks — EU AI Act, ISO/IEC 42001, NIST AI RMF and SOC 2 — including risk classification, control mapping, technical documentation and audit-ready evidence. The heaviest-weighted axis on this page.
AI Inventory & Discovery
Whether the platform can build and maintain the register of AI systems, models and agents the frameworks attach to — ideally by discovery, not just intake forms.
Observability & FinOps
Logging and monitoring that can show what AI systems did in production — the record-keeping frameworks expect for post-market monitoring.
Gateway & Policy Control
A runtime enforcement point on AI traffic. Workflow-only tools score 0-2 here by design — a category fact, not a criticism — but it also caps how much evidence they can generate themselves.
Guardrails & Runtime Safety
In-line blocking of PII leakage, prompt injection and policy violations — controls a framework's risk-management obligations expect to see operating, not just documented.
Agent Containment
Isolation and kill-switch capability for autonomous agents — relevant to human-oversight obligations for agentic systems.
Security & Shadow AI
Shadow-AI discovery and posture — unregistered AI is unclassified AI, and unclassified AI is a compliance gap.
Testing, Evals & Red-teaming
Testing, validation and red-teaming that feed accuracy and robustness documentation across frameworks.
Agent Building
Largely out of scope for this category; noted where a vendor offers it.
Deployment Sovereignty
Where the platform runs. For regulated buyers a SaaS-only compliance tool can itself become a data-transfer question; self-hosted and air-gap options score high.
The field, scored
| Capability (0–10) | Kosmoy | Credo AI | Holistic AI | OneTrust AI Governance | IBM watsonx.governance | Vanta | Saidot | trail (trail GmbH) | Modulos |
|---|---|---|---|---|---|---|---|---|---|
| AI Inventory & Discovery | 9 | 8 | 8 | 8 | 9 | 2 | 6 | 5 | 5 |
| Security & Shadow AI | 8 | 3 | 7 | 6 | 6 | 2 | 1 | 1 | 1 |
| Observability & FinOps | 7 | 3 | 3 | 2 | 8 | 0 | 1 | 2 | 1 |
| Gateway & Policy Control | 8 | 1 | 4 | 3 | 2 | 0 | 0 | 0 | 0 |
| Guardrails & Runtime Safety | 8 | 1 | 7 | 5 | 3 | 0 | 0 | 0 | 0 |
| Agent Containment | 9 | 1 | 6 | 1 | 2 | 0 | 0 | 0 | 0 |
| Compliance & Audit | 9 | 9 | 9 | 9 | 9 | 7 | 8 | 7 | 8 |
| Testing, Evals & Red-teaming | 4 | 4 | 8 | 2 | 8 | 0 | 2 | 1 | 2 |
| Agent Building | 6 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 |
| Deployment Sovereignty | 10 | 2 | 4 | 2 | 7 | 1 | 1 | 1 | 6 |
Bold marks the highest score on each row. 10 is reserved for categorical architectural facts; specialists are expected to outscore platforms on their own spoke.
Capability shape, vendor by vendor
Each panel shows one vendor across the same ten axes. Read it as area: a specialist climbs on its own spoke and falls away on the rest; a platform holds the frontier. The dashed outline is Kosmoy for reference.
The vendors, by buyer type
No single 1-to-N ranking survives contact with a real shortlist — the right pick depends on who is buying. Each vendor below is labeled with the buyer it fits best.
Kosmoy
AI management platformRuntime evidence across EU AI Act, ISO 42001 and NIST AI RMF
A self-hosted control plane for enterprise AI: one inventory, one policy gateway, one audit trail and a containment sandbox for every model, agent and MCP server a company runs.
Kosmoy is the runtime-evidence entry. Every AI system sits in a registry with an owner and an automated EU AI Act risk classification; every call crosses a gateway that enforces guardrails, RBAC and budgets; and the compliance module exports evidence bundles — EU AI Act, ISO/IEC 42001 (aligned, not certified) and NIST AI RMF — from that single event stream. Because it is single-tenant software in the customer's own Kubernetes, air-gapped if required, the compliance layer itself raises no data-residency question. Italy's central bank and banking regulator and Europe's largest defence and aerospace group run it in production.
