Modulos Responsible AI Platform
In the rapidly evolving landscape of AI regulation, organizations are grappling with the complexities of adhering to multiple frameworks, managing risks, and ensuring responsible AI practices. Modulos introduces our Responsible AI platform which uniquely combines vertical and horizontal approaches to address these challenges.
5 Steps to AI Compliance
Step 1
Requirements, Risk, and Settings Setup
Align your AI projects with industry standards and regulations to streamline the compliance process. This step involves reviewing your AI solutions to ensure they meet ethical and regulatory benchmarks, which reduces the risk of complications and establishes a strong foundation for responsible AI development.
Step 2
Controls Assignment and Evidence Generation
The platform provides a clear framework for delegating specific controls to your teams, enhancing accountability and transparency throughout the process. This step is vital for generating tangible evidence of compliance with ethical AI practices, strengthening the governance structure, and fostering a culture of responsibility across your organization. It guarantees that every action in your AI journey is transparent, accountable, and in line with the highest standards.
Step 3
Risk Identification and Assessment
Identify and evaluate potential AI risks in your projects. Use our platform’s tools to proactively assess risks, prioritizing safety and ethical considerations. This step is about conducting a thorough risk assessment to spot any issues early on, allowing for proactive problem-solving and ensuring the ethical deployment of AI technologies.
Step 4
Risks Treatment
Engage in a collaborative effort to develop and implement a risk mitigation plan, bringing together business units, legal and compliance teams, risk managers, and data scientists. The goal is to create a balanced and strategic approach to minimize risks and ensure ethical AI use across your organization.
Step 5
Report Generation
The final step involves documenting the actions taken and sharing the outcomes with all relevant parties. This transparency demonstrates a commitment to responsible AI and enhances the trustworthiness and reputation of your AI practices within the ecosystem.
Features for 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.
AI Guidance
Use our smart AI assistant to navigate data science complexities, suggesting new risks and controls while accelerating compliance with prefilling report features, making risk management more intuitive.
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.
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
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
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 Responsible AI Platform based on?
The Modulos Responsible AI 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
Embrace Ethical Innovation
Start Your Journey to Responsible AI Governance with Modulos
