From Shubhi K | Product & Market Analysis
AI Compliance Software Compared: Where Vanta, Drata and Credo AI Stop Automating
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Vanta says the EU AI Act spans more than 150 controls, 16 policies and dozens of required artefacts. Drata, its closest rival, does not list the EU AI Act among its 30-plus pre-built frameworks at all. If you are shortlisting AI compliance software, that gap is the first thing to check. It is not the last, and it is not the most expensive one.
Key takeaways
- Only one of the three vendors publishes a dedicated page for all three AI frameworks. Vanta documents ISO 42001, the EU AI Act and NIST AI RMF; Drata documents ISO 42001 and NIST AI RMF; Credo AI ships all three as policy packs.
- The GRC platforms automate the evidence they already collected for SOC 2. Drata says its SOC 2, ISO 27001 and privacy frameworks covered roughly 35% to 40% of ISO 42001 requirements before any AI-specific work began.
- The AI-specific evidence is mostly written by people, not pulled by connectors. Impact assessments, risk classification, human oversight design and model documentation have no API to poll in any of the three products.
- None of the three publishes a price. Buyer-reported medians collected by Vendr sit near $20,000 a year for Vanta and $24,934 for Drata, and Vendr shows no pricing data at all for Credo AI.
The short answer
Pick Vanta if you need one GRC platform that names all three AI frameworks today. Pick Drata if ISO 42001 and NIST AI RMF cover your obligations and you already run it for SOC 2. Pick Credo AI if your hardest problem is knowing which AI systems exist and how risky each one is. None automates the AI judgement work.
What AI compliance software actually automates
AI compliance software is a category with two parents. One is GRC automation: governance, risk and compliance tools that connect to your cloud, identity provider and code repositories and test controls continuously. The other is AI governance: tools built to inventory models and agents, classify their risk and document how each one was built and tested.
Vanta and Drata come from the first parent. They made their names on SOC 2 and ISO 27001, where most evidence is a configuration setting that an API can read. Credo AI comes from the second parent. It was built around the AI system itself, and it treats security frameworks as one more policy pack.
A GRC platform is excellent at proving your production database is encrypted. It has no connector that proves your hiring model was tested for disparate impact. An AI governance platform can structure that test and store the result, but it was not designed to run hourly checks against your AWS account.
The three frameworks in this comparison also do different jobs. ISO/IEC 42001 is a certifiable management system standard, audited by a third party. The NIST AI Risk Management Framework, released by NIST on 26 January 2023, is voluntary guidance with no certificate. The EU AI Act is binding law with fines.
Framework coverage: who supports ISO 42001, the EU AI Act and NIST AI RMF
We checked each vendor's public product pages, help centre and announcements on 20 October 2026. "Documented" below means the vendor publishes a page for that framework describing mapped controls or a policy pack. It does not mean the mapping is complete or correct, which no public source lets you test.
| Framework | Vanta | Drata | Credo AI |
|---|---|---|---|
| ISO/IEC 42001 | Documented. Generally available since March 2024, launched with 70 new controls | Documented. Support announced 25 January 2025 | Documented as a policy pack with audit-ready evidence generation |
| NIST AI RMF | Documented on a dedicated product page. No launch date published | Documented on a dedicated framework page. No control count published | Documented as a policy pack |
| EU AI Act | Documented. Support announced October 2024, with risk classification of AI systems | Not listed on the frameworks page. The expected URL returns a 404 | Documented as a policy pack |
| SOC 2 and ISO 27001 | Core product | Core product | SOC 2 listed as a policy pack |
| AI system inventory | Risk-level classification of AI systems inside the EU AI Act framework | AI risks tracked in the risk register. No separate registry documented | Core product: registry, agent cards, shadow AI detection |
Vendors shipped AI frameworks ahead of the law, and the law has since moved. The EU's AI Omnibus, Regulation (EU) 2026/1744, entered into force on 27 July 2026. It pushed Annex III high-risk obligations to 2 December 2027 and Annex I product obligations to 2 August 2028.
On 19 October 2026 the Commission published the first harmonised standard under the Act, EN 18286:2026 on quality management systems. A standard like that gives a presumption of conformity with Article 17.
Vanta: the GRC engine stretched to cover AI frameworks
Vanta has the widest documented coverage of the three. It made ISO 42001 generally available on 28 March 2024, three months after the standard's publication, and said the release came with 70 new controls. Its EU AI Act support followed in October 2024, and a NIST AI RMF product page now sits alongside both.
What Vanta automates for ISO 42001
The ISO 42001 product page describes three automated layers. Connectors to cloud, identity, version control and generative AI tools such as OpenAI collect configuration and access evidence. Automated tests monitor those controls hourly. Document and policy templates, mapped controls and AI-specific risk scenarios fill in the rest.