It concedes framework breadth honestly. There is no questionnaire engine, no fundamental-rights-assessment templates and no regulator-facing report designer; it does not automate SOC 2 or NYC Local Law 144; and it ships no eval or red-teaming suite. Its compliance score reflects depth across three frameworks proven from the runtime, not the widest catalog on the page. Pair Kosmoy with a documentation suite for the program work.
Strengths
- Four registries — AI systems, models, MCP servers and a master agent registry that pulls agents from Azure AI Foundry, Bedrock, Vertex, Salesforce and ServiceNow into one list.
- One OpenAI-compatible gateway enforcing guardrails, RBAC, budgets and logging on every LLM, MCP and A2A call.
- Action Capsule: kernel-enforced sandboxing for agents, MCP servers and private models, with per-task credentials and a kill switch.
Limits
- No dedicated evaluation or red-teaming suite — teams pair Kosmoy with a specialist evals tool.
- The agent builder covers governed internal use cases; dedicated agent-development platforms go deeper.
- No free or self-service tier — procurement runs through an enterprise sales process.
Credo AI
AI governance, risk & compliance platformThe broadest multi-framework program of record
Credo AI is a SaaS AI-governance platform that inventories AI systems, agents and vendors, applies regulation-derived Policy Packs (EU AI Act, NIST AI RMF, ISO 42001) and produces risk assessments and audit-ready compliance evidence.
Credo AI is the reference multi-framework suite: Policy Packs translate the EU AI Act, NIST AI RMF, ISO 42001, SOC 2 and NYC Local Law 144 into controls, the intake workflow classifies systems and determines entity roles, and fundamental-rights impact assessments and CE-marking support are built in. It adds vendor-risk tooling most rivals lack and an Agent Registry for agentic systems. A Forrester Wave Leader (Q3 2025) and a Visionary in Gartner's 2026 Magic Quadrant (Credo AI).
It is SaaS-only with no vendor-documented self-hosting, and its own May 2026 GAIA announcement places runtime enforcement on the roadmap rather than in the product — so evidence that a control operated must come from integrations, not from Credo AI's own data path. Breadth of documentation is the strength; runtime proof is the gap.
Strengths
- Named a Leader in The Forrester Wave: AI Governance Solutions, Q3 2025, with the highest possible scores in 12 criteria including AI Policy Management and AI Regulatory Compliance Audit (announcement).
- A Visionary in the inaugural Gartner Magic Quadrant for AI Governance Platforms (June 16, 2026), and No. 6 in Applied AI on Fast Company's Most Innovative Companies of 2026 (recognition page).
- Deep regulation-to-control translation: Policy Packs for the EU AI Act, NIST AI RMF, ISO 42001, SOC 2 and NYC Local Law 144, with intake-based risk classification, fundamental-rights impact assessments and CE-marking support (EU AI Act tooling).
Limits
- No shipped runtime enforcement — no gateway, in-line guardrails or agent containment as of July 15, 2026; Credo AI's own GAIA GA announcement (May 2026) describes runtime governance ('policy enforcement and intervention at the point of use') as next on its roadmap.
- SaaS-first: no vendor-documented self-hosted or air-gapped deployment option as of July 15, 2026; third-party sources conflict on private-cloud availability.
- No public pricing — enterprise quotes only, with no free tier or self-serve evaluation path.
Holistic AI
AI governance platform with audit & red-teaming heritageMulti-framework compliance with genuine audit and red-team heritage
Holistic AI is a London-founded AI governance platform that grew out of algorithm-audit work (NYC Local Law 144 bias audits) into org-wide AI inventory, risk assessment, red-teaming and EU AI Act / ISO 42001 compliance — adding runtime enforcement in 2026 through its Guardian Agents.
Holistic AI pairs EU AI Act, ISO 42001, NIST AI RMF and NYC Local Law 144 frameworks — control mapping, gap analysis, evidence collection — with something rarer: a real audit practice (NYC LL144 bias audits, EU Digital Services Act audits) and published jailbreak audits of frontier models. Its 2026 Guardian Agents add runtime response actions including a kill switch, and Gartner placed it as a Challenger in the 2026 Magic Quadrant (Holistic AI).
