Modulos vs Drata: AI Governance vs Compliance (2026)
Two procurement categories, not two angles on one: a dedicated AI governance platform and a continuous compliance automation platform that has extended into AI frameworks. Side-by-side analysis with the AI-governance versus continuous-compliance-automation distinction addressed directly.
June 2026 · 14 min read · Updated for the EU AI Act Omnibus deal (December 2027 deadline)
Modulos and Drata are evaluated together by organisations weighing a single question: should I procure a dedicated AI governance platform, or extend my existing continuous compliance automation platform into AI frameworks? Modulos is a dedicated AI governance platform, built AI-native on the Governance Graph data model, anchored on ISO/IEC 42001 product conformity and the EU AI Act. Drata is a continuous compliance automation platform that is widely adopted in the startup SOC 2 and ISO 27001 audit-automation market and has extended its framework library to include AI-specific frameworks, achieving its own organisational ISO/IEC 42001 AIMS certification on 2 December 2025, a credible institutional commitment to the standard. The two address different procurement questions rather than the same question from different angles.
Modulos is the default choice for organisations building AI governance as a first-class programme with the EU AI Act, ISO/IEC 42001 product conformity, NIS2, DORA, and NIST AI RMF as binding obligations; Drata is the default choice for startups and high-growth SaaS companies needing fast SOC 2 and ISO 27001 audit automation, where AI framework mapping extends a broader security compliance platform.
At a glance: Modulos vs Drata
Twenty-one dimensions buyers weigh in 2026 procurement, with the canonical positioning of each platform on each. The deeper analysis follows below, including the AI-governance versus continuous-compliance-automation category distinction.
| Dimension | Modulos | Drata |
|---|---|---|
| Headquarters | Zurich, Switzerland | San Diego, CA (new San Francisco HQ opened February 2026) |
| Founded | 2018 (ETH Zurich spin-out, dedicated AI governance) | 2020 (co-founded by Adam Markowitz, Troy Markowitz, and Daniel Marashlian) |
| Product category | Dedicated AI governance platform | Continuous compliance automation platform with AI framework mapping |
| Core approach | AI-native compliance automation built on the Governance Graph, a connected-object data model for frameworks, requirements, controls, and evidence | Continuous compliance automation built for cross-framework cloud-config evidence collection, extended to include AI frameworks |
| ISO/IEC 42001 | First platform to achieve product conformity (assessed by CertX) | Organisational AIMS certification achieved 2 December 2025 (announced via Drata blog); Modulos’s ISO/IEC 42001 signal is product conformity by CertX, a different artefact |
| Risk quantification | Monetary, using Fermi estimation to assign defensible EUR, GBP, USD expected-loss exposure to AI risks | Risk register and qualitative risk-tier scoring inherited from the broader continuous compliance platform; no public monetary expected-loss methodology as of June 2026 |
| Cross-framework reuse | Governance Graph treats frameworks, requirements, controls, and evidence as connected objects with first-class deduplication across AI-specific frameworks | Cross-framework mapping via the broader security compliance control library, with AI-specific controls layered on top of cross-mapped ISO 27001 controls |
| EU AI Act | Dedicated product surface covering Annex III risk classification, FRIA templates, post-market monitoring, AI Office notification, CE marking workflow; team contributes to EU GPAI Code of Practice drafting | Covered through the broader control library and through Drata learn and blog content as of June 2026; not surfaced as a dedicated product page |
| ISO/IEC 42001 framework coverage | First AI governance platform to achieve product conformity (CertX-assessed); supports organisational AIMS and product-conformity workflows | Dedicated ISO 42001 framework product page supporting organisational AIMS certification, with controls cross-mapped to ISO 27001 |
| NIST AI RMF | Dedicated coverage with cross-framework deduplication into EU AI Act, ISO 42001, GDPR, NIS2, DORA control libraries | Dedicated NIST AI RMF framework product page mapping functions and outcomes to controls and evidence within the broader platform |
