Monitaur

Monitaur, Inc. offers an AI governance platform that covers the model lifecycle from policy definition through ongoing monitoring and validation. It is aimed at regulated enterprises, with a particular focus on insurance and financial services, and addresses generative AI, agentic AI and traditional models.

What It Is

Monitaur is a governance platform organized around three stages: Define, Manage and Automate. It centralizes AI use cases, models and third-party vendor systems in one place. It maps evidence to a library of common controls so governance work can be reused across regulatory frameworks.

How the Define, Manage and Automate Journey Works

Define covers policy review with modular AI policy templates and workshops, program design, risk assessment methodology and education modules. Manage provides a complete inventory of use cases and models, a Controls Library, collaborative workflows for cross-functional stakeholders, and vendor governance with pre-mapped controls for GenAI and agentic AI. Automate adds FlightSim, a pre-deployment evaluation described as an AI pen test that uses synthetic simulations and returns letter grades and remediation recommendations. It also adds Record, which handles continuous drift and bias validation and decision logging. Monitaur states that Automate can automatically evidence nearly 40% of required governance controls and maps evidence to frameworks such as NIST AI RMF, ISO 42001 and the EU AI Act.

Integrations and Security

The platform offers pre-built integrations with Atlassian Confluence and Jira, Databricks and GitHub to capture existing evidence. Monitaur also describes client libraries and API access for connecting to modeling and MLOps tools. The site displays a SOC 2 Type II badge and states a library of 33 controls for high-risk models.