The runtime layer is new relative to its GRC and audit core, there is no LLM gateway or FinOps data path, and on-prem options are thinly documented. It is the strongest choice when the compliance program needs an accredited audit capability behind it, not just software.
Strengths
- Deep regulatory coverage: built-in EU AI Act, NIST AI RMF, ISO 42001 and NYC Local Law 144 frameworks with automated control mapping, gap analysis and audit-ready evidence collection (EU AI Act readiness).
- Genuine audit heritage: a purpose-built NYC Local Law 144 bias-audit practice recognized in the UK government's AI assurance techniques portfolio, plus EU Digital Services Act audits and conformity assessments (GOV.UK listing).
- Credible red-teaming: publicly published jailbreak audits of frontier models such as Claude 3.7 Sonnet and Grok-3, jailbreak-resistance testing for platform users, and the LLM Decision Hub for evidence-based model selection (published audit).
Limits
- No documented LLM gateway — no routing, model failover, budgets or traffic-level RBAC as of July 15, 2026; the runtime data path is limited to AI Safeguard input/output filtering and Guardian Agent interventions.
- No FinOps or cost observability: token-spend tracking, cost attribution and traces are not documented.
- No agent-building capability — it governs AI built elsewhere, and Guardian Agents are Holistic AI's own governance agents, not customer sandboxing.
OneTrust AI Governance
AI governance module of a privacy/GRC suiteMulti-framework AI compliance inside an existing privacy/GRC estate
The AI governance module of the OneTrust privacy/GRC suite: org-wide AI and agent inventory, assessment workflows and EU AI Act compliance automation, plus an SDK-based runtime layer (AI Guard) that OneTrust scopes to development and testing workloads.
For the roughly 14,000 organizations already running OneTrust for privacy, its AI Governance module is the shortest path to multi-framework coverage: assessment templates with automated control mapping to the EU AI Act, ISO 42001 and NIST AI RMF, automatic risk re-classification when models or data change, and agent discovery across AWS Bedrock, Azure AI Foundry and Vertex AI (GA Spring 2026). Gartner named it a Visionary in the 2026 Magic Quadrant (OneTrust).
Its runtime story is still emerging: AI Guard, the SDK-based blocking layer, is scoped by OneTrust's own docs to development and testing workloads, and broader AI Guardrail Enforcement is public preview as of July 15, 2026. SaaS-only, gateway-less — deep framework breadth with runtime ambitions not yet at production scale.
Strengths
- A very large installed base to attach AI governance to: roughly 14,000 customers and a reported ~$500M ARR on the OneTrust privacy/GRC platform (company profile).
- Deep compliance automation: EU AI Act, ISO 42001 and NIST AI RMF templates with automated control mapping, regulatory updates and automatic risk re-classification when models, data or agents change (EU AI Act solution).
- Agent Detection across AWS Bedrock, Azure AI Foundry and Google Vertex AI feeding a searchable org-wide agent inventory — generally available in the Spring '26 release (Winter '26 release blog).
Limits
- AI Guard, the runtime blocking layer, is scoped by OneTrust's own docs to development and testing workloads — 'not recommended for large classification volumes generally seen in externally facing AI applications or agents' — so production-scale runtime enforcement is not documented as of July 15, 2026.
- No LLM gateway capabilities: model routing, token/cost tracking, rate limiting and model-level RBAC on LLM traffic are not documented as of July 15, 2026.
- SaaS-only: no self-hosted, customer-VPC or air-gapped deployment of the platform documented.
IBM watsonx.governance
AI governance & model risk management platformBank-grade multi-framework compliance at suite scale, on-prem or air-gapped
IBM's AI governance platform inventories, documents (AI Factsheets), evaluates and monitors ML, generative and agentic AI across any vendor stack, wired into OpenPages-heritage model-risk workflows and compliance accelerators for the EU AI Act, ISO 42001 and NIST AI RMF.