| NIS2 | Native EU-regulatory coverage including operational resilience and incident reporting controls | Dedicated public NIS2 framework page covering incident reporting and operational resilience mechanics; listed as a pre-mapped framework in the Drata Help Center |
| DORA | Native EU-regulatory coverage including ICT third-party risk, incident reporting, and operational resilience controls | Dedicated public DORA framework page covering ICT risk management, operational resilience, and third-party oversight mechanics; listed as a pre-mapped framework in the Drata Help Center |
| GDPR | Dedicated coverage with cross-framework deduplication into AI-specific privacy obligations | Strong coverage as part of the broader privacy compliance framework library |
| OWASP | Dedicated coverage including LLM Top 10 and AI/ML security controls with partner telemetry integration | Coverage via the broader security control library; depth of OWASP LLM Top 10 mechanics not publicly emphasised |
| Other frameworks | EU AI Act, ISO 42001, NIST AI RMF, OWASP, GDPR, NIS2, DORA plus 10+ additional AI- and EU-regulatory frameworks | SOC 2, ISO 27001, HIPAA, PCI DSS, GDPR plus dozens of additional security and privacy frameworks; AI framework coverage layered on top |
| AI agents | Scout investigative agent with deep-agent reasoning across GitHub, Bitbucket, Google Drive, Confluence, Jira, AWS, Azure, and the Governance Graph itself; dedicated evidence-processing and control-assessment agents | Drata AI capabilities span agentic third-party risk assessment, questionnaire assist, policy-to-control mapping, and audit workflows, oriented to GRC and trust automation across the compliance estate, a different model from Scout’s investigation of the buyer’s engineering estate |
| Integrations | GitHub, Bitbucket, Confluence, Google Drive, Jira, AWS, Azure; partner telemetry from Vijil and Zenity | Deep cloud-config evidence collection across AWS, Azure, GCP audit logs, IAM, and infrastructure controls; broad SaaS connector library inherited from the continuous compliance platform |
| Pricing model | Bespoke per engagement; indicative range approximately 50,000 USD per year for a focused mid-market deployment to several hundred thousand USD per year for enterprise-wide programmes | Bundled across standard tiers, quoted by third-party reviews at approximately 7,500 to 100,000 USD or more per year; no AI Governance SKU as of June 2026 |
| Deployment | SaaS, private cloud, on-premise, including sovereign-AI and air-gap deployments for EU government and regulated enterprise customers | SaaS-centric |
| Public customer references | PwC, Armasuisse, Beyond Gravity, ETH AI Center, Xayn, JobCloud, SCSK, Serai | Substantial customer base across the startup and growth-SaaS SOC 2 and ISO 27001 segment; no named AI-governance customer case studies on AI pages as of June 2026 |
| Strongest fit | Organisations building AI governance as a first-class programme with EU AI Act, ISO 42001 product conformity, NIS2, DORA, NIST AI RMF as binding obligations | Startups and high-growth SaaS companies needing fast SOC 2 and ISO 27001 audit automation, where AI framework mapping extends the broader security compliance platform |
Table reflects publicly available product information as of 3 June 2026. Verify current status with each vendor before procurement.
Why this comparison matters now
The EU AI Act Omnibus political agreement sets the Annex III high-risk deadline at 2 December 2027 and the Annex I product-integrated deadline at 2 August 2028, pending formal adoption and Official Journal publication. Penalties for non-compliance with prohibited practices reach 7 percent of global annual turnover. At the same time, ISO/IEC 42001 has become a market differentiator for AI-using organisations, and NIS2 and DORA have become binding EU regulatory obligations for critical infrastructure operators and financial services firms.
Many organisations evaluating AI governance in 2026 already run a continuous compliance automation platform, whether Drata, Vanta, or Secureframe, for SOC 2, ISO 27001, HIPAA, or PCI DSS evidence collection and audit automation. The first procurement question those organisations face is not which AI governance platform is best, but whether they need a dedicated AI governance platform to satisfy AI-specific regulatory obligations, or whether they can extend an existing continuous compliance automation platform into AI framework mapping. That question is genuinely categorical: AI governance and continuous compliance automation are different procurement categories addressing different regulatory and architectural requirements, and both are real categories with substantial markets.
