Modulos vs Monitaur: AI Governance Comparison (2026)

For an insurer or bank in Europe, AI obligations rarely stop at the AI Act. Modulos maps the full EU set in one library, with DORA, NIS2, GDPR and the Cyber Resilience Act beside the AI Act. It also maps EN 18286, the quality management standard whose reference appeared in the Official Journal on 14 October 2026 as the first harmonised standard under the AI Act, and prEN 18228 and prEN 18282 as drafts. Across the Governance Graph, 453 of 929 controls serve two or more frameworks. A-ZN, Slovenia’s insurance supervisor, selected Modulos to govern its own AI systems under the EU AI Act, NIS2 and EIOPA expectations, and plans to use the platform as its AI sandbox for insurers.

Monitaur calls itself “the leading AI governance solution for regulated enterprises”. Its compliance page lists control libraries pre-mapped to the EU AI Act, the NIST AI RMF, ISO 42001, NAIC, OCC, SOX, HIPAA and FFIEC, and it also names SR 11-7. Its homepage shows customers such as Unum, Progressive, Clearcover and NICE, and Forrester noted its insurance focus, according to Monitaur’s announcement. The list fits a US carrier or bank, but we did not find DORA, NIS2 or a CEN-CENELEC harmonised standard among the frameworks Monitaur names.

The Modulos edge: An insurer in Europe gets DORA, NIS2, GDPR and the AI Act with its first harmonised standard in one control set, from the platform Slovenia’s insurance supervisor chose for its own AI.

Insurers already price risk, and Modulos lets them price AI risk with the same logic. The Fermi Risk Agent estimates an annual loss in EUR, GBP or USD for each AI risk, even where loss history is thin, and re-runs as a step in a scheduled job whenever controls or evidence change. The portfolio view starts at the organisation and drills down to one threat vector, coloured by Risk Limit use. Value over time shows whether exposure is shrinking. Modulos is a founding member of PACT AI, where enterprises, technical experts and AI insurers are building shared infrastructure for AI assurance.

Monitaur offers structured risk workflows aligned to regulatory requirements across jurisdictions, pre-mapped out of the box, and risk assessment sits in the Define stage on its homepage. We did not find a published monetary method as of 16 October 2026, but the workflows suit programmes that record AI risk through assessments and model validation results.

The Modulos edge: Actuaries and boards read AI risk in the same currency as every other operational loss, and the figure refreshes on a schedule you set.

Modulos tests conformity on a schedule. An Agent Test is a check written in plain English, such as whether a claims model’s repository documents its training data sources, and an agent with read-only tools runs it daily, weekly, monthly or quarterly against connected systems. Each run returns a cited pass, fail or error verdict and is stored immutably. When a verdict fails, the mapped controls drop back to not executed and their owners are notified. For runtime signals, Modulos reads Langfuse, Datadog and Prometheus metrics and Vijil trust scores and guardrail data as evidence, without sitting in the request path as a gateway.

Monitaur is strongest in model validation. Its homepage lists drift and bias detection, stress testing and transaction search, and its compliance page describes continuous validation, real-time visibility into model performance across the portfolio and audit-ready evidence at runtime, with stress tests run before a model goes live. However, we did not find on its public pages how a monitoring result changes the status of a mapped control.

The Modulos edge: A failed Agent Test reopens the control behind it and notifies its owner, so the compliance record changes on the day production does.

Modulos starts the register from the platforms where generative AI is built. Scout, its AI agent, lists Azure AI Foundry agents and Azure OpenAI deployments, inventories Microsoft Copilot Studio agents across a tenant, and reads OpenAI Platform and Claude Console usage to show who uses AI through API keys, on request and read-only. Every find is a proposed Draft for a person to confirm, and existing inventories can come in from a CSV file. On submission the platform checks completeness, runs an initial risk assessment and queues the system for a Registration Manager, whose approval or rejection is recorded with a reason.

Monitaur keeps one system of record for every model type, and its compliance page says it “extends the same compliance rigor to third-party AI that you apply to internal builds”. Its homepage lists inventory, controls, collaboration and vendor governance, but we did not find automated discovery of AI systems on its public pages, so ask Monitaur how unregistered AI enters its inventory.

The Modulos edge: AI that business teams assemble in Copilot Studio or call through API keys reaches the register with a first risk assessment and a named reviewer.

Modulos passed ISO/IEC 42001 product conformity assessment with CertX (certificate 213-001/24) and holds a SOC 2 Type 2 report, so the platform that runs your ISO/IEC 42001 programme has itself been assessed against that standard. Connectors read evidence from Azure, AWS, Snowflake, GitHub, Langfuse, Datadog, Prometheus, Vijil, Copilot Studio, the OpenAI Platform and the Claude Console. Each AI system keeps a history of every change with a name and a time. SaaS is the default, and private cloud, on-premise and air-gapped installs are available on request, but no customer runs one yet.

Monitaur states on its security page that it has maintained SOC 2 Type 2 compliance since October 2021. It hosts with a leading cloud provider and creates separate infrastructure for each customer, with no shared databases. We found no public ISO/IEC 42001 disclosure. Integrations are described as APIs and libraries that connect to your model infrastructure, without a published list of platforms.

The Modulos edge: Your auditor sees a CertX ISO/IEC 42001 product certificate, and each control’s evidence traces back to a named source system.