IBM watsonx.governance is the Leader pick for heavyweight programs: OpenPages-heritage model-risk workflows banks already trust (SR 11-7), AI Factsheets documenting models across vendor stacks, and compliance accelerators for the EU AI Act, ISO 42001 and NIST AI RMF — including Credo AI Policy Packs as an add-on. IBM took a Leader position in Gartner's June 2026 Magic Quadrant (IBM), and its sovereignty is unmatched among the suites — SaaS, or self-managed on-prem via Cloud Pak for Data with air-gapped installs, plus FedRAMP Moderate on AWS GovCloud.
It does not sit in the request path — no gateway, no in-line blocking — shadow-AI discovery requires the separate Guardium AI Security product, and packaging that spans watsonx.governance, OpenPages, Guardium and Orchestrate is a recurring buyer complaint. Deepest program and most sovereign deployment; runtime enforcement lives in other products.
Strengths
- Named a Leader in the first-ever Gartner Magic Quadrant for AI Governance Platforms (June 16, 2026, 13 vendors assessed) (IBM announcement).
- Automated AI Factsheets and multi-vendor inventory: model and prompt metadata, metrics, health scores and lineage captured across the lifecycle for models on watsonx.ai, SageMaker, Bedrock, Vertex and Azure (model governance page).
- Unmatched model-risk heritage: OpenPages Model Risk Governance brings SR 11-7-grade workflows — inventory centralization, RCSA, approvals, risk scorecards — that banks already run, extended to generative AI and agents (OpenPages MRG docs).
Limits
- No in-line AI gateway or runtime traffic enforcement: watsonx.governance does not sit in the request path to broker or block AI traffic; enforcement runs through lifecycle workflows, evaluations and threshold alerts, with runtime blocking delegated to watsonx.ai guardrails or watsonx Orchestrate — separate products.
- Shadow-AI discovery and AI security metrics require the separate IBM Guardium AI Security product, surfaced in the watsonx.governance console via integration — extra licensing and deployment complexity.
- No documented FinOps or AI-spend management (token/cost tracking, budget policy), and no agent sandboxing or containment primitives — agentic coverage is monitoring and evaluation.
Vanta
Compliance-automation platform with AI-framework modules (ISO 42001 / EU AI Act / NIST AI RMF)SOC 2-style continuous evidence extended to ISO 42001 and EU AI Act
Vanta is a general compliance-automation ('trust management') platform whose AI-relevant scope is dedicated framework products for ISO/IEC 42001, the EU AI Act and NIST AI RMF, with automated evidence collection and cross-framework control reuse — not a dedicated AI governance or runtime AI-control platform.
Vanta is the certification-automation entry — the SOC-2-for-AI approach made explicit. It shipped the first major ISO 42001 framework product (March 2024), holds the certificate itself (April 2025), and its EU AI Act and NIST AI RMF products reuse evidence collected across 375+ integrations, so ISO 27001 and SOC 2 controls carry forward into AI frameworks with minimal duplicate work (Vanta). If the board's instruction is 'get us ISO 42001 certified and EU AI Act-ready with the tooling we already run', this is the pragmatic answer, and reviewers rate its EU AI Act support among the most complete in compliance automation.
It is a certification and audit-readiness tool, not an AI-governance operating system: no deep AI risk-classification workflow, no AI inventory to speak of, no runtime controls, and multi-tenant SaaS only. It does not appear in the 2026 Gartner Magic Quadrant for AI Governance Platforms — a different category by design.
Strengths
- First major compliance-automation vendor to ship an ISO 42001 framework (March 2024), and itself ISO 42001-certified since April 2025 (third-party review).
- Automated AI-governance evidence collection across 375+ integrations, continuously mapped to ISO 42001 clauses and Annex A controls (ISO 42001 product).
- Cross-framework reuse: ISO 42001 evidence applies to the EU AI Act, NIST AI RMF, CPS 234 and more, reducing duplicate audit work (ISO 42001 and EU AI Act).
Limits
- A certification and audit-readiness tool, not an AI-governance operating system: no AI use-case intake, deep EU AI Act risk-classification workflow, model documentation generation or regulator-facing transparency reporting comparable to dedicated platforms.