For EU-regulated enterprises, the regulatory stack, including the EU AI Act, ISO/IEC 42001, NIS2, DORA, NIST AI RMF, and GDPR, is increasingly the binding driver of the AI governance buying decision. Drata’s framework support is global-security-focused, spanning SOC 2, ISO 27001, HIPAA, PCI DSS, and GDPR. Modulos’s framework support is EU-AI-regulatory-focused, spanning the EU AI Act, ISO 42001, NIS2, DORA, and NIST AI RMF. The two platforms address adjacent but distinct sides of an enterprise compliance estate. The same buyer-context question applies in parallel for privacy-incumbent extension (OneTrust) and enterprise-platform-incumbent extension (IBM), and is set out in the 2026 buyer’s guide.
How each vendor positions itself
Modulos
Modulos positions itself as an AI-native compliance automation platform for regulated enterprises. The product is built around the Governance Graph, a connected data model that links frameworks, requirements, controls, and evidence as first-class objects rather than flat lists. Scout, the platform’s investigative AI agent, is built on a deep-agent reasoning architecture and conducts multi-step research across the customer’s engineering and governance estate (GitHub, Bitbucket, Google Drive, Confluence, Jira, AWS, Azure, and the Governance Graph itself), returning structured findings with file paths, line references, relevance and confidence scores, streaming intermediate reasoning, and continuously checking AI systems against published policies. Dedicated evidence-processing and control-assessment agents propose evidence attachments and control state changes for human review. Modulos is the first AI governance platform to have completed ISO/IEC 42001 product conformity assessment, audited by CertX, and quantifies AI risk in monetary terms using Fermi estimation. The Modulos team contributes to the EU GPAI Code of Practice, the NIST AI Safety Institute Consortium, and CEN-CENELEC JTC 21. Customer references include PwC, Armasuisse, Beyond Gravity, ETH AI Center, Xayn, JobCloud, SCSK, and Serai, with integration partners Vijil and Zenity for model-layer and agent-layer telemetry.
Drata
Drata is one of the category-defining continuous compliance automation platforms, widely adopted in startup SOC 2 and ISO 27001 audit automation, with a substantial installed base across the startup, Series A and B, and high-growth SaaS ecosystem. Its marketing language centres on continuous compliance automation, automated evidence collection, audit-ready dashboards, and deep cloud integrations across dozens of frameworks. Drata achieved its own organisational ISO/IEC 42001 AIMS certification on 2 December 2025, a credible institutional commitment to the standard and a signal that Drata understands the audit pathway. The February 2025 SafeBase acquisition extended Drata’s footprint into Trust Centers and third-party risk management. Drata’s AI framework support includes AI Management System and AI Governance policy templates, a risk library covering common AI risks, and AI-specific controls cross-mapped to ISO 27001 controls within the broader continuous compliance platform, alongside a dedicated ISO 42001 product page and a dedicated NIST AI RMF framework page. Drata’s market posture is that continuous trust and compliance benefit from a single automated platform spanning security, privacy, and AI frameworks with deep cloud-config evidence collection.
Capability deep dive
Six capabilities where the two platforms diverge in design rather than in marketing language. Each subsection describes the underlying mechanic, not the demo, and treats the two architectures as credible for different procurement categories.
Product architecture and category positioning
Modulos is a dedicated AI governance platform built AI-native around the Governance Graph, a connected-object data model in which frameworks, requirements, controls, and evidence are first-class queryable objects with explicit relationships between them. Cross-framework deduplication is a technical primitive of the data model rather than a feature claim. Drata is a continuous compliance automation platform, built for cross-framework cloud-config evidence collection across SOC 2, ISO 27001, HIPAA, and PCI DSS, that has extended its framework library to include AI-specific frameworks layered on top of cross-mapped security controls.
The architectural implication is where the system of record for AI sits, and whether the platform was designed for AI-specific lifecycle governance or for cross-framework cloud-config evidence collection. Drata’s own 2 December 2025 blog framing, that its SOC 2, ISO 27001, and privacy frameworks covered approximately 35 to 40 percent of ISO 42001 requirements, is Drata’s own authoritative articulation of why extending a security compliance evidence engine into AI is non-trivial work. Both architectural paths are legitimate. They serve different buyer questions: whether to procure a dedicated AI governance platform for AI-specific regulatory obligations, or to extend a continuous compliance automation platform into AI framework mapping.
