AI risk assessor

Catalog your AI systems, evaluate them against the EU AI Act classifications, and map them to the NIST AI Risk Management Framework.

1. AI Inventory

2. EU AI Act

3. NIST AI RMF

4. Shadow AI Risk

System Inventory (0)

EU AI Act Classification

NIST AI RMF Mapping

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The NIST AI Risk Management Framework (AI RMF 1.0) provides a structured approach to improving the trustworthiness of AI systems. It is broken down into four core functions: Govern (culture and policies), Map (context and risks), Measure (assessment and tracking), and Manage (risk prioritization and response).

Unsanctioned AI Tool Risk

Calculate the potential monetary risk exposure from employees using unsanctioned (Shadow) AI tools based on data sensitivity and organizational size.

Estimated Employees Using Unsanctioned AI

Sensitivity of Data Potentially Uploaded

Estimated Daily Prompts per Employee

1. Does the system use subliminal techniques, exploit vulnerabilities, or do social scoring?

2. Is it used for biometric categorization, emotion recognition in workplace/education, or real-time remote biometric ID in public spaces?

3. Is it a safety component of a regulated product (e.g. medical device, machinery)?

4. Is it used in critical infrastructure, education, employment, essential services, law enforcement, or justice?

5. Is it intended to interact directly with natural persons (e.g. chatbot) or generate deepfakes?

Govern (Policies, risk management culture, accountability)

Map (Context recognized, risks identified, system categorization)

Measure (Risks assessed, tested, tracked, metrics established)

Manage (Risks prioritized and acted upon, continuous monitoring)

AI risk assessor

System Inventory (0)

EU AI Act Classification

NIST AI RMF Mapping

Unsanctioned AI Tool Risk

Add AI System

EU AI Act Classification

NIST AI RMF Mapping