- No runtime AI controls of any kind — gateway, guardrails, observability or containment — as of July 15, 2026.
- Third-party reviews note some EU AI Act / ISO 42001 evidence still requires manual collection despite automation claims.
Saidot
Graph-based AI governance SaaS (EU AI Act focus)Curated multi-framework knowledge graph for European buyers
A Finnish AI governance SaaS platform built around a curated knowledge graph of AI risks, controls and policies, used by enterprises and public organisations to manage AI risk and demonstrate EU AI Act, ISO 42001 and NIST AI RMF compliance.
Helsinki-based Saidot encodes the regulatory landscape as a graph — 260+ risks, 620+ controls, 110+ policies — and auto-recommends the ones that apply to each system, agent or dataset you register, spanning the EU AI Act, ISO 42001, NIST AI RMF and 100+ other frameworks. Transparency reports publish directly from governance documentation, native Azure AI Foundry and Bedrock integrations pull in metadata, and Gartner placed it as a Niche Player in the 2026 Magic Quadrant (Saidot).
It is a small company (seed-funded), SaaS-only, and offers no runtime data path — classification and documentation across many frameworks, not enforcement or runtime evidence.
Strengths
- A curated regulatory knowledge graph — 260+ AI risks, 620+ controls, 110+ policies and 170+ third-party AI models — that auto-recommends applicable risks and controls per AI system (Saidot).
- Strong EU AI Act depth (handbooks, guided classification, transparency reporting) from a Helsinki-based team close to EU regulation (AI Act handbook).
- Agent-first positioning: governs agents alongside models, systems and datasets in one connected graph, with native metadata integrations for Azure AI Foundry and Amazon Bedrock plus a REST API and webhooks.
Limits
- No runtime data path: gateway, runtime guardrails and agent containment are not offered as of July 15, 2026.
- SaaS-only; does not document a self-hosted or air-gapped deployment as of July 15, 2026.
- Small vendor by disclosed funding (~€1.75M seed) relative to US competitors.
trail (trail GmbH)
EU AI Act-focused AI governance copilot / GRC automationAuto-generated technical documentation for European teams (DACH)
trail is a Munich-based AI governance platform — a 'copilot for AI governance' — providing an AI use-case registry, guided EU AI Act risk classification and automated technical documentation generated from connected development environments.
Munich-based trail attacks the most tedious framework obligation: technical documentation. It connects to development environments, extracts ML metadata and generates — then maintains — the technical files, alongside guided EU AI Act classification, conformity support and ISO 42001 alignment. For German and wider-DACH teams that want documentation produced from engineering reality rather than written about it, it is the most distinctive tool here (trail).
It is pre-seed-stage, SaaS-only, and has no runtime, discovery or enforcement capability, and its framework catalog is narrower than the broad suites — a focused documentation copilot, strongest on the EU AI Act, not a multi-framework platform.
Strengths
- A developer-adjacent differentiator: connects development environments and knowledge sources, extracts ML metadata and auto-generates — and keeps current — EU AI Act technical documentation (documentation product).
- Deep EU AI Act workflow: guided classification of use cases, high-risk identification, requirement and control mapping, and conformity assessment support; trail claims up to 80% compliance-time savings (EU AI Act page).
- Governance agents that automate compliance busywork such as vendor screening and audit documentation preparation (product).
Limits
- Very early stage: a €1.45M pre-seed (July 2024) and small team; enterprise scalability is publicly unproven.
- No runtime data path: no gateway, runtime guardrails or agent containment documented as of July 15, 2026.
- No automated shadow-AI discovery — the registry is populated by workflow, not detection.
Modulos
AI governance & EU AI Act compliance platformISO 42001-certified product, deployable on-prem
Modulos is a Zurich-based AI governance platform that automates risk and compliance workflows for the EU AI Act, ISO/IEC 42001 and NIST AI RMF, with cloud, on-premises and hybrid deployment and an ISO 42001 product-conformity certification.