Regulatory framework coverage and depth
Modulos covers the EU AI Act, ISO/IEC 42001, NIST AI RMF, OWASP, GDPR, NIS2, DORA, and more than ten additional frameworks inside a single Governance Graph. Framework intelligence is maintained against primary regulatory sources by a team that contributes to the EU GPAI Code of Practice, the NIST AI Safety Institute Consortium, and CEN-CENELEC JTC 21. Cross-framework deduplication is the differentiating mechanic: one control mapped against multiple frameworks shares evidence and reduces implementation effort across the EU regulatory stack. For the EU AI Act specifically, the product surface covers Annex III risk classification, FRIA templates, post-market monitoring, AI Office notification, and CE marking workflow as first-class product mechanics.
Drata’s framework library spans SOC 2, ISO 27001, HIPAA, PCI DSS, and GDPR, with AI-specific frameworks layered on top of cross-mapped security controls. Drata maintains a dedicated ISO 42001 framework product page and a dedicated NIST AI RMF framework product page, and dedicated public NIS2 and DORA framework pages covering incident reporting, operational resilience, ICT risk management, and third-party oversight, both listed as pre-mapped frameworks in the Drata Help Center. As of 3 June 2026, EU AI Act coverage appears through the broader control library and through Drata learn and blog content rather than as a dedicated product page. Both vendors carry framework depth on different dimensions: Modulos concentrates on AI-specific framework-to-control mapping anchored on the EU regulatory stack, with regulatory authorship as institutional credibility; Drata concentrates on breadth across the security compliance framework portfolio with deep cloud-config evidence collection.
Risk quantification approach
Modulos quantifies AI risk in monetary terms using Fermi estimation, a structured method for arriving at defensible numeric exposure ranges in EUR, GBP, or USD even where direct historical loss data is sparse. The output is a numeric expected loss per AI system, comparable across the AI estate and reportable in the same financial units as operational and market risk. Board audit committees and prudential supervisors that read AI risk alongside the rest of the enterprise financial risk taxonomy are the audiences this serves directly, particularly where supervisory authorities expect monetary disclosure.
Drata approaches risk through a risk register and qualitative risk-tier scoring inherited from the broader continuous compliance platform, with AI risk captured alongside security and privacy risk in the same dashboard. As of 3 June 2026, Drata does not publicly emphasise a monetary expected-loss methodology for AI risk. The two approaches answer different procurement questions. Monetary expected-loss reporting in decision-grade financial units suits organisations where AI risk needs to be reported alongside enterprise financial risk. Qualitative risk-tier scoring is appropriate for organisations whose AI risk reporting is integrated with broader security compliance reporting rather than reported separately to a board or to financial supervisors, and whose AI governance programme is owned by the engineering or security function.
AI agents, automation, and the Drata AI product scope
Scout, the Modulos investigative AI agent, is built on a deep-agent reasoning architecture and conducts multi-step research across the customer’s engineering and governance estate (GitHub, Bitbucket, Google Drive, Confluence, Jira, AWS, Azure, and the Governance Graph itself), returning structured findings with file paths, line references, relevance and confidence scores, streaming intermediate reasoning, and continuously checking AI systems against published policies. Dedicated evidence-processing and control-assessment agents propose evidence attachments and control state changes for human review. Scout is oriented to investigating, reasoning over, and pulling AI governance evidence from the buyer’s engineering estate.
Drata’s published Drata AI capabilities span agentic third-party risk assessment, questionnaire assist, policy-to-control mapping, test failure analysis, and audit workflows. These features are real and useful for Drata’s category, automating GRC and trust-management work across the compliance estate. The two agent architectures are aimed at different problems and reflect different models. Scout is an investigation model that reasons over the buyer’s engineering estate (Git repositories, cloud infrastructure, documentation, and ticketing systems) to surface and assess AI governance evidence, while Drata AI is a GRC and trust-automation model that accelerates compliance, risk, and audit workflows. Verify the Drata AI product scope at procurement time.