If your AI system runs on infrastructure Vanta already watches for SOC 2, the access reviews, encryption checks and change management evidence carry straight across. The third layer is a template: a starting point for work, not a substitute for it.
The EU AI Act framework and its 150 controls
Vanta's EU AI Act page says the regulation spans over 150 controls, 16 policies and dozens of required artifacts. It also offers classification of AI systems by role and risk level, which is the first decision the Act forces on you. Are you a provider or a deployer, and is the system high-risk?
As a structured questionnaire, it saves time. It is still your answer to a legal question. Treat Vanta's output here as a draft for counsel to sign. Misclassifying an Annex III system can bring fines of up to EUR 15 million or 3% of worldwide turnover.
The page displays overlap figures of 50% with ISO 42001 and 20% with NIST AI RMF. No method for those numbers is published, so read them as a direction, not a measurement. They do make one point worth keeping: the EU AI Act is the framework where your existing controls help least.
Drata: ISO 42001 and NIST AI RMF, with no EU AI Act framework listed
Drata announced full support for ISO 42001 on 25 January 2025, ten months after Vanta. Its frameworks page, which advertises more than 30 pre-built frameworks, also lists NIST AI RMF with a dedicated page. It lists NIS 2 and the EU Cyber Resilience Act. It does not list the EU AI Act, and the URL pattern Drata uses for other frameworks returns a 404 for it.
What the 35% to 40% overlap actually tells you
The most useful number here comes from Drata's own certification. In December 2025 the company wrote that its SOC 2, ISO 27001 and privacy frameworks covered approximately 35% to 40% of ISO 42001 requirements before the AI-specific work began. It also described a risk library holding more than 20 common AI-related risks.
Even for a compliance software company with mature security controls and its own product, roughly 60% of ISO 42001 was new ground. The clause-by-clause work behind that 60% is laid out in the ISO 42001 certification readiness plan.
Drata's product pages describe mapping ISO 42001 requirements into its existing control structure and continuously monitoring those controls. Its help centre adds vendor risk management for third-party AI tools. That design suits a company where AI governance is one programme among several. It fits poorly where AI systems are the business.
Why the missing EU AI Act page matters, and when it does not
If you are an EU provider of a high-risk system, the gap is real. You would be mapping roughly 150 obligations into a custom framework yourself, with Drata providing the evidence store and monitoring underneath.
If you only deploy general-purpose models inside internal workflows, the gap may not matter at all. Most of your EU obligations then sit in transparency duties and AI literacy, covered in the evidence an Article 4 AI literacy programme needs. ISO 42001 plus a short legal memo can carry that.
Credo AI: the AI governance platform that starts from the inventory
Credo AI is a different kind of product, and comparing it to Vanta and Drata on framework counts misses the point. Its homepage leads with an AI registry: "Discover and catalog every AI system, agent, vendor and model." Sub-features include agent cards, shadow AI detection, risk classification and dependency mapping.
The registry is the product
For a GRC platform, the unit of compliance is a control. For Credo AI, it is a use case. That shift matters because every AI framework starts with an inventory. ISO 42001 needs a scope, the EU AI Act needs a classification of each system, and NIST AI RMF's Map function needs a context for each one.
Credo AI lists native integrations with Snowflake, Databricks, AWS, Azure, ServiceNow, Jira, Confluence, Slack, GitHub and MLflow, and claims more than 300 integrations in total. A GRC platform watching your identity provider will not find the agent a product team wired up in a notebook. The cost of that blind spot is in the analysis of shadow AI breach costs.
Policy packs beyond the three big frameworks
Credo AI says it ships pre-built policy packs for the EU AI Act, NIST AI RMF, ISO 42001 and more than 20 other standards. Its homepage names US-specific ones the GRC platforms do not document, including OMB M-25, Colorado's automated decision-making rules and the NAIC AI model bulletin for insurers. For a US insurer or federal contractor, that list may decide the purchase on its own.
Credo AI lists SOC 2 as a policy pack, but I would not buy it as a replacement for a SOC 2 platform. Its documentation does not describe the hourly infrastructure tests that GRC tools are built around. Its EU AI Act explainer also still says it "will provide Policy Packs" once the final text is published, which happened in July 2024, so its public material is not kept current.
Where AI compliance automation ends and manual work starts
Every AI requirement falls into one of three groups. Some evidence is a system setting a connector can read. Some is a structured document a template can speed up. The rest is a judgement a named person has to make and defend.