Zurich-based Modulos holds a card no other program tool here shows: it was the first AI governance platform to achieve ISO 42001 product-conformity certification — the product itself assessed against the standard it helps you meet — and it documents cloud, on-premises and hybrid deployment, so the workflow can run inside a regulated perimeter. Framework automation covers the EU AI Act, ISO/IEC 42001 and NIST AI RMF, and a free Starter plan lowers the entry bar (Modulos).
It remains an early-scale vendor (CHF 8.7M pre-Series A) with no runtime data path and no shadow-AI discovery — but for a European buyer who wants a certified product they can host themselves, it is a rare combination.
Strengths
- The first AI governance platform to achieve ISO 42001 product-conformity certification — the product itself, not just the company, has been assessed against the standard (press release).
- Documented on-premises and hybrid deployment options — rare in the AI-governance GRC category, where SaaS-only is the norm (platform page).
- Swiss provenance and an EU AI Act focus positioned for European regulated buyers, with framework coverage spanning the EU AI Act, ISO/IEC 42001 and NIST AI RMF.
Limits
- No runtime data path: no gateway, runtime guardrails or agent containment documented as of July 15, 2026.
- No org-wide shadow-AI discovery or AI security posture capability documented.
- Early-scale company (pre-Series A, CHF 8.7M) versus suite vendors such as IBM or OneTrust.
Questions buyers ask
How is this different from your EU AI Act compliance software guide?
This guide judges platforms on multi-framework breadth — EU AI Act, ISO 42001, NIST AI RMF and SOC 2 together — and on whether they document compliance or prove it from the runtime. Our [EU AI Act compliance software guide](/resources/blog/best-eu-ai-act-compliance-software-2026/) takes the single regulation and splits the same market into program tools and runtime-evidence tools. Read this one for a multi-framework program; read that one for EU AI Act depth specifically.
Which platform covers the most compliance frameworks?
Among the broad suites, Credo AI, IBM watsonx.governance and OneTrust cover the widest catalogs — EU AI Act, ISO 42001, NIST AI RMF, SOC 2 and, for Credo AI and Holistic AI, NYC Local Law 144. IBM adds SR 11-7 model risk for banks. Vanta is the strongest at extending SOC 2 and ISO 27001 evidence into ISO 42001 and EU AI Act readiness. Kosmoy covers a narrower set — EU AI Act, ISO 42001 (aligned) and NIST AI RMF — but generates the evidence from the runtime rather than from questionnaires.
Is Kosmoy an AI compliance platform?
It is the runtime-evidence kind. Kosmoy classifies AI systems by risk in a live registry, enforces policy at a gateway, and exports EU AI Act, ISO/IEC 42001 (aligned, not certified) and NIST AI RMF evidence bundles from its logs. It is not a legal-workflow suite: no fundamental-rights-assessment templates, questionnaire engines or SOC 2 certification automation, and a narrower framework catalog than the documentation suites. Teams that need both typically pair Kosmoy with a program suite such as Credo AI, IBM or OneTrust.
Which tool is best for ISO 42001 certification?
Vanta, in most cases — it shipped the first major ISO 42001 framework product, automates evidence across 375+ integrations, holds the certificate itself, and reuses that evidence for EU AI Act and NIST AI RMF readiness. Modulos is the strongest alternative when the platform itself must be certified (its ISO 42001 product-conformity certification) or must run on-premises. Kosmoy is ISO 42001 aligned — its features map to the standard's controls — but it is not a certification-workflow tool.
Did the Digital Omnibus change AI compliance deadlines?
For the EU AI Act, yes. Under the agreement reached on May 7, 2026, the obligations for high-risk AI systems were rescheduled to phase in from December 2027, with the remainder following in August 2028. The Article 50 transparency obligations — including disclosing to users that they are interacting with an AI system — were not moved and applied from August 2, 2026. ISO 42001, NIST AI RMF and SOC 2 have their own timelines and were unaffected, and the reprieve does not extend to building your AI inventory, the slowest step in every program.
Can I run Credo AI or IBM together with Kosmoy?