Deployment, integration, and pricing model
Drata deploys as a SaaS platform with deep cloud-config evidence collection across AWS, Azure, and GCP audit logs, IAM, and infrastructure controls, which is genuinely strong for security compliance evidence, plus a broad SaaS connector library inherited from the continuous compliance platform. Drata bundles framework support across standard tiers, quoted by third-party reviews at approximately 7,500 to 100,000 USD or more per year, with no dedicated AI Governance SKU as of 3 June 2026. That tier-bundled pricing serves Drata’s startup and growth-SaaS buyer profile well.
Modulos deploys as SaaS, private cloud, or on-premise, with sovereign-AI and air-gap deployments delivered for EU government and regulated enterprise customers. The integration surface points at engineering systems (GitHub, Bitbucket, Confluence, Google Drive, Jira, AWS, Azure) and partner telemetry from Vijil and Zenity. Pricing is bespoke per engagement, with an indicative range of approximately 50,000 USD per year for a focused mid-market deployment to several hundred thousand USD per year for enterprise-wide programmes. The different pricing models reflect different category economics: tier-bundled pricing for continuous compliance automation across a broad framework portfolio, and engagement-based pricing for a dedicated AI governance programme scoped to an AI estate and a regulatory framework set.
Why Modulos does not offer SOC 2 (and why that matters)
Modulos does not offer SOC 2, ISO 27001, HIPAA, or PCI DSS continuous compliance automation, and that is a deliberate positioning decision rather than a coverage gap. AI governance and security compliance automation are different domains requiring different technical depth. SOC 2 requires deep cloud-config evidence collection (AWS, Azure, GCP audit logs, IAM, infrastructure controls) and integration with engineering tooling for vulnerability management, access reviews, and change management. AI governance requires deep model-lifecycle telemetry (training data lineage, evaluation metrics, deployment monitoring), regulatory framework mechanics (EU AI Act Annex III risk classification, FRIA templates, post-market monitoring, AI Office notification, CE marking), and AI-specific risk quantification methodology.
Modulos’s architectural choice is to specialise in AI governance specifically. The Governance Graph data model is built for AI assets, AI-specific regulatory framework cross-mapping, and AI-lifecycle evidence collection, rather than to extend a SOC 2 evidence engine into AI as one framework among many. The procurement consequence is that organisations running Drata for SOC 2 or ISO 27001 can and should continue to run Drata for SOC 2 or ISO 27001; these are complementary platforms in different procurement categories, not direct substitutes. The architectural depth required for cloud audit log collection and IAM control attestation is the appropriate complement to the architectural depth required for EU AI Act Annex III compliance, FRIA workflow, monetary AI risk quantification, and agentic AI governance, and each domain is served by a platform designed specifically for it.
When to choose Modulos
Five buyer profiles where Modulos is the natural shortlist entry. Each profile is criterion-based, anchored on AI-native architecture, certification pathway, regulatory stack, risk-quantification approach, and where AI governance ownership sits.
Organisations whose AI governance programme requires dedicated AI-native architecture
Where AI governance needs a system of record built for AI assets rather than security-compliance evidence collection extended to AI controls, Modulos was built AI-native from the data model up. Drata’s own 2 December 2025 ISO/IEC 42001 certification announcement states that its SOC 2, ISO 27001, and privacy frameworks covered approximately 35 to 40 percent of ISO 42001 requirements, a credible articulation by Drata of why extending a security-compliance evidence engine into AI governance is non-trivial.
Enterprises pursuing ISO/IEC 42001 product conformity rather than organisational AIMS only
Modulos is the first AI governance platform to have achieved ISO/IEC 42001 product conformity, assessed by CertX. The product conformity pathway is the relevant signal for organisations whose customers, supervisors, or regulators require third-party-assessed AI governance product certification, as distinct from organisational AIMS certification of a management system. For RFPs that scope the requirement to product conformity specifically, the distinction matters.
EU-regulated enterprises facing the full EU regulatory stack
For organisations stacking the EU AI Act, ISO/IEC 42001, NIS2, DORA, and NIST AI RMF simultaneously, multi-framework deduplication across EU-specific frameworks is a binding requirement, and the regulatory authorship of the platform vendor’s team contributes to procurement confidence. The Modulos team participates in drafting the regulations the platform maps to, including the EU GPAI Code of Practice and CEN-CENELEC JTC 21.
