The AI Governance Loop

One loop, one Governance Graph. Govern every AI system continuously and autonomously, from discovery all the way to a euro-denominated view of risk.

01 · Discover

Build an accurate, living AI registry. Discovery surfaces shadow AI and sanctioned systems alike, and onboarding classifies each one and routes it by how much it can do.

• Modulos: unified registry, shadow-AI reconciliation, risk assessment, and conditional approval.

02 · Govern

Turn compliance objectives into enforceable rules. Select the frameworks that apply, then let each policy compile into a runtime detection rule for the engines that watch.

• Modulos: EU AI Act, ISO 42001 and NIST AI RMF libraries, with policy-to-runtime translation.

03 · Detect

Catch violations while they happen. A scheduled runtime inspection invalidates the affected control and notifies its owner in minutes, not at the next audit.

• Modulos: continuous inspections mapped to every framework at once.

04 · Investigate

Let the platform gather its own evidence. Scout pulls the trail from code, cloud, metrics and traces, and pins each finding to the controls it breaks.

• Modulos: agentic investigation, with no analyst ticket.

05 · Remediate

Fix it and track it to closure. A custom control opens with the evidence attached and a named owner; open and closed remediations stay visible until verified.

• Modulos: assigned controls, structured signoff, and audit-ready evidence.

06 · Re-quantify

Put the risk in money. The Risk agent re-prices the affected threat vectors on a live dashboard, and every finding feeds back into the registry and the policies.

• Modulos: Fermi and Monte Carlo quantification, expressed in euros.

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Continuous. Autonomous. Auditable.

Hundreds of AI systems, every framework, on one Governance Graph.

Book a demo → modulos.ai

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