Stop Guessing
at AI Risk
Quantify AI risk exposure in monetary terms. AI agents assist with risk identification and scoring, all connected to mitigating controls.
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Why Traditional AI Risk Assessment Falls Short
Qualitative methods can't answer the questions leadership is asking.
Qualitative and stale assessments
"High/Medium/Low" doesn't cut it when the board asks what your actual exposure is. And by the time the assessment is done, it's already outdated.
No portfolio view
Risk assessed per-project, but nobody sees the aggregate exposure across all AI systems.
Disconnected from controls
Risks identified but no clear link to what's actually mitigating them.
Audit trail gaps
Risk decisions made in meetings with no documentation of rationale or methodology.
How Modulos Solves It
Purpose-built capabilities that scale with your needs.
Quantify Risk in Monetary Terms
Express AI risk exposure in EUR, CHF, or USD. Choose the method that matches your maturity — from risk matrices and scenario analysis to Monte Carlo simulation with VaR/CVaR output.
Risk Value Over Time
Track how risk exposure evolves at project and organization level. See current value, 7-day change, and utilization against your risk limits — with trend lines, moving averages, and threshold alerts.
Risk Appetite & Limits
Define organization-wide risk tolerance. Set category limits. Automatically flag when projects exceed their allocated risk budget.
Risk and Threat Vector Tracking
Track risk and threat vectors to your AI system and quantify their impact.
Organization Risk Taxonomy
Define your own risk categories and scoring criteria. Once set, risks become comparable across all AI projects in your portfolio.
Automated Risk Quantification
Point the Risk Agent at any risk. It inspects your code, logs, controls, and evidence, then produces a justified monetary estimate. Schedule it to run weekly — get a risk trend, not a risk snapshot.
Investigate
Pulls structural data from your projects — users, revenue, data volumes, frameworks mapped
Audit
Maps existing controls to threats and calculates a mitigation factor from your evidence and test results
Quantify
Runs Fermi estimation using platform data and industry benchmarks to produce a monetary risk value
Justify
Delivers a full analysis breakdown with sources, methodology, and reasoning you can hand to an auditor
Every run is logged with full reasoning. When the agent can't quantify, it tells you exactly what data is missing — no made-up numbers.
Four Pillars. One Platform.
Discover more about the other pillars: Governance, Compliance and AI Agents.
Governance
Run AI governance like an operating system
Project dashboards, AI lifecycle tracking, ownership workflows, and complete audit trails.
Risk
Quantify AI risk, allocate budgets, track mitigation
Organization-wide risk overview, taxonomy limits, and risk-to-control mapping.
Compliance
Multi-framework compliance without duplicate work
One control satisfies many frameworks. Evidence browser with full audit trail.
Agents
Human-in-the-loop AI agents for GRC work
Scout Assistant, evidence automation, control assessments — all with human oversight.
See Risk Quantification in Action
Book a demo to see how Modulos transforms AI governance from a compliance burden into a strategic value driver.