Boards and supervisors requiring monetary risk quantification
Where AI risk must be reported in EUR, GBP, or USD expected-loss exposure rather than qualitative risk-tier scoring inside a continuous compliance dashboard, Modulos quantifies AI risk in monetary terms using Fermi estimation. Monetary AI risk reporting is increasingly expected alongside financial risk at board level, particularly in regulated industries where supervisory authorities expect monetary disclosure.
Regulated industries where AI governance is owned by compliance, risk, or legal
For SME and enterprise organisations in regulated industries (financial services, defense, aerospace, healthcare, telecommunications, critical infrastructure, public sector), Scout pulls AI governance evidence from where it lives, including Git repositories, cloud infrastructure, and ticketing systems, via investigative agent. This fits organisations where the AI governance buying decision is owned by compliance, risk, or legal leadership rather than by engineering speed-of-audit teams.
When to choose Drata
Five buyer profiles where Drata is the natural shortlist entry. Each profile draws on Drata’s genuine product strengths: wide adoption in the startup compliance automation market, deep cloud-config evidence collection, broad security framework consolidation economics, organisational ISO/IEC 42001 AIMS certification, and an engineering-team-led operating model.
Startups and high-growth SaaS companies needing fast SOC 2 or ISO 27001 certification
Drata is widely adopted in this segment for legitimate reasons: fast time-to-audit, deep cloud-config evidence collection across AWS, Azure, and GCP audit logs, IAM, and infrastructure controls, strong brand recognition in the startup ecosystem, and a product designed for engineering-team-led compliance buying decisions. For a Series A or B startup that needs SOC 2 certification before closing its first enterprise contract, Drata is a default choice in the market for that procurement question.
Organisations consolidating security and AI framework mapping on one platform
For organisations consolidating SOC 2, ISO 27001, HIPAA, PCI DSS, and AI framework mapping on a single security compliance automation platform with unified evidence collection and unified workflow, Drata’s framework library spans dozens of security and privacy frameworks with cross-mapped controls. Where the compliance operating model treats AI as one framework within a broader security compliance estate, the platform consolidation economics are real and substantial.
Companies extending an existing Drata deployment into ISO/IEC 42001 organisational AIMS
Companies that already run Drata for security compliance and want to extend the existing platform into ISO/IEC 42001 organisational AIMS certification can draw on Drata’s own institutional experience. Drata achieved its own organisational AIMS certification on 2 December 2025, which means Drata’s team has direct experience with the certification pathway and customers extending into organisational AIMS can build on that knowledge.
Buyers prioritising deep cloud-config evidence collection
For buyers whose primary AI risk is data security, access control, and infrastructure compliance rather than AI-specific lifecycle governance, Annex III risk classification, or FRIA workflow, Drata’s cloud-config evidence depth is one of the strongest in the continuous compliance automation category. Automated collection across AWS, Azure, and GCP audit logs, IAM, infrastructure controls, and security policy attestation maps directly to that primary risk frame.
Engineering-team-led compliance buying decisions
Where the operating model treats AI compliance as an extension of cloud security compliance rather than a distinct AI-specific programme, Drata’s product is designed for engineering-team operators, with fast onboarding, automated evidence collection, audit-ready dashboards, and low operational overhead. This suits organisations whose AI compliance is owned by the same team that owns cloud security compliance.
What if neither is right
A handful of adjacent options that come up in the same shortlists, and the buyer profile each fits best. The OneTrust and Collibra parallels are the closest mechanical analogues for incumbent-platform-extending-into-AI buying decisions. For the full vendor landscape, see the 2026 buyer’s guide.
Closer fit if AI governance is extending an existing privacy and trust platform run for GDPR or CCPA rather than a continuous compliance automation platform. The closest parallel wedge for incumbent governance platforms extending into AI.
The closer competitor in Drata’s continuous compliance automation segment. Vanta has invested more visibly in dedicated AI framework product pages than Drata as of June 2026. Buyers comparing Drata and Vanta for AI framework coverage should evaluate the breadth and depth of each platform’s AI-specific product surfaces directly.
