What is Modulos Agentic AI Governance Platform?
A platform that provides a solution for simplified, responsible AI governance and proactive risk management. It integrates frameworks, manages risks associated to deploying AI throughout an enterprise, and ensures compliance with global standards, while maintaining enterprise audit readiness.
The initial discovery step lays the groundwork for a project, enabling access to a set of pre-filled controls tailored to any selected AI regulatory frameworks. Then the user's organization fulfills the controls outlined by various regulatory frameworks. The 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.
The next step is to identify and mitigate risk. This ensures that all relevant risks are addressed, and any residual risks are documented and justified, supporting a comprehensive risk management strategy. Then continuous risk tracking can commence. This step ensures that a deployed AI system consistently operates within the acceptable limits of identified residual risks.
Finally, the platform is used to aggregate and document all necessary information for audits and management. It ensures external stakeholders can easily assess the AI system’s compliance with applicable frameworks, fostering transparency and accountability.
The initial discovery step lays the groundwork for a project, enabling access to a set of pre-filled controls tailored to any selected AI regulatory frameworks. Then the user's organization fulfills the controls outlined by various regulatory frameworks. The 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.
The next step is to identify and mitigate risk. This ensures that all relevant risks are addressed, and any residual risks are documented and justified, supporting a comprehensive risk management strategy. Then continuous risk tracking can commence. This step ensures that a deployed AI system consistently operates within the acceptable limits of identified residual risks.
Finally, the platform is used to aggregate and document all necessary information for audits and management. It ensures external stakeholders can easily assess the AI system’s compliance with applicable frameworks, fostering transparency and accountability.