The table below sorts the main obligations across ISO 42001, the EU AI Act and NIST AI RMF into those groups. It is based on what the three vendors say they automate, not on a test of their products.
| Requirement | Where it comes from | What the software does | What a person still does |
|---|---|---|---|
| Access control, encryption, logging on AI infrastructure. | ISO 42001, EU AI Act Article 12 logging. | Pulls configuration and runs continuous tests. Vanta and Drata are strongest here. | Fixes failures and confirms the logs capture model inputs and outputs, not just infrastructure events. |
| AI system inventory and scope. | ISO 42001 scope, NIST AI RMF Map. | Credo AI discovers systems through integrations. GRC tools store a list you maintain. | Decides what counts as an AI system and who owns it. |
| Risk classification. | EU AI Act Article 6 and Annex III. | Structured questionnaire in Vanta and Credo AI. | Makes the legal call, ideally signed off by counsel. |
| AI impact assessment. | ISO 42001, EU AI Act Article 27 for some deployers. | Template and workflow. | Writes the assessment, consults affected groups, sets the residual risk. |
| Technical documentation. | EU AI Act Article 11 and Annex IV. | Document store and version history. | Engineers describe training data, design choices and test results. |
| Human oversight design. | EU AI Act Article 14. | Policy template. | Designs the intervention point and trains the people who use it. |
| Bias and accuracy testing. | EU AI Act Articles 10 and 15, NIST AI RMF Measure. | Stores results. None of the three documents running the tests itself. | Runs the evaluation and decides what result is acceptable. |
| Vendor AI risk. | ISO 42001, NIST AI RMF Govern. | Questionnaire automation and vendor registers in all three. | Reads the answers and decides whether to accept the vendor. |
Only the first row is automated in the sense SOC 2 buyers are used to. Everything below it is workflow software: the platform gives the work a place to live, an owner, a due date and an audit trail. That is worth paying for, but it is not automation.
A SOC 2 programme on Vanta or Drata can run with a fraction of one person once the connectors are live. An AI governance programme needs product, engineering and legal time every time a new system ships, whichever tool you choose. Staffing that work as it scales is covered in the agent governance maturity model.
There is one more trap in the first row. Vanta and Drata watch the infrastructure your AI runs on. Neither describes logging individual model decisions, which is what Article 12 asks a high-risk system to do. Green dashboards on the hosting layer can sit alongside a model that keeps no record of what it decided.
AI compliance software pricing: what the public record shows
None of the three vendors publishes a price. Vanta's pricing page lists Essentials, Plus, Professional and Enterprise tiers and asks you to request a demo for personalised pricing. Drata's pricing page routes you to sales. Credo AI has no public pricing page.
The best public proxy is Vendr, a procurement firm that publishes buyer-reported contract data. Its Vanta page, last updated February 2026, shows a median of $20,000 a year, ranging from $7,500 to $57,207. Its Drata page shows a median of $24,934, ranging from $9,415 to $68,250. Vendr's Credo AI page carries no pricing data at all.
| Item | Vanta | Drata | Credo AI |
|---|---|---|---|
| Public list price. | No. | No. | No. |
| Named tiers. | Essentials, Plus, Professional, Enterprise. | Not shown on the pricing page. | None published. |
| How frameworks are charged. | Essentials includes one framework. Vendr reports each further framework is priced separately. | Vendr reports framework licences are incremental. | Not published. |
| Buyer-reported median. | $20,000 a year. | $24,934 a year. | No data. |
| Where Credo AI wins the comparison. | If your cost is driven by how many AI systems you govern, not how many frameworks you certify, a per-framework contract prices the wrong unit. | ||
Two costs sit outside every one of these numbers. The certification audit for ISO 42001 is paid to an accredited certification body, not to the software vendor. The internal time described in the previous section is paid in salaries.
The negotiating point follows from Vendr's own notes. The first framework typically carries the highest per-framework cost on both GRC platforms. If you already pay for SOC 2, ask for ISO 42001 and NIST AI RMF as a bundle priced against your existing contract, not as new lines at list. The wider playbook for that conversation is in the AI agent procurement checklist.
Where this comparison is weakest
This post compares public documentation, and documentation is not the product.
Marketing pages lag the product, and sometimes lead it
Drata may well support the EU AI Act through a custom framework or a feature that has no marketing page yet. Credo AI's EU AI Act page is plainly out of date, so its product is almost certainly ahead of it. Vanta's 150-control count is the vendor's own, with no published method. A demo with your own AI system in scope would overturn some cells in the coverage table.
Pricing is weaker still. Vendr's data is buyer-reported, nine months old, and its own pages disagree on sample size: 374 purchases against 169 deals for Vanta, 236 against 127 for Drata. Those medians also blend SOC 2-only contracts with multi-framework ones. They tell you the range of the market, not what an AI framework adds to your bill.