Closer fit if AI governance is extending an existing data governance, data catalog, and data lineage programme and AI risk is fundamentally a data provenance problem.
Closer fit if you already run IBM Cloud Pak for Data, OpenPages GRC, or other adjacent IBM enterprise systems at scale and integration economics favour the IBM stack.
Closer fit if ServiceNow is your workflow and ITSM platform of record and agent governance is the primary requirement.
Closer fit for US enterprise scale, autonomous agent management at runtime, and AWS, Databricks, and Snowflake-centric MLOps stacks.
Closer fit if your AI risk concentration is bias and fairness rather than multi-framework compliance.
Closer fit if your problem is agent-layer security and shadow-agent discovery rather than the policy and compliance layer.
Frequently asked questions
Ten questions that come up in Modulos vs Drata procurement conversations, with direct answers. The first three address the category distinction this page exists to clarify.
Can I use Modulos and Drata together?
Yes. They are complementary platforms in different procurement categories, not direct substitutes. Drata handles continuous compliance automation for SOC 2, ISO 27001, HIPAA, and PCI DSS; Modulos handles AI governance including the EU AI Act, ISO/IEC 42001 product conformity, NIS2, DORA, and NIST AI RMF. Many organisations run both, with Drata owning the security compliance evidence layer and Modulos owning the AI governance system of record.
Does Drata cover EU AI Act, NIS2, and DORA?
Drata maintains dedicated public framework pages for NIS2 and DORA, with NIS2 covering incident reporting and operational resilience and DORA covering ICT risk management, operational resilience, and third-party oversight, and both are listed as pre-mapped frameworks in the Drata Help Center. Drata also maintains a dedicated ISO 42001 product page and a dedicated NIST AI RMF framework page. As of June 2026, EU AI Act coverage appears through Drata learn and blog content and framework mapping rather than as a dedicated product page. Verify Drata current product surfaces at procurement time for the specific framework depth required.
Why doesn’t Modulos offer SOC 2?
This is a deliberate architectural and product positioning decision, not a coverage gap. AI governance and security compliance automation are different domains requiring different technical depth. Modulos focuses on AI governance specifically because the architectural depth required for the EU AI Act, ISO/IEC 42001 product conformity, FRIA workflow, and monetary AI risk quantification is different from the architectural depth required for cloud audit log collection and IAM attestation. Organisations running Drata for SOC 2 can continue to run Drata for SOC 2 while running Modulos for AI governance.
What’s the difference between Drata’s ISO/IEC 42001 certification and Modulos’s?
Drata achieved its own organisational ISO/IEC 42001 AIMS certification on 2 December 2025, a certification of Drata’s own AI Management System as an organisation. Modulos achieved ISO/IEC 42001 product conformity, assessed by Swiss conformity-assessment body CertX, a certification of the Modulos platform itself against the standard. Both are legitimate signals: organisational AIMS certification covers how the certified organisation governs its own AI, while product conformity covers whether the platform itself was independently assessed against the standard. Modulos is the first AI governance platform to have achieved ISO/IEC 42001 product conformity.
Is Modulos for startups?
Modulos is designed for SME and enterprise organisations in regulated industries (financial services, defense, aerospace, healthcare, telecommunications, critical infrastructure, public sector) where AI governance is a binding regulatory obligation. Drata is widely adopted in the startup compliance automation market for legitimate reasons, since fast SOC 2 and ISO 27001 audit automation for startups needing certification before enterprise sales is a different procurement question. Series A and B startups whose primary compliance question is how to get SOC 2 certified quickly will typically find Drata, Vanta, or Secureframe a closer category fit than Modulos.
Does Drata hold ISO/IEC 42001 certification?
Yes. Drata achieved organisational ISO/IEC 42001 AIMS certification on 2 December 2025, announced through the Drata blog. This certifies Drata’s own AI Management System as an organisation. It is distinct from product conformity, which certifies a platform itself against the standard; Modulos holds ISO/IEC 42001 product conformity assessed by CertX. Both are legitimate ISO/IEC 42001 signals that certify different things: an organisation’s management system in Drata’s case, a platform against the standard in Modulos’s case.
