Modulos Agentic AI Governance Platform

Your solution for simplified, responsible AI governance and proactive risk management. Seamlessly integrate frameworks, manage risks with precision, and ensure compliance with global standards, all while maintaining audit readiness. Embrace responsible AI with Modulos — where innovation meets ethical governance.

Navigating AI Compliance with an Agentic Intelligence Approach

A project dashboard displaying an overview of AI governance frameworks and compliance status. At the top, there's a progress indicator showing 35% completion for the project. Several frameworks are listed, including ISO/IEC 42001, NIST AI RMF, MAS FEAT, and the EU AI Act, each with their respective completion rates, requirements, and controls. The interface also provides options to see more details for each framework and add new ones.

Step 1: Discovery

Streamline Project's Inception

This initial step lays the groundwork for your project, ensuring a seamless start. We enable access to a well-organized set of pre-filled controls tailored to your selected AI regulatory frameworks. This allows you to focus on identifying and prioritizing the most relevant compliance requirements from the outset, setting a strong foundation for successful project execution.
Image that represents how to fulfill the controls outlined by various regulatory frameworks using our AI Agents that simplify your AI Compliance journey.

Step 2: Controls

Allocate and Fulfill Controls

In this step, your organization fulfills the controls outlined by various regulatory frameworks. Our platform ensures these controls are specific, reusable, and actionable throughout the AI system lifecycle. By facilitating a clear workflow for accountability and transparency, each control undergoes a multi-stakeholder approval process, promoting effective execution and oversight.
A risk management interface showing two strategies for risk treatment. Each strategy displays its inherent risk and residual risk values, marked as either medium or low. The strategies have sections for planning, implementation, and residual risk. Risk thresholds are indicated, with color coding to highlight risks above acceptable thresholds.

Step 3: Risk Management

Identify and Mitigate Risks

This step identifies, describes, quantifies, and mitigates risks. It ensures that all relevant risks are addressed, and any residual risks are documented and justified, supporting a comprehensive risk management strategy.

Step 4: Monitoring

Continuously Track Risk Metrics

This step ensures that your AI system consistently operates within the acceptable limits of identified residual risks. By continuously monitoring key metrics, you can proactively manage risk and maintain compliance, ensuring the system's performance aligns with regulatory expectations.
A control reporting interface displaying a detailed report for a specific control labeled MCF-14. The report includes a text editor for writing, alongside information such as the control's creation date, readiness status (marked as completed), mapped frameworks (NIST, ISO), and assigned reviewers. Additionally, tags related to teams and risk areas are shown, along with associated risks.

Step 5: Reporting

Document and Aggregate Information

This step aggregates and documents all necessary information for audits and management. It ensures external stakeholders can easily assess your AI system’s compliance with applicable frameworks, fostering transparency and accountability.

AI Serving Responsible AI Governance

AI Catalog with Risk Classification

Catalog AI projects by risk levels and compliance status for an executive and compliance team overview. This enhances transparency and supports regulatory adherence, simplifying AI landscape management.

AI Frameworks, Requirements, Risks, and Controls Structure

Streamline framework, requirement, risk, and control integration to enforce policies, enhance AI governance, and smooth AI project implementation.

AI Risk Management

Integrate risk management into the AI lifecycle, aligning with ISO and IEEE standards for a holistic approach. Enjoy continuous, customizable risk assessment, including third-party integrations.

starts' icon that represent the use of AI

AI Agents

Use advanced AI agents to improve regulatory compliance with automated guidance, real-time support, and smart workflow management for a better user experience.

Audit Ready

Ensure your AI initiatives are always audit-ready with detailed conformity reports and historical logs of all processes and stakeholder actions, supporting effective defense strategies.

AI Vendor Assessment

Use our specialized framework for third-party AI system assessment, focusing on controls to mitigate risks and prevent legal issues, ensuring vendor compliance with strict standards.

Flexible 3rd-Party AI Integrations

Facilitate easy integration with any third-party provider, collecting metadata for a centralized AI management system view and unifying organizational AI management across platforms and providers.

Download the EU AI Act Guide

Learn how to ensure your AI systems comply with the EU AI Act. This guide provides a clear overview of the regulation, mandatory compliance requirements, and how to prepare your AI operations for these changes.

Flexible Deployment Solutions

Offering SaaS deployment for optimal flexibility, along with managed infrastructure, VPC, and on-premises options to meet more stringent requirements

SaaS

The ideal choice for maximizing flexibility and capitalizing on marketplace billing systems Recommended for both SMEs and large enterprises

Private Deployment

For large enterprises with complex and demanding requirements offer the robustness, security, and customization needed to meet specific operational needs

Benefits

Risk-centric AI governance aligned to ISO/IEEE

  • Reduces regulatory risks
  • Enhances ethical AI deployment
  • Manage reputational risks

Unified AI Management System

  • Centralized AI asset management
  • Streamlines operations and improves efficiency
  • AI projects and processes command center

Standardized AI Practices

  • Uniform AI deployment and management
  • Simplifies governance and boosts operational integrity
  • Achieves consistency and high quality across BUs

Accelerated Framework Compliance

  • Speeds up regulatory compliance with AI assistance
  • Simplifies navigation of complex regulations
  • Saves time and resources

Multi-Stakeholder Interplay

  • Promotes collaborative stakeholder engagement
  • Provides an AI projects overview
  • Aligns projects with business, ethical, and regulatory standards

FAQ

1. Why do I need your solution?

Our solution streamlines AI governance, risk management, and compliance, making it easier to align with global standards while enhancing operational efficiency. It offers a proactive approach to managing AI risks and ensures your AI initiatives are both innovative and ethically governed, safeguarding against regulatory pitfalls and fostering trust in your AI deployments.

2. Are you a data governance platform?

No, we are a GRC (Governance, Risk, and Compliance) platform. Our focus is on bridging the gap between data science and governance, while also managing organizational risks. Additionally, we offer the capability to adhere to multiple frameworks simultaneously by capitalizing on shared controls.

3. Do I need to send you my data?

No, you don't. While our SaaS deployment is ideal for SMEs and Enterprises, we understand data sensitivity concerns, especially for large organizations. We offer on-prem or private cloud options to ensure no data exchange with our platform. Your data science teams can continue to operate in their existing development environments without ingesting datasets or models into our platform.

4. How can you claim EU AI Act adherence if it is not yet in force?

Following the vote on 13th of March 2024, the final version of the EU AI Act is expected to be published in the Official Journal of the European Union in April 2024.

5. What international standards is the Modulos AI Governance Platform based on?

The Modulos AI Governance platform is based on the developing ISO standards, specifically ISO/IEC 38507:2022 (Governance of IT - Governance implications of the use of artificial intelligence by organizations), ISO/IEC 23894:2023 (Artificial intelligence - Guidance on risk management, ISO/IEC FDIS 5338 (Artificial intelligence - AI system life cycle processes), ISO/IEC 24028:2020 (Artificial intelligence - Overview of trustworthiness in artificial intelligence), ISO/IEC TR 24027:2021 (Artificial intelligence - Bias in AI systems and AI aided decision making), and ISO/IEC TR 24368:2022 (Artificial intelligence - Overview of ethical and societal concerns). We help you build AI in line with these standards.

Learn More

Operationalizing the EU AI Act - The Role of Standards
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Operationalizing the EU AI Act - The Role of Standards

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Operationalizing the EU AI Act - How to start getting ready today?

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The Global Impact of the EU AI Act: A Brussels Side-Effect?

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Embrace Ethical Innovation

Start Your Journey to Responsible AI Governance with Modulos