The case for ignoring framework coverage entirely
Framework coverage may be the wrong axis for this decision. Most companies are not providers of high-risk AI under the EU AI Act. For them, ISO 42001 is the only certificate a customer will ask to see, and all three vendors document it.
Then the real choice is your existing GRC platform versus a new one, and switching rarely pays. If you already run Drata for SOC 2, the 35% to 40% overlap its own team measured is an argument for staying, not for moving. Vanta's EU AI Act page may be one you never need. I think that argument wins for most mid-market SaaS companies. It loses for anyone selling AI into EU hiring, credit, education or insurance decisions.
Frequently asked questions
What is the best AI compliance software?
It depends on where your obligations sit. Vanta documents ISO 42001, the EU AI Act and NIST AI RMF as dedicated frameworks. Drata documents ISO 42001 and NIST AI RMF but lists no EU AI Act framework. Credo AI ships policy packs for all three and is built around an AI system registry. Choose by your hardest problem: infrastructure evidence, legal classification, or knowing which AI systems exist.
Does Drata support the EU AI Act?
Drata's public frameworks page, checked on 20 October 2026, lists ISO 42001 and NIST AI RMF but not the EU AI Act. It lists other EU frameworks, including NIS 2 and the Cyber Resilience Act. That may change, and support could exist inside the product without a marketing page, so ask Drata directly and request a demo with an EU AI Act custom framework in scope.
Which ISO 42001 software supports certification?
Vanta, Drata and Credo AI all document ISO 42001 support. Vanta made it generally available in March 2024 with 70 new controls. Drata announced support in January 2025 and certified itself in December 2025. None of them issues the certificate. An accredited certification body audits your AI management system, and that audit fee sits outside every software contract.
How much does Vanta or Drata cost for AI compliance?
Neither publishes a price. Buyer-reported data from Vendr, last updated February 2026, shows a median annual contract of $20,000 for Vanta and $24,934 for Drata. Ranges run from about $7,500 to $68,250. Each additional framework is typically priced separately, so adding ISO 42001 or NIST AI RMF to an existing SOC 2 contract raises the bill.
Can AI governance platforms automate EU AI Act compliance?
Only partly. Platforms automate infrastructure evidence such as access control and logging configuration, and they structure risk classification and documentation workflows. The core obligations, including risk classification, impact assessments, technical documentation, human oversight design and bias testing, still need people to write and defend them. The software gives that work an owner, a deadline and an audit trail.
When do EU AI Act high-risk obligations apply?
After the AI Omnibus, Regulation (EU) 2026/1744, entered into force on 27 July 2026, Annex III high-risk obligations apply from 2 December 2027. Annex I obligations for AI in regulated products such as machinery apply from 2 August 2028. Prohibited practices and AI literacy rules already apply. The first harmonised standard, EN 18286 on quality management, was published on 19 October 2026.
Where to start
Before you book a single demo, write a one-page inventory of every AI system your company builds or deploys, with an owner and a one-line purpose for each. If that page takes more than a day to fill, your first problem is discovery, and Credo AI's registry deserves a look. If it takes an hour, your problem is evidence, and your existing GRC platform is the cheaper place to solve it.
Then send each shortlisted vendor the same request. Ask them to load one of your real AI systems into a trial and show which ISO 42001 and EU AI Act controls turn green without a human uploading anything. The count they show you is the only automation figure in this category worth trusting. For questions to put to them, start with the NIST AI RMF RFP questionnaire.
Related in this cluster
If SOC 2 is already your baseline, read the nine artefacts SOC 2 auditors now ask for on AI before you buy a second framework.
References
- Vanta, Introducing ISO 42001: Ensuring responsible AI usage and development, 28 March 2024. Used for the launch date and the 70-control figure.
- Vanta, EU AI Act product page, accessed 20 October 2026. Used for the 150-control and 16-policy figures, risk classification and overlap percentages.
- Drata, Announcing ISO 42001 certification, 2 December 2025. Used for the 35% to 40% coverage estimate and the AI risk library.
- Drata, Frameworks page, accessed 20 October 2026. Used for the list of supported frameworks, including NIST AI RMF and the absence of the EU AI Act.
- Credo AI, Homepage and platform overview, accessed 20 October 2026. Used for registry features, integrations and named policy packs.
- European Commission, Regulatory framework on AI, last updated 19 October 2026. Used for the post-Omnibus application dates.
- European Commission, First harmonised standard supporting the AI Act published in the Official Journal, 19 October 2026. Used for EN 18286:2026.
- Vendr, Vanta pricing and Drata pricing, last updated February 2026. Used for buyer-reported contract medians and ranges.
The weakest part of this source base is that every product claim comes from the vendor's own public material, read on 20 October 2026, and none was tested inside the product. Pricing rests on one buyer-reported dataset with inconsistent sample sizes.
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