How do the EU AI Act coverage models differ?
Both platforms address the EU AI Act through different models. Modulos provides a dedicated EU AI Act product surface covering Annex III risk classification, Fundamental Rights Impact Assessment templates, post-market monitoring, AI Office notification, and CE marking workflow, with framework intelligence maintained against primary regulatory sources by a team that contributes to the EU GPAI Code of Practice and CEN-CENELEC JTC 21. Drata covers the EU AI Act through its broader control library and through learn and blog content as of June 2026, alongside dedicated ISO 42001 and NIST AI RMF surfaces. Verify each vendor’s current product surfaces at procurement time.
How do the pricing models compare?
Modulos prices bespoke per engagement, with an indicative range of approximately 50,000 USD per year for a focused mid-market deployment to several hundred thousand USD per year for enterprise-wide programmes. Drata bundles framework support across standard tiers, quoted by third-party reviews at approximately 7,500 to 100,000 USD or more per year, with no dedicated AI Governance SKU as of June 2026. These are different category economics, and both are appropriate for their respective buyer profiles.
What about Drata’s recent SafeBase acquisition?
Drata acquired SafeBase in a deal announced in February 2025, extending Drata’s footprint into Trust Centers and third-party risk management. This is part of Drata’s broader continuous compliance and trust management strategy. It is described here as corporate context without speculation about AI governance roadmap implications.
How long does implementation take for each?
Drata is designed for fast time-to-audit, with engineering-team-led onboarding measured in weeks. Modulos implementation timelines vary by AI estate complexity and regulatory framework scope; engagements typically run quarterly milestones aligned with AI governance programme maturity. As a public Modulos reference point, Xayn reached ISO/IEC 42001 audit readiness in four weeks. Different timelines reflect different category requirements.
Evaluating Modulos and Drata side by side?
If Modulos is on your shortlist after this comparison, we can walk through how the Governance Graph (as a connected-object data model), Fermi-style monetary risk quantification, and ISO/IEC 42001 product conformity map to your AI estate and regulatory framework scope, alongside the continuous compliance automation platform you already run for SOC 2 or ISO 27001. Book a 30-minute working session with a Modulos solutions engineer.
Book a working session →Methodology and disclosures
Methodology
This comparison evaluates Modulos and Drata based on publicly available information: vendor websites, Drata public product pages, Drata’s 2 December 2025 ISO/IEC 42001 certification announcement on the Drata blog, analyst reports including the IAPP AI Governance Vendor Report January 2026, third-party pricing reviews, press coverage, and direct product experience on the Modulos side. The architectural framing in the first When to choose Modulos profile and in the product architecture subsection cites Drata’s own 2 December 2025 blog framing, that its SOC 2, ISO 27001, and privacy frameworks covered approximately 35 to 40 percent of ISO 42001 requirements, as Drata’s own authoritative articulation rather than as a Modulos characterisation. Capabilities reflect publicly available information as of 3 June 2026.
Disclosure
This comparison is published by Modulos AG. Modulos is one of the two vendors compared on this page. Drata’s capabilities are described from publicly available product information; no commercial relationship between Modulos and Drata is implied. No vendor paid for inclusion or favourable treatment. Drata’s 2 December 2025 organisational ISO/IEC 42001 AIMS certification is acknowledged as a real institutional signal; organisational AIMS certification and product conformity are different artefacts that certify different things. The buyer profiles in When to choose Drata reflect Drata’s genuine strengths, including its wide adoption in the startup compliance automation market, deep cloud-config evidence collection, and 2 December 2025 organisational ISO/IEC 42001 certification.
Refresh cadence
This page is reviewed quarterly. The next scheduled review is 3 September 2026, with particular attention to Drata’s AI framework product page additions and any new dedicated EU AI Act product surfaces. Material changes to either platform’s capabilities, certifications, or buyer fit should be reflected within one refresh cycle. For questions about this comparison or to flag a factual correction, contact the Modulos team.
Published by Modulos AG. Last updated: 3 June 2026. Next refresh: 3 September 2026.
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