Yes, and it is the pairing this page recommends. The program suite holds the multi-framework classifications, assessments and regulator-facing documentation; Kosmoy supplies the operational layer those documents describe — enforced guardrails, gateway logs, live inventory state — and exports the evidence the suite references. There is no data-path conflict because the documentation suites do not have one; IBM even offers Credo AI Policy Packs as an add-on, showing how naturally the layers compose.
Methodology
Every vendor claim traces to documentation, product pages or analyst material accessed on July 15, 2026 and listed in Sources; capability gaps are phrased as 'not documented as of' that date. Gartner positions cite the inaugural Magic Quadrant for AI Governance Platforms published June 16, 2026, in which IBM, ServiceNow and Truyo were named Leaders — ServiceNow and Truyo are not profiled here as no dedicated dossier was built for them.
Radar scores are shared across all Kosmoy comparison pages, so a vendor scores identically here and on the AI governance platforms guide. Compliance is the heaviest-weighted axis and rewards breadth backed by evidence: the broad suites and Kosmoy all score 9, but for different reasons — the suites for framework catalog and workflow depth, Kosmoy for runtime evidence across three frameworks. Workflow-only tools score 0-2 on gateway, guardrails and containment by rule, reflecting architecture rather than quality, and Kosmoy's own radar concedes evals to IBM and Holistic AI and observability depth to IBM.
All EU AI Act dates reflect the Digital Omnibus agreement of May 7, 2026. Disclosure: Kosmoy publishes this guide and names competitors for three of the four buyer types; see also AI compliance on Kosmoy and ISO 42001 AI governance with Kosmoy.
Sources
Every factual claim about another vendor on this page traces to that vendor's own published material or a named third-party source below.
- European Commission — Digital Omnibus (AI Act timeline amendments) — accessed July 15, 2026
- IBM named a Leader in the 2026 Gartner Magic Quadrant for AI Governance Platforms — accessed July 15, 2026
- Credo AI EU AI Act tooling and Policy Packs — accessed July 15, 2026
- Holistic AI — EU AI Act readiness and multi-framework coverage — accessed July 15, 2026
- OneTrust EU AI Act compliance solution — accessed July 15, 2026
- Vanta ISO 42001 framework product — accessed July 15, 2026
- Modulos ISO 42001 product-conformity certification — accessed July 15, 2026
- Kosmoy AI Compliance — EU AI Act, ISO/IEC 42001, NIST AI RMF policy bundles — accessed July 15, 2026
- Kosmoy Platform — accessed July 15, 2026
- Kosmoy AI Gateway — accessed July 15, 2026
- Kosmoy Action Capsule — accessed July 15, 2026
- Credo AI homepage — accessed July 15, 2026
- GAIA general availability announcement (May 13, 2026 — runtime-governance roadmap statement) — accessed July 15, 2026
- Credo AI Agent Registry — accessed July 15, 2026
- Forrester Wave: AI Governance Solutions, Q3 2025 — Credo AI named a Leader (Businesswire) — accessed July 15, 2026
- Gartner Magic Quadrant for AI Governance Platforms 2026 — Credo AI recognition page — accessed July 15, 2026
- Credo AI Python SDK launch (January 2026) — accessed July 15, 2026
- WorkOS — Credo AI runtime-gap analysis (third party) — accessed July 15, 2026
- AWS Marketplace listing (SaaS) — accessed July 15, 2026
- Holistic AI homepage — accessed July 15, 2026
- Holistic AI Governance Platform — accessed July 15, 2026
- Guardian Agents product page — accessed July 15, 2026
- Gartner Market Guide for Guardian Agents — Representative Vendor (March 2026) — accessed July 15, 2026
- Gartner Magic Quadrant for AI Governance Platforms 2026 — Holistic AI recognition — accessed July 15, 2026
- Claude 3.7 Sonnet jailbreaking audit — accessed July 15, 2026
- GOV.UK AI assurance techniques — Holistic AI NYC bias audits — accessed July 15, 2026
- holisticai open-source library (GitHub, Apache-2.0) — accessed July 15, 2026
- OneTrust AI Guard docs (developer portal) — accessed July 15, 2026
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